{ "schemaVersion": 1, "catalog": [ { "id": "discovery", "title": "Discovery and delivery planning", "headline": "Plan a measurable engagement", "summary": "Start with a business question, a baseline and a decision owner. Agree what success means before selecting tools.", "status": "service", "category": "business", "topic": "reports", "path": "/data-intelligence/solutions/discovery/", "inputs": [ "Business decision or repetitive task", "Named sponsor and acceptance owner", "Authorized sample and process owners", "Budget, timing, and constraints" ], "deliverables": [ "Discovery brief", "Process baseline", "Delivery scope", "Acceptance plan" ], "acceptance": [ "Scope identifies inclusions, exclusions, dependencies, estimated effort and cost assumptions.", "Success measures have a baseline, measurement method, owner, and agreed target or an explicit open question." ] }, { "id": "reporting", "title": "Reports and data foundations", "headline": "Reconcile business reports", "summary": "Bring source totals, periods and metric definitions together so teams can explain differences.", "status": "service", "category": "business", "topic": "reports", "path": "/data-intelligence/reporting-measurement/", "inputs": [ "Authorized source inventory and samples", "Business definitions and reporting periods", "Access and refresh requirements", "Source control totals" ], "deliverables": [ "Source register", "Metric contract", "Data quality report", "Model and transformations", "Report prototype", "Reconciliation", "Refresh runbook" ], "acceptance": [ "Metric definitions and source totals reconcile or have owned exceptions.", "The report answers the agreed decision and access, refresh, and failure behavior are demonstrated." ] }, { "id": "marketing", "title": "Marketing measurement", "headline": "Understand campaign results", "summary": "Compare spend and recorded outcomes using consistent windows and explicitly stated attribution limits.", "status": "service", "category": "communication", "topic": "marketing", "path": "/data-intelligence/reporting-measurement/", "inputs": [ "Authorized campaign spend and sales data", "Attribution definition, window, and limitations", "Channel taxonomy and currency", "Business question and measurement period" ], "deliverables": [ "Measurement plan", "Metric contract", "Data quality report", "Performance report", "Recommendations", "Experiment plan" ], "acceptance": [ "Ratios use consistent totals and attribution is explicit.", "Observational results are separated from causal claims; missing tracking and uncertainty are visible." ] }, { "id": "invoice-intake", "title": "Supplier invoice intake", "headline": "Prepare invoices for review", "summary": "Turn authorized invoice samples into a scoped review workflow. Exceptions and approvals remain visible.", "status": "scoped-workflow", "category": "operations", "topic": "documents", "path": "/invoice-automation-dynamics-365/", "inputs": [ "Authorized invoice samples and extraction evidence", "Vendor and purchase-order snapshots", "Legal entity, currency, duplicate history", "Approval policy and D365 sandbox owner" ], "deliverables": [ "Intake contract", "Extraction evaluation", "Validation report", "Review queue", "Draft mapping", "Approval and retry design", "Uat evidence" ], "acceptance": [ "Duplicate, low-confidence, totals, vendor, bank-change, and PO exceptions reach review or quarantine.", "Only approved proposals can enter an idempotent sandbox draft adapter; no posting or payment is automated." ] }, { "id": "order-intake", "title": "Customer order intake", "headline": "Prepare orders for review", "summary": "Identify missing customer, product and commercial evidence before a proposed order reaches a reviewer.", "status": "scoped-workflow", "category": "operations", "topic": "documents", "path": "/invoice-automation-dynamics-365/", "inputs": [ "Authorized order samples and extraction evidence", "Customer, item, ship-to and price snapshots", "Credit and availability service evidence", "Approval policy and D365 sandbox owner" ], "deliverables": [ "Intake contract", "Extraction evaluation", "Validation report", "Review queue", "Draft mapping", "Approval and retry design", "Uat evidence" ], "acceptance": [ "Missing customer, item, commercial, credit, availability, or duplicate evidence holds the order.", "Draft mapping preserves uncertainty and approval; no sales confirmation or fulfillment is automated." ] }, { "id": "microsoft-foundations", "title": "Microsoft platform foundations", "headline": "Build a governed data foundation", "summary": "Agree source ownership, access, reporting architecture, capacity and recovery before connecting environments.", "status": "service", "category": "business", "topic": "architecture", "path": "/data-intelligence/solutions/microsoft-foundations/", "inputs": [ "Approved tenant and environment inventory", "Licensing, region, capacity, and identity constraints", "Data classification and source ownership", "Recovery, budget, and support requirements" ], "deliverables": [ "Architecture decisions", "Access matrix", "Environment and cost plan", "Deployment source", "Validation plan", "Operations handoff" ], "acceptance": [ "D365 transactional authority, Dataverse evidence, and Azure runtime boundaries remain explicit.", "Infrastructure source is reviewable; environment, licensing, access, rollback, and cost assumptions have named owners." ] }, { "id": "workflow-automation", "title": "AI and workflow automation", "headline": "Choose useful automation", "summary": "Map the task, exceptions and human decisions; evaluate a bounded workflow using an authorized sample.", "status": "service", "category": "operations", "topic": "automation", "path": "/data-intelligence/solutions/workflow-automation/", "inputs": [ "Process map, exceptions, and authorized examples", "Named human reviewers and escalation policy", "Allowed connectors and environment", "Baseline time, error, quality, and cost measurements" ], "deliverables": [ "Process design", "Workflow source", "Evaluation set", "Evaluation results", "Approval and retry design", "Adoption and operations plan" ], "acceptance": [ "Workflow handles denial, missing data, injected instructions, retries, and duplicate requests.", "Quality, cost, latency, adoption, and support are measured before expansion; writes require real runtime authorization." ] }, { "id": "market-pulse", "title": "Market Pulse PH", "headline": "Read Philippine economic context", "summary": "Explore four official national price and employment series with periods, sources and reusable CSV snapshots.", "status": "pilot", "category": "consumer", "topic": "market", "path": "/data-intelligence/market-pulse/", "inputs": [ "Existing /api/market-pulse contract and code", "Official PSA source references", "Observed payloads and source publication dates", "Current monitoring and refresh configuration" ], "deliverables": [ "Source register", "Freshness audit", "Reconciliation", "Monitoring runbook" ], "acceptance": [ "Publication period, retrieval time, and cache age are distinct; unavailable data is never zero.", "Existing four-metric PSA model and refresh pipeline are reused and freshness claims match observed behavior." ] }, { "id": "promo-monitor", "title": "Promo Monitor PH", "headline": "Compare promotion evidence", "summary": "A planned pilot for like-for-like offers with source dates, pack sizes, locations and eligibility. Fictional walkthrough available.", "status": "planned", "category": "consumer", "topic": "promo", "path": "/data-intelligence/promo-monitor/", "inputs": [ "Authorized public source allowlist", "Comparable product, location, and currency definitions", "Timestamped evidence captures", "Coverage limits and collection permission" ], "deliverables": [ "Collection plan", "Evidence register", "Comparison report", "Coverage and limitations", "Pilot acceptance plan" ], "acceptance": [ "Every observation has a source and capture time; restrictions and collection failures are respected.", "Missing observations do not prove a promotion ended; launch remains planned until separately accepted." ] }, { "id": "ai-visibility", "title": "AI Visibility PH", "headline": "Assess AI answer visibility", "summary": "A planned evaluation of mentions, citations and factual accuracy across a defined set of AI questions and providers.", "status": "planned", "category": "communication", "topic": "visibility", "path": "/data-intelligence/ai-visibility/", "inputs": [ "Approved prompt panel and language/market scope", "Existing CITED harness and provider availability", "Dated raw answers and citations", "Repeat policy and brand claim sources" ], "deliverables": [ "Measurement plan", "Capture manifest", "Harness results", "Claims and limitations", "Remediation backlog" ], "acceptance": [ "Provider, model, date, repeats, failures, and source provenance accompany every score.", "Unavailable providers and synthetic captures are labelled; no guaranteed ranking or live-product claim." ] }, { "id": "community", "title": "Community learning programme", "headline": "Learn to question online information", "summary": "A proposed community programme for checking sources, privacy and responsible participation; no contributions are accepted.", "status": "proposed", "category": "learning", "topic": "reports", "path": "/data-intelligence/community/", "inputs": [ "Audience, language, accessibility, and session purpose", "Named delivery partner and facilitator", "Verified learning sources and local referral contacts", "Privacy and safeguarding requirements" ], "deliverables": [ "Programme brief", "Session plan", "Participant materials", "Facilitator guide", "Privacy and safeguarding plan", "Feedback and evaluation" ], "acceptance": [ "Materials are accessible, sourced, and reviewed by an appropriate facilitator.", "No invented partners, donation mechanism, booked session, or legal/medical guarantee is advertised." ] } ], "taxonomy": { "objectives": [ { "id": "reconcile-reports", "title": "Reconcile reports", "question": "Which totals disagree, and which source should each decision use?", "note": "Bring source totals, period boundaries and a sample of unexplained differences.", "offerings": [ "reporting", "microsoft-foundations" ] }, { "id": "measure-campaigns", "title": "Measure campaign results", "question": "What outcomes were recorded for the spend, period and attribution window?", "note": "Keep conversions and revenue definitions consistent across channels.", "offerings": [ "marketing" ] }, { "id": "understand-prices", "title": "Understand price context", "question": "How do national price movements relate to the questions in your own purchasing report?", "note": "National inflation is context; it does not measure your supplier prices.", "offerings": [ "market-pulse", "reporting" ] }, { "id": "plan-workforce", "title": "Put employment in context", "question": "What can national labor indicators tell you alongside your own workforce evidence?", "note": "Keep unemployment and underemployment denominators separate; avoid inferring local skill supply.", "offerings": [ "market-pulse", "reporting" ] }, { "id": "compare-promotions", "title": "Compare like-for-like offers", "question": "Are product, pack, location, eligibility and validity aligned?", "note": "Real source collection remains planned; the public example is fictional.", "offerings": [ "promo-monitor" ] }, { "id": "improve-ai-discovery", "title": "Understand AI answers", "question": "Which fixed questions should a brand answer correctly, and with which citations?", "note": "Provider access and repeated observations are required; measurement is not live.", "offerings": [ "ai-visibility" ] }, { "id": "review-invoices", "title": "Reduce invoice review friction", "question": "Which exceptions prevent an invoice from reaching a human approval decision?", "note": "Use authorized samples; no autonomous posting or payment is included.", "offerings": [ "invoice-intake" ] }, { "id": "review-orders", "title": "Reduce order intake friction", "question": "Which required order details are missing, ambiguous or inconsistent?", "note": "Price, credit, availability and confirmation remain controlled decisions.", "offerings": [ "order-intake" ] }, { "id": "automate-tasks", "title": "Automate a bounded task", "question": "Which repeated task has clear inputs, exception rules and an accountable owner?", "note": "Start with reversible proposals and a human review checkpoint.", "offerings": [ "workflow-automation", "discovery" ] }, { "id": "govern-data", "title": "Define data ownership", "question": "Who can authorize a source, a metric definition and a downstream use?", "note": "List the source owner, allowed use, access and retention before integration.", "offerings": [ "microsoft-foundations", "discovery" ] }, { "id": "improve-refresh", "title": "Make refresh dependable", "question": "What happens when a source is delayed, unavailable or revised?", "note": "Define freshness separately from observation period and agree failure behavior.", "offerings": [ "reporting", "microsoft-foundations" ] }, { "id": "design-experiment", "title": "Plan an experiment", "question": "What intervention and comparison would test the business question?", "note": "Design, sample requirements and uncertainty must precede claims of causal impact.", "offerings": [ "marketing", "discovery" ] }, { "id": "understand-customers", "title": "Scope customer research", "question": "Which customer decision needs new evidence and whose experience is missing?", "note": "This is a research-scoping conversation, not an available representative panel.", "offerings": [ "discovery" ] }, { "id": "review-creative", "title": "Frame a creative evaluation", "question": "What audience response would make a creative decision more defensible?", "note": "Authorized creative assets and a research design are needed; predictive scores are not offered here.", "offerings": [ "marketing", "discovery" ] }, { "id": "assess-competition", "title": "Scope competitor intelligence", "question": "Which comparisons can be supported by permitted, comparable evidence?", "note": "No licensed competitor spend, private data or comprehensive market coverage is available through this catalog.", "offerings": [ "discovery" ] }, { "id": "set-brand-kpis", "title": "Define brand measures", "question": "Which brand question needs tracking, with what audience and denominator?", "note": "A recurring representative brand tracker requires a separately approved research programme.", "offerings": [ "marketing", "discovery" ] }, { "id": "map-journey", "title": "Map a customer journey", "question": "Where do customers encounter friction, and which observations support that view?", "note": "Interviews and analytics require approved scope; sketches are hypotheses until validated.", "offerings": [ "discovery" ] }, { "id": "design-crm", "title": "Scope CRM improvements", "question": "Which permissioned customer workflow should improve, and who can authorize the action?", "note": "CRM access, consent scope and destination controls must be agreed before activation.", "offerings": [ "workflow-automation", "discovery" ] }, { "id": "build-literacy", "title": "Build data literacy", "question": "Can your team explain a rate, a period and a missing observation?", "note": "Use the dictionary and self-guided exercises; the community programme is still proposed.", "offerings": [ "community", "market-pulse" ] }, { "id": "plan-delivery", "title": "Agree delivery acceptance", "question": "What input, artifact and observable check would prove the engagement worked?", "note": "Name the sponsor, acceptance owner, sample, success measure and support owner.", "offerings": [ "discovery" ] } ], "industries": [ { "id": "retail", "title": "Retail and grocery", "question": "Stores, SKUs and promotion periods", "note": "Compare the same pack and eligibility across a defined store cohort.", "offerings": [ "reporting", "marketing", "promo-monitor", "market-pulse" ] }, { "id": "consumer-goods", "title": "Consumer goods", "question": "Product mix, sell-in, sell-out and returns", "note": "Distinguish channel sales from household consumption; national CPI is not a brand sales proxy.", "offerings": [ "reporting", "marketing", "market-pulse" ] }, { "id": "ecommerce", "title": "E-commerce", "question": "Orders, returns, fees and attribution", "note": "Reconcile gross orders to cancellations and refunds before measuring channel outcomes.", "offerings": [ "reporting", "marketing", "order-intake" ] }, { "id": "agencies", "title": "Marketing and creative agencies", "question": "Campaign taxonomy, creative versions and recorded outcomes", "note": "Keep observational channel performance separate from incremental impact.", "offerings": [ "marketing", "ai-visibility", "workflow-automation" ] }, { "id": "media", "title": "Media and entertainment", "question": "Campaigns, content and licensed audience measures", "note": "Audience panels and industry spending require approved data rights; they are not bundled here.", "offerings": [ "reporting", "marketing", "discovery" ] }, { "id": "hospitality", "title": "Hospitality and food service", "question": "Locations, occupancy or covers, menus and costs", "note": "Align reporting periods and location definitions before comparing performance.", "offerings": [ "reporting", "invoice-intake", "market-pulse" ] }, { "id": "manufacturing", "title": "Manufacturing", "question": "Materials, purchasing, production and exceptions", "note": "Reconcile units, currency and legal entity; a national price index does not price a bill of materials.", "offerings": [ "reporting", "invoice-intake", "microsoft-foundations" ] }, { "id": "distribution", "title": "Distribution and logistics", "question": "Orders, delivery events and supplier invoices", "note": "Use consistent event timestamps and separate draft proposals from confirmed orders.", "offerings": [ "reporting", "order-intake", "invoice-intake" ] }, { "id": "professional-services", "title": "Professional services", "question": "Projects, utilization and billing records", "note": "Agree the calculation grain and reconcile invoices before comparing client work.", "offerings": [ "reporting", "workflow-automation", "invoice-intake" ] }, { "id": "financial-services", "title": "Financial services operations", "question": "Authorized operational reports and controlled review queues", "note": "Customer-sensitive records and regulated decisions need an approved scope and access boundary.", "offerings": [ "reporting", "microsoft-foundations", "discovery" ] }, { "id": "health-services", "title": "Health services operations", "question": "Administrative processes and aggregated reporting", "note": "Avoid patient-level data in public inquiries; clinical decisions are outside this service catalog.", "offerings": [ "discovery", "microsoft-foundations", "invoice-intake" ] }, { "id": "education", "title": "Education and training", "question": "Administrative workflows and learning measures", "note": "Protect learner identities; the public exercises use fictional numbers and do not certify competence.", "offerings": [ "reporting", "workflow-automation", "community" ] }, { "id": "telecommunications", "title": "Telecommunications", "question": "Products, service periods and customer workflows", "note": "Define the permitted customer data and denominator before comparing retention measures.", "offerings": [ "reporting", "marketing", "discovery" ] }, { "id": "property", "title": "Property and facilities", "question": "Assets, suppliers and service requests", "note": "Track agreed asset and location identifiers; no property valuation is implied.", "offerings": [ "reporting", "invoice-intake", "workflow-automation" ] }, { "id": "automotive", "title": "Automotive and mobility", "question": "Products, locations, leads and service orders", "note": "Keep lead attribution, sales and after-sales periods distinct.", "offerings": [ "reporting", "marketing", "order-intake" ] }, { "id": "nonprofits", "title": "Nonprofits and community organisations", "question": "Programme outputs, restricted funds and participation", "note": "Distinguish delivered activities from independently measured social outcomes.", "offerings": [ "reporting", "discovery", "community" ] } ] }, "dictionary": [ { "id": "attribution", "title": "Attribution", "group": "marketing", "definition": "A rule or model for assigning recorded outcomes to marketing interactions.", "caution": "An assigned conversion is not proof that a channel caused it." }, { "id": "attribution-window", "title": "Attribution window", "group": "marketing", "definition": "The interval in which an interaction can receive credit for an outcome.", "caution": "Use the same window when comparing reports." }, { "id": "audience", "title": "Audience", "group": "marketing", "definition": "The people or accounts included in a communication or measurement scope.", "caution": "State eligibility, geography and observation period." }, { "id": "awareness", "title": "Awareness", "group": "marketing", "definition": "Recognition or recall of a brand within a defined audience.", "caution": "Specify prompted or unprompted questioning and the sample." }, { "id": "brand-consideration", "title": "Brand consideration", "group": "marketing", "definition": "Whether respondents include a brand among options they might choose.", "caution": "Stated consideration is not an observed purchase." }, { "id": "brand-loyalty", "title": "Brand loyalty", "group": "marketing", "definition": "A defined pattern of repeated preference or purchasing.", "caution": "Choose a behavioral or survey definition before measuring it." }, { "id": "brand-tracking", "title": "Brand tracking", "group": "marketing", "definition": "Repeated measurement of agreed brand indicators.", "caution": "Keep the sample and method comparable between waves." }, { "id": "campaign", "title": "Campaign", "group": "marketing", "definition": "A bounded collection of marketing activity organized around a purpose.", "caution": "Use stable identifiers across spend and outcome sources." }, { "id": "channel", "title": "Channel", "group": "marketing", "definition": "A defined route through which communication reaches an audience.", "caution": "Document how ambiguous traffic is classified." }, { "id": "click-through-rate", "title": "Click-through rate", "group": "marketing", "definition": "Clicks divided by impressions, expressed as a percentage.", "caution": "Use matching periods and click definitions; do not average channel percentages without weights." }, { "id": "conversion", "title": "Conversion", "group": "marketing", "definition": "A recorded action selected as an outcome, such as an inquiry or purchase.", "caution": "Define the action, deduplication and attribution window." }, { "id": "conversion-rate", "title": "Conversion rate", "group": "marketing", "definition": "Conversions divided by an explicitly chosen eligible denominator.", "caution": "Rates per session and per user answer different questions." }, { "id": "cost-per-click", "title": "Cost per click", "group": "marketing", "definition": "Ad spend divided by counted clicks.", "caution": "Use the same currency and included costs; zero clicks makes the ratio undefined." }, { "id": "cost-per-acquisition", "title": "Cost per acquisition", "group": "marketing", "definition": "Included acquisition spend divided by recorded acquisitions.", "caution": "Define acquisition and included costs; attribution does not establish causality." }, { "id": "cost-per-lead", "title": "Cost per lead", "group": "marketing", "definition": "Included spend divided by qualifying recorded leads.", "caution": "Document qualification and duplicate handling." }, { "id": "cost-per-thousand", "title": "Cost per thousand", "group": "marketing", "definition": "Spend divided by impressions and multiplied by one thousand.", "caution": "An impression is not necessarily a unique person or an attentive view." }, { "id": "customer-acquisition-cost", "title": "Customer acquisition cost", "group": "marketing", "definition": "A defined total of acquisition costs divided by new customers.", "caution": "Explain cost inclusion and the period linking spending to customers." }, { "id": "customer-journey", "title": "Customer journey", "group": "marketing", "definition": "The sequence of touchpoints a customer experiences around a decision or service.", "caution": "A proposed journey map needs observations before it can describe actual behavior." }, { "id": "customer-retention", "title": "Customer retention", "group": "marketing", "definition": "Continued participation or purchasing by a defined customer cohort.", "caution": "Specify the starting cohort, activity rule and observation period." }, { "id": "churn-rate", "title": "Churn rate", "group": "marketing", "definition": "Departures from a defined customer population over a stated period.", "caution": "The denominator and departure rule must be explicit." }, { "id": "engagement", "title": "Engagement", "group": "marketing", "definition": "A defined interaction such as a click, comment or response.", "caution": "Different platforms and reports include different actions." }, { "id": "engagement-rate", "title": "Engagement rate", "group": "marketing", "definition": "Counted engagement divided by a stated exposure or audience measure.", "caution": "Rates using reach, impressions and followers cannot be treated as interchangeable." }, { "id": "frequency", "title": "Frequency", "group": "marketing", "definition": "The number of exposures attributed to an audience unit in a period.", "caution": "An average can hide people who received very few or very many exposures." }, { "id": "impressions", "title": "Impressions", "group": "marketing", "definition": "The number of counted displays of a communication.", "caution": "Repeated displays can belong to the same person." }, { "id": "reach", "title": "Reach", "group": "marketing", "definition": "The deduplicated audience count under the measurement system's rules.", "caution": "Do not sum channel reach unless overlap is accounted for." }, { "id": "lead", "title": "Lead", "group": "marketing", "definition": "A person or organization expressing an interest under a defined qualification rule.", "caution": "A lead is not a confirmed sale." }, { "id": "media-mix", "title": "Media mix", "group": "marketing", "definition": "The distribution of activity or spending across media channels.", "caution": "A spending split alone does not identify the effect of each channel." }, { "id": "paid-media", "title": "Paid media", "group": "marketing", "definition": "Distribution purchased from a publisher, platform or media owner.", "caution": "Separate media fees from production and service costs where relevant." }, { "id": "owned-media", "title": "Owned media", "group": "marketing", "definition": "Communication surfaces an organization controls, such as its website.", "caution": "Control of a surface does not establish ownership of every visitor's data." }, { "id": "earned-media", "title": "Earned media", "group": "marketing", "definition": "Third-party attention not purchased as the specific placement.", "caution": "Reach and sentiment still require a defined measurement source." }, { "id": "return-on-ad-spend", "title": "Return on ad spend", "group": "marketing", "definition": "Attributed revenue divided by ad spend.", "caution": "This is a revenue ratio, not profit, and depends on the attribution method." }, { "id": "return-on-investment", "title": "Return on investment", "group": "marketing", "definition": "A stated net return divided by the corresponding investment.", "caution": "Define costs and return before calculation; attributed revenue is not net return." }, { "id": "share-of-voice", "title": "Share of voice", "group": "marketing", "definition": "A brand's measured presence divided by the defined category total.", "caution": "The channel, cohort and unit determine what this share means." }, { "id": "share-of-spend", "title": "Share of spend", "group": "marketing", "definition": "A brand's spending divided by spending in a defined comparison set.", "caution": "An incomplete licensed panel cannot establish total market spending." }, { "id": "sentiment", "title": "Sentiment", "group": "marketing", "definition": "A classification of expressed tone or opinion in observed content.", "caution": "Automated labels can miss irony, mixed language and context." }, { "id": "social-listening", "title": "Social listening", "group": "marketing", "definition": "Reviewing permitted social content for defined topics and signals.", "caution": "Available public posts are not a representative sample of all customers." }, { "id": "search-visibility", "title": "Search visibility", "group": "marketing", "definition": "How often or prominently a site appears within a defined search measurement.", "caution": "Define queries, geography, source and period." }, { "id": "ai-answer-visibility", "title": "AI answer visibility", "group": "marketing", "definition": "Observed brand mentions or citations in responses to a fixed set of AI questions.", "caution": "Results vary by provider, model, question and time; a small panel is not universal coverage." }, { "id": "citation", "title": "Citation", "group": "data", "definition": "A reference linking a claim to a source.", "caution": "Check whether the source actually supports the claim and date." }, { "id": "first-party-data", "title": "First-party data", "group": "data", "definition": "Information an organization obtains through its own relationships or operations.", "caution": "Origin does not remove access, consent or permitted-use requirements." }, { "id": "data-source", "title": "Data source", "group": "data", "definition": "The system, publication or observation from which a value originates.", "caution": "Identify its owner, revision policy and permitted use." }, { "id": "source-register", "title": "Source register", "group": "data", "definition": "A maintained list of sources and their ownership, access and use constraints.", "caution": "A listed source is not automatically authorized for collection or publication." }, { "id": "provenance", "title": "Provenance", "group": "data", "definition": "Recorded information about where data came from and how it was handled.", "caution": "Preserve source, retrieval time, method and transformation references." }, { "id": "lineage", "title": "Lineage", "group": "data", "definition": "The sequence of transformations connecting source data to an output.", "caution": "A lineage diagram should correspond to actual processing steps." }, { "id": "schema", "title": "Schema", "group": "data", "definition": "The defined structure and types of a dataset.", "caution": "Schema agreement does not guarantee valid business meaning." }, { "id": "record", "title": "Record", "group": "data", "definition": "One structured item in a dataset.", "caution": "State what one record represents before counting records as people or transactions." }, { "id": "grain", "title": "Grain", "group": "data", "definition": "The business meaning of one row, such as one product per month.", "caution": "Joining datasets with different grains can multiply totals." }, { "id": "key", "title": "Key", "group": "data", "definition": "A field or group of fields used to identify or relate records.", "caution": "Check uniqueness and missing values before joining." }, { "id": "join", "title": "Join", "group": "data", "definition": "Combining records using a specified matching condition.", "caution": "Inspect unmatched rows and many-to-many relationships." }, { "id": "duplicate", "title": "Duplicate", "group": "data", "definition": "A record considered repeated under an explicit identity rule.", "caution": "Similar text is not always proof that two records are the same event." }, { "id": "missing-value", "title": "Missing value", "group": "data", "definition": "An absent or unknown observation.", "caution": "Missing does not mean zero, false or that an event ended." }, { "id": "zero", "title": "Zero", "group": "data", "definition": "An observed numeric value of none in the stated unit.", "caution": "Keep a measured zero distinct from an absent observation." }, { "id": "outlier", "title": "Outlier", "group": "data", "definition": "An observation unusual relative to a defined comparison.", "caution": "Investigate context before deleting it; unusual values can be real." }, { "id": "data-quality", "title": "Data quality", "group": "data", "definition": "How well data meets the needs of a particular use.", "caution": "Measure relevant dimensions such as completeness, consistency and timeliness." }, { "id": "completeness", "title": "Completeness", "group": "data", "definition": "Presence of required records or values within a defined expected set.", "caution": "A complete file can still contain inaccurate values." }, { "id": "reconciliation", "title": "Reconciliation", "group": "data", "definition": "Comparing outputs with authoritative totals and explaining differences.", "caution": "Document exceptions and ownership rather than forcing totals to match." }, { "id": "metric-contract", "title": "Metric contract", "group": "data", "definition": "An agreed definition of a metric, including inputs, formula, unit and exclusions.", "caution": "Version changes so historical comparisons remain interpretable." }, { "id": "denominator", "title": "Denominator", "group": "data", "definition": "The quantity dividing the numerator in a ratio.", "caution": "Different denominators can produce different answers from the same numerator." }, { "id": "numerator", "title": "Numerator", "group": "data", "definition": "The counted or measured quantity above the division line in a ratio.", "caution": "Its scope must align with the denominator." }, { "id": "percentage-point", "title": "Percentage point", "group": "data", "definition": "The arithmetic difference between two percentages.", "caution": "A move from 10% to 12% is two percentage points, not two percent relative growth." }, { "id": "weighted-average", "title": "Weighted average", "group": "data", "definition": "An average in which observations contribute according to specified weights.", "caution": "For aggregated rates, use the relevant denominator as the weight." }, { "id": "baseline", "title": "Baseline", "group": "data", "definition": "The reference observation or condition used for comparison.", "caution": "Record the method and period before judging changes against it." }, { "id": "cohort", "title": "Cohort", "group": "research", "definition": "A group defined by shared eligibility or starting conditions.", "caution": "Keep membership rules explicit when comparing periods." }, { "id": "sample", "title": "Sample", "group": "research", "definition": "The selected observations used to learn about a wider population.", "caution": "A large sample alone does not remove selection bias." }, { "id": "population", "title": "Population", "group": "research", "definition": "The full set of units to which a question or result refers.", "caution": "Specify geography, eligibility and period before generalizing." }, { "id": "selection-bias", "title": "Selection bias", "group": "research", "definition": "A distortion arising from how observations enter a sample.", "caution": "Convenient or visible observations may systematically exclude important groups." }, { "id": "survey", "title": "Survey", "group": "research", "definition": "A structured process for collecting responses to defined questions.", "caution": "Question wording, recruitment and nonresponse influence interpretation." }, { "id": "interview", "title": "Interview", "group": "research", "definition": "A guided conversation used to learn from a participant's account.", "caution": "An individual account is evidence of that experience, not population prevalence." }, { "id": "hypothesis", "title": "Hypothesis", "group": "research", "definition": "A proposition that can be assessed using an explicit method and evidence.", "caution": "State what observation could count against it." }, { "id": "experiment", "title": "Experiment", "group": "research", "definition": "A study that deliberately changes a condition and compares outcomes.", "caution": "Comparison design and assignment determine what causal conclusions are supportable." }, { "id": "control-group", "title": "Control group", "group": "research", "definition": "A comparison group used to assess an intervention.", "caution": "Explain how it was selected and whether it is comparable." }, { "id": "correlation", "title": "Correlation", "group": "research", "definition": "A measured association between variables.", "caution": "Association alone does not establish that one variable causes the other." }, { "id": "causality", "title": "Causality", "group": "research", "definition": "A relationship in which changing one condition changes an outcome.", "caution": "Causal claims require an appropriate design and defensible assumptions." }, { "id": "uncertainty", "title": "Uncertainty", "group": "research", "definition": "The limitations on how precisely or confidently an observation supports a conclusion.", "caution": "State known measurement, sampling and modeling limitations." }, { "id": "forecast", "title": "Forecast", "group": "research", "definition": "A model-based statement about a future outcome.", "caution": "Publish assumptions and uncertainty; a recent observation is not a forecast." }, { "id": "observation-period", "title": "Observation period", "group": "statistics", "definition": "The time interval a published value describes.", "caution": "It can differ from the publication date and the time your system fetched it." }, { "id": "retrieval-time", "title": "Retrieval time", "group": "data", "definition": "The timestamp at which a system obtained a source response.", "caution": "A new retrieval does not mean the underlying observation is new." }, { "id": "source-update", "title": "Source update", "group": "data", "definition": "The update timestamp supplied by the publisher.", "caution": "Preserve the source's timezone meaning rather than inventing one." }, { "id": "freshness", "title": "Freshness", "group": "data", "definition": "Whether a value meets a specified age or retrieval policy.", "caution": "Freshness of retrieval is separate from the age of the observation period." }, { "id": "cached-data", "title": "Cached data", "group": "data", "definition": "A stored response reused instead of a new successful retrieval.", "caution": "Label its age and do not use it beyond the agreed expiry bound." }, { "id": "revision", "title": "Revision", "group": "statistics", "definition": "A publisher's change to an earlier observation or estimate.", "caution": "Record versions or explain when historical comparisons may change." }, { "id": "consumer-price-index", "title": "Consumer price index", "group": "statistics", "definition": "An index tracking prices for a defined consumer basket under an official method.", "caution": "It does not measure the exact spending or input costs of every household or business." }, { "id": "inflation", "title": "Inflation", "group": "statistics", "definition": "The percentage change in a specified price index over a stated comparison period.", "caution": "State the index and year-on-year or month-on-month basis." }, { "id": "labor-force", "title": "Labor force", "group": "statistics", "definition": "In PSA's labor statistics, people aged 15 and over classified as employed or unemployed.", "caution": "Follow the official classification criteria rather than treating all adults as participants." }, { "id": "unemployment-rate", "title": "Unemployment rate", "group": "statistics", "definition": "Unemployed persons as a percentage of the labor force under the official definitions.", "caution": "Do not use the total population as the denominator." }, { "id": "underemployment-rate", "title": "Underemployment rate", "group": "statistics", "definition": "Underemployed persons as a percentage of employed persons under the official definitions.", "caution": "This uses a different denominator from unemployment." }, { "id": "national-coverage", "title": "National coverage", "group": "statistics", "definition": "An observation whose stated geographic scope is the country.", "caution": "It cannot establish a particular city's or store's conditions." }, { "id": "dashboard", "title": "Dashboard", "group": "data", "definition": "A presentation of selected indicators for a defined audience and decision.", "caution": "A polished chart does not replace source and calculation checks." }, { "id": "dimension", "title": "Dimension", "group": "modeling", "definition": "A descriptive entity used to group or filter observations, such as product or date.", "caution": "Confirm the relationship keys and intended grain." }, { "id": "fact-table", "title": "Fact table", "group": "modeling", "definition": "A table of events or observations with measures and related keys.", "caution": "Define the event or snapshot represented by each row." }, { "id": "star-schema", "title": "Star schema", "group": "modeling", "definition": "A model organized around fact tables linked to descriptive dimension tables.", "caution": "Relationship design and grain matter more than the diagram's appearance." }, { "id": "semantic-model", "title": "Semantic model", "group": "modeling", "definition": "A reusable representation of data relationships, measures and business meaning.", "caution": "Business definitions require ownership and versioning." }, { "id": "data-transformation", "title": "Data transformation", "group": "data", "definition": "A reproducible operation that changes data's structure or values.", "caution": "Preserve the original source and explain lossy changes." }, { "id": "refresh", "title": "Refresh", "group": "data", "definition": "Updating a dataset or report from its sources.", "caution": "A successful job does not prove all expected sources were available." }, { "id": "api", "title": "API", "group": "data", "definition": "A defined interface through which software requests or exchanges information.", "caution": "Access to an endpoint does not automatically grant redistribution rights." }, { "id": "csv", "title": "CSV", "group": "data", "definition": "A text format that represents records using delimited fields.", "caution": "Check encoding, quoting, types and spreadsheet formula handling when exporting." }, { "id": "data-dictionary", "title": "Data dictionary", "group": "data", "definition": "A reference explaining fields or terms and their intended meaning.", "caution": "Definitions should identify scope, units and known ambiguities." }, { "id": "access-control", "title": "Access control", "group": "operations", "definition": "Rules and enforcement determining who may read or change a resource.", "caution": "A hidden link is not an access control." }, { "id": "approval", "title": "Approval", "group": "operations", "definition": "An authorized person's decision for a defined action and scope.", "caution": "A text field saying approved is not authenticated approval evidence." }, { "id": "audit-trail", "title": "Audit trail", "group": "operations", "definition": "A record of relevant actions, actors, times and outcomes.", "caution": "Keep enough context to reconstruct the event without exposing unnecessary personal data." }, { "id": "idempotency", "title": "Idempotency", "group": "operations", "definition": "A property that lets a repeated request avoid duplicating its intended effect.", "caution": "Bind the key to a defined operation and record its result." }, { "id": "retention", "title": "Retention", "group": "operations", "definition": "The defined period and conditions for keeping information.", "caution": "Identify an owner and a deletion process; keeping everything is not a policy." }, { "id": "data-minimization", "title": "Data minimization", "group": "operations", "definition": "Limiting collected and retained information to what a defined purpose needs.", "caution": "Avoid customer or employee details in a public inquiry." }, { "id": "human-review", "title": "Human review", "group": "operations", "definition": "A person evaluates evidence and exceptions before a consequential decision.", "caution": "Give reviewers the source, uncertainty and authority to reject a proposal." }, { "id": "rollback", "title": "Rollback", "group": "operations", "definition": "Restoring a previously known working state after a release problem.", "caution": "Retain a distinct recoverable version and verify restoration." }, { "id": "availability", "title": "Availability", "group": "operations", "definition": "Whether a service is usable under its stated operating conditions.", "caution": "A running process alone does not prove successful end-to-end use." }, { "id": "service-level", "title": "Service level", "group": "operations", "definition": "An agreed measure of service behavior, such as response or recovery performance.", "caution": "State the measurement window and exclusions before claiming a guarantee." }, { "id": "unit-price", "title": "Unit price", "group": "retail", "definition": "Price expressed for a defined quantity, such as one kilogram.", "caution": "A unit conversion does not remove differences in brand, pack, eligibility or location." }, { "id": "pack-size", "title": "Pack size", "group": "retail", "definition": "The stated amount or count in an offered package.", "caution": "Compare the same size or explicitly normalize units and disclose differences." }, { "id": "promotion-validity", "title": "Promotion validity", "group": "retail", "definition": "The stated conditions and dates under which an advertised offer applies.", "caution": "A failed fetch or removed page does not prove that an offer expired." }, { "id": "eligibility", "title": "Eligibility", "group": "retail", "definition": "Conditions a shopper must meet to receive an offer.", "caution": "Membership and payment-method restrictions can make headline prices incomparable." }, { "id": "advertised-price", "title": "Advertised price", "group": "retail", "definition": "A price stated in an observed offer.", "caution": "It does not prove the price paid or that stock was available." }, { "id": "transaction-price", "title": "Transaction price", "group": "retail", "definition": "The amount actually paid under the transaction's recorded conditions.", "caution": "Taxes, delivery, rebates and returns can change the relevant comparison." }, { "id": "like-for-like-comparison", "title": "Like-for-like comparison", "group": "retail", "definition": "A comparison in which the important product, place, time and eligibility conditions match.", "caution": "Record exclusions instead of forcing unmatched offers into one ranking." } ], "search": [ { "id": "/data-intelligence/solutions/", "title": "Find the right starting point", "summary": "Search and compare 11 scoped offerings by business objective, industry and readiness. Read the required inputs and acceptance checks before preparing an inquiry.", "path": "/data-intelligence/solutions/", "category": "solutions" }, { "id": "/data-intelligence/solutions/discovery/", "title": "Discovery and delivery planning", "summary": "Start with a business question, a baseline and a decision owner. Agree what success means before selecting tools.", "path": "/data-intelligence/solutions/discovery/", "category": "solutions" }, { "id": "/data-intelligence/solutions/microsoft-foundations/", "title": "Microsoft platform foundations", "summary": "Agree source ownership, access, reporting architecture, capacity and recovery before connecting environments.", "path": "/data-intelligence/solutions/microsoft-foundations/", "category": "solutions" }, { "id": "/data-intelligence/solutions/workflow-automation/", "title": "AI and workflow automation", "summary": "Map the task, exceptions and human decisions; evaluate a bounded workflow using an authorized sample.", "path": "/data-intelligence/solutions/workflow-automation/", "category": "solutions" }, { "id": "/data-intelligence/objectives/", "title": "Start with the decision", "summary": "Explore 20 business questions and the related scopes, evidence and limits.", "path": "/data-intelligence/objectives/", "category": "objectives" }, { "id": "/data-intelligence/objectives/reconcile-reports/", "title": "Reconcile reports", "summary": "Which totals disagree, and which source should each decision use?", "path": "/data-intelligence/objectives/reconcile-reports/", "category": "objectives" }, { "id": "/data-intelligence/objectives/measure-campaigns/", "title": "Measure campaign results", "summary": "What outcomes were recorded for the spend, period and attribution window?", "path": "/data-intelligence/objectives/measure-campaigns/", "category": "objectives" }, { "id": "/data-intelligence/objectives/understand-prices/", "title": "Understand price context", "summary": "How do national price movements relate to the questions in your own purchasing report?", "path": "/data-intelligence/objectives/understand-prices/", "category": "objectives" }, { "id": "/data-intelligence/objectives/plan-workforce/", "title": "Put employment in context", "summary": "What can national labor indicators tell you alongside your own workforce evidence?", "path": "/data-intelligence/objectives/plan-workforce/", "category": "objectives" }, { "id": "/data-intelligence/objectives/compare-promotions/", "title": "Compare like-for-like offers", "summary": "Are product, pack, location, eligibility and validity aligned?", "path": "/data-intelligence/objectives/compare-promotions/", "category": "objectives" }, { "id": "/data-intelligence/objectives/improve-ai-discovery/", "title": "Understand AI answers", "summary": "Which fixed questions should a brand answer correctly, and with which citations?", "path": "/data-intelligence/objectives/improve-ai-discovery/", "category": "objectives" }, { "id": "/data-intelligence/objectives/review-invoices/", "title": "Reduce invoice review friction", "summary": "Which exceptions prevent an invoice from reaching a human approval decision?", "path": "/data-intelligence/objectives/review-invoices/", "category": "objectives" }, { "id": "/data-intelligence/objectives/review-orders/", "title": "Reduce order intake friction", "summary": "Which required order details are missing, ambiguous or inconsistent?", "path": "/data-intelligence/objectives/review-orders/", "category": "objectives" }, { "id": "/data-intelligence/objectives/automate-tasks/", "title": "Automate a bounded task", "summary": "Which repeated task has clear inputs, exception rules and an accountable owner?", "path": "/data-intelligence/objectives/automate-tasks/", "category": "objectives" }, { "id": "/data-intelligence/objectives/govern-data/", "title": "Define data ownership", "summary": "Who can authorize a source, a metric definition and a downstream use?", "path": "/data-intelligence/objectives/govern-data/", "category": "objectives" }, { "id": "/data-intelligence/objectives/improve-refresh/", "title": "Make refresh dependable", "summary": "What happens when a source is delayed, unavailable or revised?", "path": "/data-intelligence/objectives/improve-refresh/", "category": "objectives" }, { "id": "/data-intelligence/objectives/design-experiment/", "title": "Plan an experiment", "summary": "What intervention and comparison would test the business question?", "path": "/data-intelligence/objectives/design-experiment/", "category": "objectives" }, { "id": "/data-intelligence/objectives/understand-customers/", "title": "Scope customer research", "summary": "Which customer decision needs new evidence and whose experience is missing?", "path": "/data-intelligence/objectives/understand-customers/", "category": "objectives" }, { "id": "/data-intelligence/objectives/review-creative/", "title": "Frame a creative evaluation", "summary": "What audience response would make a creative decision more defensible?", "path": "/data-intelligence/objectives/review-creative/", "category": "objectives" }, { "id": "/data-intelligence/objectives/assess-competition/", "title": "Scope competitor intelligence", "summary": "Which comparisons can be supported by permitted, comparable evidence?", "path": "/data-intelligence/objectives/assess-competition/", "category": "objectives" }, { "id": "/data-intelligence/objectives/set-brand-kpis/", "title": "Define brand measures", "summary": "Which brand question needs tracking, with what audience and denominator?", "path": "/data-intelligence/objectives/set-brand-kpis/", "category": "objectives" }, { "id": "/data-intelligence/objectives/map-journey/", "title": "Map a customer journey", "summary": "Where do customers encounter friction, and which observations support that view?", "path": "/data-intelligence/objectives/map-journey/", "category": "objectives" }, { "id": "/data-intelligence/objectives/design-crm/", "title": "Scope CRM improvements", "summary": "Which permissioned customer workflow should improve, and who can authorize the action?", "path": "/data-intelligence/objectives/design-crm/", "category": "objectives" }, { "id": "/data-intelligence/objectives/build-literacy/", "title": "Build data literacy", "summary": "Can your team explain a rate, a period and a missing observation?", "path": "/data-intelligence/objectives/build-literacy/", "category": "objectives" }, { "id": "/data-intelligence/objectives/plan-delivery/", "title": "Agree delivery acceptance", "summary": "What input, artifact and observable check would prove the engagement worked?", "path": "/data-intelligence/objectives/plan-delivery/", "category": "objectives" }, { "id": "/data-intelligence/industries/", "title": "Start with your operating context", "summary": "Explore 16 industry contexts for Philippine teams. These are scoping paths, not claims of customer deployments or licensed sector datasets.", "path": "/data-intelligence/industries/", "category": "industries" }, { "id": "/data-intelligence/industries/retail/", "title": "Retail and grocery", "summary": "Stores, SKUs and promotion periods", "path": "/data-intelligence/industries/retail/", "category": "industries" }, { "id": "/data-intelligence/industries/consumer-goods/", "title": "Consumer goods", "summary": "Product mix, sell-in, sell-out and returns", "path": "/data-intelligence/industries/consumer-goods/", "category": "industries" }, { "id": "/data-intelligence/industries/ecommerce/", "title": "E-commerce", "summary": "Orders, returns, fees and attribution", "path": "/data-intelligence/industries/ecommerce/", "category": "industries" }, { "id": "/data-intelligence/industries/agencies/", "title": "Marketing and creative agencies", "summary": "Campaign taxonomy, creative versions and recorded outcomes", "path": "/data-intelligence/industries/agencies/", "category": "industries" }, { "id": "/data-intelligence/industries/media/", "title": "Media and entertainment", "summary": "Campaigns, content and licensed audience measures", "path": "/data-intelligence/industries/media/", "category": "industries" }, { "id": "/data-intelligence/industries/hospitality/", "title": "Hospitality and food service", "summary": "Locations, occupancy or covers, menus and costs", "path": "/data-intelligence/industries/hospitality/", "category": "industries" }, { "id": "/data-intelligence/industries/manufacturing/", "title": "Manufacturing", "summary": "Materials, purchasing, production and exceptions", "path": "/data-intelligence/industries/manufacturing/", "category": "industries" }, { "id": "/data-intelligence/industries/distribution/", "title": "Distribution and logistics", "summary": "Orders, delivery events and supplier invoices", "path": "/data-intelligence/industries/distribution/", "category": "industries" }, { "id": "/data-intelligence/industries/professional-services/", "title": "Professional services", "summary": "Projects, utilization and billing records", "path": "/data-intelligence/industries/professional-services/", "category": "industries" }, { "id": "/data-intelligence/industries/financial-services/", "title": "Financial services operations", "summary": "Authorized operational reports and controlled review queues", "path": "/data-intelligence/industries/financial-services/", "category": "industries" }, { "id": "/data-intelligence/industries/health-services/", "title": "Health services operations", "summary": "Administrative processes and aggregated reporting", "path": "/data-intelligence/industries/health-services/", "category": "industries" }, { "id": "/data-intelligence/industries/education/", "title": "Education and training", "summary": "Administrative workflows and learning measures", "path": "/data-intelligence/industries/education/", "category": "industries" }, { "id": "/data-intelligence/industries/telecommunications/", "title": "Telecommunications", "summary": "Products, service periods and customer workflows", "path": "/data-intelligence/industries/telecommunications/", "category": "industries" }, { "id": "/data-intelligence/industries/property/", "title": "Property and facilities", "summary": "Assets, suppliers and service requests", "path": "/data-intelligence/industries/property/", "category": "industries" }, { "id": "/data-intelligence/industries/automotive/", "title": "Automotive and mobility", "summary": "Products, locations, leads and service orders", "path": "/data-intelligence/industries/automotive/", "category": "industries" }, { "id": "/data-intelligence/industries/nonprofits/", "title": "Nonprofits and community organisations", "summary": "Programme outputs, restricted funds and participation", "path": "/data-intelligence/industries/nonprofits/", "category": "industries" }, { "id": "/data-intelligence/dictionary/", "title": "Explore the data dictionary", "summary": "114 original, plain-language definitions for business measurement, Philippine indicators, research and responsible data operations.", "path": "/data-intelligence/dictionary/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/attribution/", "title": "Attribution", "summary": "A rule or model for assigning recorded outcomes to marketing interactions.", "path": "/data-intelligence/dictionary/attribution/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/attribution-window/", "title": "Attribution window", "summary": "The interval in which an interaction can receive credit for an outcome.", "path": "/data-intelligence/dictionary/attribution-window/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/audience/", "title": "Audience", "summary": "The people or accounts included in a communication or measurement scope.", "path": "/data-intelligence/dictionary/audience/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/awareness/", "title": "Awareness", "summary": "Recognition or recall of a brand within a defined audience.", "path": "/data-intelligence/dictionary/awareness/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/brand-consideration/", "title": "Brand consideration", "summary": "Whether respondents include a brand among options they might choose.", "path": "/data-intelligence/dictionary/brand-consideration/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/brand-loyalty/", "title": "Brand loyalty", "summary": "A defined pattern of repeated preference or purchasing.", "path": "/data-intelligence/dictionary/brand-loyalty/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/brand-tracking/", "title": "Brand tracking", "summary": "Repeated measurement of agreed brand indicators.", "path": "/data-intelligence/dictionary/brand-tracking/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/campaign/", "title": "Campaign", "summary": "A bounded collection of marketing activity organized around a purpose.", "path": "/data-intelligence/dictionary/campaign/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/channel/", "title": "Channel", "summary": "A defined route through which communication reaches an audience.", "path": "/data-intelligence/dictionary/channel/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/click-through-rate/", "title": "Click-through rate", "summary": "Clicks divided by impressions, expressed as a percentage.", "path": "/data-intelligence/dictionary/click-through-rate/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/conversion/", "title": "Conversion", "summary": "A recorded action selected as an outcome, such as an inquiry or purchase.", "path": "/data-intelligence/dictionary/conversion/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/conversion-rate/", "title": "Conversion rate", "summary": "Conversions divided by an explicitly chosen eligible denominator.", "path": "/data-intelligence/dictionary/conversion-rate/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/cost-per-click/", "title": "Cost per click", "summary": "Ad spend divided by counted clicks.", "path": "/data-intelligence/dictionary/cost-per-click/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/cost-per-acquisition/", "title": "Cost per acquisition", "summary": "Included acquisition spend divided by recorded acquisitions.", "path": "/data-intelligence/dictionary/cost-per-acquisition/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/cost-per-lead/", "title": "Cost per lead", "summary": "Included spend divided by qualifying recorded leads.", "path": "/data-intelligence/dictionary/cost-per-lead/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/cost-per-thousand/", "title": "Cost per thousand", "summary": "Spend divided by impressions and multiplied by one thousand.", "path": "/data-intelligence/dictionary/cost-per-thousand/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/customer-acquisition-cost/", "title": "Customer acquisition cost", "summary": "A defined total of acquisition costs divided by new customers.", "path": "/data-intelligence/dictionary/customer-acquisition-cost/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/customer-journey/", "title": "Customer journey", "summary": "The sequence of touchpoints a customer experiences around a decision or service.", "path": "/data-intelligence/dictionary/customer-journey/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/customer-retention/", "title": "Customer retention", "summary": "Continued participation or purchasing by a defined customer cohort.", "path": "/data-intelligence/dictionary/customer-retention/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/churn-rate/", "title": "Churn rate", "summary": "Departures from a defined customer population over a stated period.", "path": "/data-intelligence/dictionary/churn-rate/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/engagement/", "title": "Engagement", "summary": "A defined interaction such as a click, comment or response.", "path": "/data-intelligence/dictionary/engagement/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/engagement-rate/", "title": "Engagement rate", "summary": "Counted engagement divided by a stated exposure or audience measure.", "path": "/data-intelligence/dictionary/engagement-rate/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/frequency/", "title": "Frequency", "summary": "The number of exposures attributed to an audience unit in a period.", "path": "/data-intelligence/dictionary/frequency/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/impressions/", "title": "Impressions", "summary": "The number of counted displays of a communication.", "path": "/data-intelligence/dictionary/impressions/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/reach/", "title": "Reach", "summary": "The deduplicated audience count under the measurement system's rules.", "path": "/data-intelligence/dictionary/reach/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/lead/", "title": "Lead", "summary": "A person or organization expressing an interest under a defined qualification rule.", "path": "/data-intelligence/dictionary/lead/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/media-mix/", "title": "Media mix", "summary": "The distribution of activity or spending across media channels.", "path": "/data-intelligence/dictionary/media-mix/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/paid-media/", "title": "Paid media", "summary": "Distribution purchased from a publisher, platform or media owner.", "path": "/data-intelligence/dictionary/paid-media/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/owned-media/", "title": "Owned media", "summary": "Communication surfaces an organization controls, such as its website.", "path": "/data-intelligence/dictionary/owned-media/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/earned-media/", "title": "Earned media", "summary": "Third-party attention not purchased as the specific placement.", "path": "/data-intelligence/dictionary/earned-media/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/return-on-ad-spend/", "title": "Return on ad spend", "summary": "Attributed revenue divided by ad spend.", "path": "/data-intelligence/dictionary/return-on-ad-spend/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/return-on-investment/", "title": "Return on investment", "summary": "A stated net return divided by the corresponding investment.", "path": "/data-intelligence/dictionary/return-on-investment/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/share-of-voice/", "title": "Share of voice", "summary": "A brand's measured presence divided by the defined category total.", "path": "/data-intelligence/dictionary/share-of-voice/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/share-of-spend/", "title": "Share of spend", "summary": "A brand's spending divided by spending in a defined comparison set.", "path": "/data-intelligence/dictionary/share-of-spend/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/sentiment/", "title": "Sentiment", "summary": "A classification of expressed tone or opinion in observed content.", "path": "/data-intelligence/dictionary/sentiment/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/social-listening/", "title": "Social listening", "summary": "Reviewing permitted social content for defined topics and signals.", "path": "/data-intelligence/dictionary/social-listening/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/search-visibility/", "title": "Search visibility", "summary": "How often or prominently a site appears within a defined search measurement.", "path": "/data-intelligence/dictionary/search-visibility/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/ai-answer-visibility/", "title": "AI answer visibility", "summary": "Observed brand mentions or citations in responses to a fixed set of AI questions.", "path": "/data-intelligence/dictionary/ai-answer-visibility/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/citation/", "title": "Citation", "summary": "A reference linking a claim to a source.", "path": "/data-intelligence/dictionary/citation/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/first-party-data/", "title": "First-party data", "summary": "Information an organization obtains through its own relationships or operations.", "path": "/data-intelligence/dictionary/first-party-data/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/data-source/", "title": "Data source", "summary": "The system, publication or observation from which a value originates.", "path": "/data-intelligence/dictionary/data-source/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/source-register/", "title": "Source register", "summary": "A maintained list of sources and their ownership, access and use constraints.", "path": "/data-intelligence/dictionary/source-register/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/provenance/", "title": "Provenance", "summary": "Recorded information about where data came from and how it was handled.", "path": "/data-intelligence/dictionary/provenance/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/lineage/", "title": "Lineage", "summary": "The sequence of transformations connecting source data to an output.", "path": "/data-intelligence/dictionary/lineage/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/schema/", "title": "Schema", "summary": "The defined structure and types of a dataset.", "path": "/data-intelligence/dictionary/schema/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/record/", "title": "Record", "summary": "One structured item in a dataset.", "path": "/data-intelligence/dictionary/record/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/grain/", "title": "Grain", "summary": "The business meaning of one row, such as one product per month.", "path": "/data-intelligence/dictionary/grain/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/key/", "title": "Key", "summary": "A field or group of fields used to identify or relate records.", "path": "/data-intelligence/dictionary/key/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/join/", "title": "Join", "summary": "Combining records using a specified matching condition.", "path": "/data-intelligence/dictionary/join/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/duplicate/", "title": "Duplicate", "summary": "A record considered repeated under an explicit identity rule.", "path": "/data-intelligence/dictionary/duplicate/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/missing-value/", "title": "Missing value", "summary": "An absent or unknown observation.", "path": "/data-intelligence/dictionary/missing-value/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/zero/", "title": "Zero", "summary": "An observed numeric value of none in the stated unit.", "path": "/data-intelligence/dictionary/zero/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/outlier/", "title": "Outlier", "summary": "An observation unusual relative to a defined comparison.", "path": "/data-intelligence/dictionary/outlier/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/data-quality/", "title": "Data quality", "summary": "How well data meets the needs of a particular use.", "path": "/data-intelligence/dictionary/data-quality/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/completeness/", "title": "Completeness", "summary": "Presence of required records or values within a defined expected set.", "path": "/data-intelligence/dictionary/completeness/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/reconciliation/", "title": "Reconciliation", "summary": "Comparing outputs with authoritative totals and explaining differences.", "path": "/data-intelligence/dictionary/reconciliation/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/metric-contract/", "title": "Metric contract", "summary": "An agreed definition of a metric, including inputs, formula, unit and exclusions.", "path": "/data-intelligence/dictionary/metric-contract/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/denominator/", "title": "Denominator", "summary": "The quantity dividing the numerator in a ratio.", "path": "/data-intelligence/dictionary/denominator/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/numerator/", "title": "Numerator", "summary": "The counted or measured quantity above the division line in a ratio.", "path": "/data-intelligence/dictionary/numerator/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/percentage-point/", "title": "Percentage point", "summary": "The arithmetic difference between two percentages.", "path": "/data-intelligence/dictionary/percentage-point/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/weighted-average/", "title": "Weighted average", "summary": "An average in which observations contribute according to specified weights.", "path": "/data-intelligence/dictionary/weighted-average/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/baseline/", "title": "Baseline", "summary": "The reference observation or condition used for comparison.", "path": "/data-intelligence/dictionary/baseline/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/cohort/", "title": "Cohort", "summary": "A group defined by shared eligibility or starting conditions.", "path": "/data-intelligence/dictionary/cohort/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/sample/", "title": "Sample", "summary": "The selected observations used to learn about a wider population.", "path": "/data-intelligence/dictionary/sample/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/population/", "title": "Population", "summary": "The full set of units to which a question or result refers.", "path": "/data-intelligence/dictionary/population/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/selection-bias/", "title": "Selection bias", "summary": "A distortion arising from how observations enter a sample.", "path": "/data-intelligence/dictionary/selection-bias/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/survey/", "title": "Survey", "summary": "A structured process for collecting responses to defined questions.", "path": "/data-intelligence/dictionary/survey/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/interview/", "title": "Interview", "summary": "A guided conversation used to learn from a participant's account.", "path": "/data-intelligence/dictionary/interview/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/hypothesis/", "title": "Hypothesis", "summary": "A proposition that can be assessed using an explicit method and evidence.", "path": "/data-intelligence/dictionary/hypothesis/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/experiment/", "title": "Experiment", "summary": "A study that deliberately changes a condition and compares outcomes.", "path": "/data-intelligence/dictionary/experiment/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/control-group/", "title": "Control group", "summary": "A comparison group used to assess an intervention.", "path": "/data-intelligence/dictionary/control-group/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/correlation/", "title": "Correlation", "summary": "A measured association between variables.", "path": "/data-intelligence/dictionary/correlation/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/causality/", "title": "Causality", "summary": "A relationship in which changing one condition changes an outcome.", "path": "/data-intelligence/dictionary/causality/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/uncertainty/", "title": "Uncertainty", "summary": "The limitations on how precisely or confidently an observation supports a conclusion.", "path": "/data-intelligence/dictionary/uncertainty/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/forecast/", "title": "Forecast", "summary": "A model-based statement about a future outcome.", "path": "/data-intelligence/dictionary/forecast/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/observation-period/", "title": "Observation period", "summary": "The time interval a published value describes.", "path": "/data-intelligence/dictionary/observation-period/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/retrieval-time/", "title": "Retrieval time", "summary": "The timestamp at which a system obtained a source response.", "path": "/data-intelligence/dictionary/retrieval-time/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/source-update/", "title": "Source update", "summary": "The update timestamp supplied by the publisher.", "path": "/data-intelligence/dictionary/source-update/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/freshness/", "title": "Freshness", "summary": "Whether a value meets a specified age or retrieval policy.", "path": "/data-intelligence/dictionary/freshness/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/cached-data/", "title": "Cached data", "summary": "A stored response reused instead of a new successful retrieval.", "path": "/data-intelligence/dictionary/cached-data/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/revision/", "title": "Revision", "summary": "A publisher's change to an earlier observation or estimate.", "path": "/data-intelligence/dictionary/revision/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/consumer-price-index/", "title": "Consumer price index", "summary": "An index tracking prices for a defined consumer basket under an official method.", "path": "/data-intelligence/dictionary/consumer-price-index/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/inflation/", "title": "Inflation", "summary": "The percentage change in a specified price index over a stated comparison period.", "path": "/data-intelligence/dictionary/inflation/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/labor-force/", "title": "Labor force", "summary": "In PSA's labor statistics, people aged 15 and over classified as employed or unemployed.", "path": "/data-intelligence/dictionary/labor-force/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/unemployment-rate/", "title": "Unemployment rate", "summary": "Unemployed persons as a percentage of the labor force under the official definitions.", "path": "/data-intelligence/dictionary/unemployment-rate/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/underemployment-rate/", "title": "Underemployment rate", "summary": "Underemployed persons as a percentage of employed persons under the official definitions.", "path": "/data-intelligence/dictionary/underemployment-rate/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/national-coverage/", "title": "National coverage", "summary": "An observation whose stated geographic scope is the country.", "path": "/data-intelligence/dictionary/national-coverage/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/dashboard/", "title": "Dashboard", "summary": "A presentation of selected indicators for a defined audience and decision.", "path": "/data-intelligence/dictionary/dashboard/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/dimension/", "title": "Dimension", "summary": "A descriptive entity used to group or filter observations, such as product or date.", "path": "/data-intelligence/dictionary/dimension/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/fact-table/", "title": "Fact table", "summary": "A table of events or observations with measures and related keys.", "path": "/data-intelligence/dictionary/fact-table/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/star-schema/", "title": "Star schema", "summary": "A model organized around fact tables linked to descriptive dimension tables.", "path": "/data-intelligence/dictionary/star-schema/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/semantic-model/", "title": "Semantic model", "summary": "A reusable representation of data relationships, measures and business meaning.", "path": "/data-intelligence/dictionary/semantic-model/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/data-transformation/", "title": "Data transformation", "summary": "A reproducible operation that changes data's structure or values.", "path": "/data-intelligence/dictionary/data-transformation/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/refresh/", "title": "Refresh", "summary": "Updating a dataset or report from its sources.", "path": "/data-intelligence/dictionary/refresh/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/api/", "title": "API", "summary": "A defined interface through which software requests or exchanges information.", "path": "/data-intelligence/dictionary/api/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/csv/", "title": "CSV", "summary": "A text format that represents records using delimited fields.", "path": "/data-intelligence/dictionary/csv/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/data-dictionary/", "title": "Data dictionary", "summary": "A reference explaining fields or terms and their intended meaning.", "path": "/data-intelligence/dictionary/data-dictionary/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/access-control/", "title": "Access control", "summary": "Rules and enforcement determining who may read or change a resource.", "path": "/data-intelligence/dictionary/access-control/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/approval/", "title": "Approval", "summary": "An authorized person's decision for a defined action and scope.", "path": "/data-intelligence/dictionary/approval/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/audit-trail/", "title": "Audit trail", "summary": "A record of relevant actions, actors, times and outcomes.", "path": "/data-intelligence/dictionary/audit-trail/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/idempotency/", "title": "Idempotency", "summary": "A property that lets a repeated request avoid duplicating its intended effect.", "path": "/data-intelligence/dictionary/idempotency/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/retention/", "title": "Retention", "summary": "The defined period and conditions for keeping information.", "path": "/data-intelligence/dictionary/retention/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/data-minimization/", "title": "Data minimization", "summary": "Limiting collected and retained information to what a defined purpose needs.", "path": "/data-intelligence/dictionary/data-minimization/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/human-review/", "title": "Human review", "summary": "A person evaluates evidence and exceptions before a consequential decision.", "path": "/data-intelligence/dictionary/human-review/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/rollback/", "title": "Rollback", "summary": "Restoring a previously known working state after a release problem.", "path": "/data-intelligence/dictionary/rollback/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/availability/", "title": "Availability", "summary": "Whether a service is usable under its stated operating conditions.", "path": "/data-intelligence/dictionary/availability/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/service-level/", "title": "Service level", "summary": "An agreed measure of service behavior, such as response or recovery performance.", "path": "/data-intelligence/dictionary/service-level/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/unit-price/", "title": "Unit price", "summary": "Price expressed for a defined quantity, such as one kilogram.", "path": "/data-intelligence/dictionary/unit-price/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/pack-size/", "title": "Pack size", "summary": "The stated amount or count in an offered package.", "path": "/data-intelligence/dictionary/pack-size/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/promotion-validity/", "title": "Promotion validity", "summary": "The stated conditions and dates under which an advertised offer applies.", "path": "/data-intelligence/dictionary/promotion-validity/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/eligibility/", "title": "Eligibility", "summary": "Conditions a shopper must meet to receive an offer.", "path": "/data-intelligence/dictionary/eligibility/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/advertised-price/", "title": "Advertised price", "summary": "A price stated in an observed offer.", "path": "/data-intelligence/dictionary/advertised-price/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/transaction-price/", "title": "Transaction price", "summary": "The amount actually paid under the transaction's recorded conditions.", "path": "/data-intelligence/dictionary/transaction-price/", "category": "dictionary" }, { "id": "/data-intelligence/dictionary/like-for-like-comparison/", "title": "Like-for-like comparison", "summary": "A comparison in which the important product, place, time and eligibility conditions match.", "path": "/data-intelligence/dictionary/like-for-like-comparison/", "category": "dictionary" }, { "id": "/data-intelligence/methods/", "title": "Evidence you can inspect", "summary": "Understand how sources, dates, definitions and readiness shape the public Data Intelligence PH experience.", "path": "/data-intelligence/methods/", "category": "methods" }, { "id": "/data-intelligence/learning/", "title": "Practice better measurement", "summary": "Self-guided exercises for reading rates, comparing evidence and preparing a reporting brief. No enrollment, personal data or paid certification is involved.", "path": "/data-intelligence/learning/", "category": "learning" }, { "id": "brief-prices", "title": "Prices and purchasing", "summary": "A dated Philippine price context and questions for a reconciled margin report.", "path": "/data-intelligence/briefs/#prices", "category": "briefs" }, { "id": "brief-work", "title": "Employment and planning", "summary": "Use employment definitions and distinct denominators without inferring local skills from a national rate.", "path": "/data-intelligence/briefs/#work", "category": "briefs" }, { "id": "brief-promotions", "title": "Comparable promotions", "summary": "A fictional example showing why pack, location, eligibility and validity matter.", "path": "/data-intelligence/briefs/#promotions", "category": "briefs" }, { "id": "offering-reporting", "title": "Reports and data foundations", "summary": "Bring source totals, periods and metric definitions together so teams can explain differences.", "path": "/data-intelligence/reporting-measurement/", "category": "solutions" }, { "id": "offering-invoice-intake", "title": "Supplier invoice intake", "summary": "Turn authorized invoice samples into a scoped review workflow. Exceptions and approvals remain visible.", "path": "/invoice-automation-dynamics-365/", "category": "solutions" }, { "id": "offering-market-pulse", "title": "Market Pulse PH", "summary": "Explore four official national price and employment series with periods, sources and reusable CSV snapshots.", "path": "/data-intelligence/market-pulse/", "category": "solutions" }, { "id": "offering-promo-monitor", "title": "Promo Monitor PH", "summary": "A planned pilot for like-for-like offers with source dates, pack sizes, locations and eligibility. Fictional walkthrough available.", "path": "/data-intelligence/promo-monitor/", "category": "solutions" }, { "id": "offering-ai-visibility", "title": "AI Visibility PH", "summary": "A planned evaluation of mentions, citations and factual accuracy across a defined set of AI questions and providers.", "path": "/data-intelligence/ai-visibility/", "category": "solutions" }, { "id": "offering-community", "title": "Community learning programme", "summary": "A proposed community programme for checking sources, privacy and responsible participation; no contributions are accepted.", "path": "/data-intelligence/community/", "category": "solutions" } ] }