# DataGenie

## Docs

- [CLAUDE](https://docs.datagenie.ai/CLAUDE.md)
- [What's new](https://docs.datagenie.ai/changelog/latest-release.md): Every DataGenie release, in reverse chronological order. Connected anomaly detection gets sharper, multi-source HyperConnected insights go deeper, and Responsible AI guardrails stay firm.
- [Dashboards](https://docs.datagenie.ai/features/dashboards/overview.md): Conversational dashboards — pin any Wisdom answer or Story chart; set one as Quick Look.
- [QuickLooks](https://docs.datagenie.ai/features/dashboards/quicklook.md): Instant pulse on your business health — interactive metric snapshots pinned directly to your Home Screen.
- [Anomaly Detection & Multi Yhat](https://docs.datagenie.ai/features/datasets/anomaly-detection.md): Evaluate the same KPI using multiple anomaly detection logics instead of a single fixed prediction.
- [Datasets](https://docs.datagenie.ai/features/datasets/overview.md): Onboarded data sources with KPIs, dimensions, and domain knowledge that power every downstream feature.
- [Correlation Matrix](https://docs.datagenie.ai/features/explorer/correlation-matrix.md): Visualize statistical relationships between KPIs — understand which metrics move together and which are structurally independent.
- [Data Playground](https://docs.datagenie.ai/features/explorer/data-playground.md): Freeform KPI and dimension exploration. Compare timeseries, filter by dimension, and toggle chart/table views — without a predefined story or breakdown.
- [Dimensional Analysis — Top N & Bottom N](https://docs.datagenie.ai/features/explorer/dimensional-analysis.md): Rank dimension values by their contribution to a KPI — identify the highest-impact and lowest-performing segments at a glance.
- [Explorer](https://docs.datagenie.ai/features/explorer/overview.md): Interactive, multi-dimensional exploration of any KPI across time, segments, and contributors.
- [Complete Workflow](https://docs.datagenie.ai/features/go/complete-workflow.md): From data transformation to Blueprint generation — a full end-to-end walkthrough of the GO onboarding process.
- [Import and Export](https://docs.datagenie.ai/features/go/import-export.md): Package your entire dataset configuration into a portable Blueprint and reuse it across any workspace or dataset.
- [GO — Guided Onboarding](https://docs.datagenie.ai/features/go/overview.md): Onboard a dataset in natural language. Describe the business problem; GO returns KPIs, dimensions, SQL, and a ready-to-run blueprint.
- [Roles & Permissions](https://docs.datagenie.ai/features/rbac/roles-permissions.md): Role-based access control over datasets, dashboards, and features — granular governance across your entire DataGenie workspace.
- [User Addition & SSO](https://docs.datagenie.ai/features/rbac/user-addition.md): Add users to DataGenie via SSO or manually — and ensure secure access from the very first login.
- [Alerts Configuration](https://docs.datagenie.ai/features/top-stories/alerts-configuration.md): Stay informed about important shifts with scheduled updates tied to your datasets and key metrics.
- [Filter Presets](https://docs.datagenie.ai/features/top-stories/filter-preset.md): Define the search space, anomaly thresholds, and prioritization rules to control which Top Stories are generated and surfaced.
- [KPI Attribution](https://docs.datagenie.ai/features/top-stories/kpi-attribution.md): Understand which KPIs, contributors, opposers, and side effects are behind a Top Story movement.
- [Top Stories](https://docs.datagenie.ai/features/top-stories/overview.md): Connected anomaly narratives — When, Where, What, What Else, Why — ranked by business impact. No queries required.
- [Trend Analysis & Contributors](https://docs.datagenie.ai/features/top-stories/trend-analysis.md): View contributor timeseries, compare periods, and understand the historical context behind a metric movement.
- [Business Events](https://docs.datagenie.ai/features/wisdom/business-events.md): Annotate KPI timeseries with real-world events — campaigns, product launches, outages — so Wisdom interprets movements in context.
- [Cognitive Skills](https://docs.datagenie.ai/features/wisdom/cognitive-skills.md): Pre-configured analytical patterns Wisdom can execute on demand — forecasting, change analysis, segment comparisons, and more.
- [Conversational Dashboards](https://docs.datagenie.ai/features/wisdom/conversational-dashboards.md): Build and interact with dashboards through natural language — and pin any dashboard as a QuickLook on your Home Screen.
- [Domain Knowledge Center](https://docs.datagenie.ai/features/wisdom/domain-knowledge.md): Teach Wisdom about your business — metric definitions, rules, and domain-specific context that make answers more accurate.
- [Wisdom](https://docs.datagenie.ai/features/wisdom/overview.md): The agentic analytics assistant — ask complex, multi-stage questions in plain English; Wisdom plans, executes, explains. Far more than text-to-SQL.
- [Autonomous Insights](https://docs.datagenie.ai/foundations/autonomous-insights.md): How DataGenie automatically tracks hundreds of thousands of metric combinations and surfaces connected, root-caused stories — without you configuring a thing.
- [HyperConnected Insights](https://docs.datagenie.ai/foundations/hyperconnected.md): Connect insights across multiple data sources without building a single ETL job. DataGenie's Nirvana algorithm virtually joins your data at the aggregate level — deterministically, efficiently, and without double-counting.
- [Responsible AI](https://docs.datagenie.ai/foundations/responsible-ai.md): DataGenie combines deterministic analytics with carefully scoped LLM use. No raw data ever reaches a language model, no algorithm hallucinates an answer, and every insight is traceable to the data that produced it.
- [Core Concepts](https://docs.datagenie.ai/getting-started/core-concepts.md): Learn the key terms DataGenie uses to describe your data, detect changes, and explain what drove them.
- [Glossary](https://docs.datagenie.ai/getting-started/glossary.md): Quick definitions for the terms you'll see across DataGenie — from KPIs and dimensions to Nirvana, Wisdom Skills, and Multi Yhat.
- [Getting Started](https://docs.datagenie.ai/getting-started/quickstart.md): Go from a raw dataset to your first insight in minutes using GO onboarding, Top Stories, and Wisdom.
- [How DataGenie works](https://docs.datagenie.ai/how-datagenie-works.md): The mechanics — how DataGenie turns a data sample into autonomous monitoring, how it detects anomalies, how it connects stories across sources, and how humans stay in control.
- [DataGenie Documentation](https://docs.datagenie.ai/index.md): Everything you need to get started with DataGenie — the autonomous analytics platform that surfaces answers you didn't know to ask, before you ask them.
- [Security & Trust](https://docs.datagenie.ai/security/overview.md): How DataGenie protects your data, your users, and your business rules — by design, not by policy.
- [Customer churn risk](https://docs.datagenie.ai/use-cases/customer-churn-risk.md): Early-warning signals for cohort-level churn before it hits renewals.
- [Use cases](https://docs.datagenie.ai/use-cases/overview.md): Concrete playbooks showing how teams use DataGenie's autonomous insights to detect, explain, and act on the changes that actually move the business.
- [Pricing & margin leakage](https://docs.datagenie.ai/use-cases/pricing-leakage.md): Catch margin erosion across customers, products, and regions as it happens — not at quarter-end.
- [Product adoption](https://docs.datagenie.ai/use-cases/product-adoption.md): Track feature adoption, funnel drop-offs, and cohort activation in real time — across every segment of your user base.
- [Revenue analytics](https://docs.datagenie.ai/use-cases/revenue-analytics.md): Detect revenue drops that hide behind stable volume — before month-end.
- [SLA & support risk](https://docs.datagenie.ai/use-cases/sla-risk.md): Support backlog, SLA breaches, and ticket-volume anomalies — caught early, across every segment.