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Documentation Index

Fetch the complete documentation index at: https://docs.datagenie.ai/llms.txt

Use this file to discover all available pages before exploring further.

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What GO is

GO — Guided Onboarding — lets you onboard a dataset in natural language. Describe the business problem in plain English; GO returns KPIs, dimensions, SQL, transformations, and a ready-to-run Blueprint. It is not a rigid setup wizard — it is a conversational layer where you and DataGenie’s agents collaborate, iteratively and async. GO is what makes DataGenie’s autonomous monitoring accessible without a data engineering team. The moment the Blueprint is applied, DataGenie starts tracking hundreds of thousands of metric combinations.

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When to use GO

  • You are onboarding a new dataset and want to skip manual KPI/dimension configuration
  • You want consistency across metrics, dimensions, and time settings
  • You want to capture business context (from dashboards, spec docs) in a structured way
  • You want autonomous insights running from day one, not after a setup project

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What you get

Blueprint

A complete, reusable configuration — KPIs, dimensions, time anchor, granularity, SQL transforms. Your dataset’s operational DNA.

KPI ↔ field mapping

A validated mapping between your business terms and the dataset fields, confirmed at every step.

Time granularity selection

GO picks the lowest meaningful granularity per KPI — hourly for SLAs, weekly for marketing trends, monthly for fiscal reporting.

Autonomous monitoring from day 1

Once the Blueprint is uploaded, DataGenie immediately begins tracking 100,000s of metric combinations.

Portable configuration

Export/import Blueprints across workspaces for similar datasets.

Iterative & async

Move through steps in any order. Nothing is locked until you finalize.

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What GO needs

Sample dataset (required)

A representative sample (~100 rows matching final schema). GO maps fields, sample values, and intended descriptions.

Dashboard context (optional)

Screenshots from Tableau, Power BI, Excel — GO uses these to suggest KPIs and dimensions that match how your business already tracks performance.

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How it works

Upload a sample

GO scans the sample, maps fields along with sample values, and asks clarifying questions (e.g., currency of financial fields).

Add dashboard context (optional)

Upload existing dashboard snapshots. GO suggests KPIs and dimensions that match your business’s tracking model.

Collaborate iteratively

GO agents suggest KPIs, dimensions, time granularity. You refine (“also track by car model/make”, “bucket downpayments into meaningful ranges”). GO shows example Top Stories you’d receive post-onboarding.

Confirm at every step

Nothing advances without your approval. Every suggestion is reviewable.

Generate the Blueprint

GO produces the Blueprint — the source of truth for your new dataset. Review it from the Blueprint icon in the GO interface.

Apply and go autonomous

Upload the finalized Blueprint. DataGenie starts monitoring hundreds of thousands of metric combinations instantly.

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Tips

Start simple. Provide one representative sample and the primary KPIs your team cares about. You can expand and refine after the first successful onboarding.
GO is asynchronous — jump back and refine any step until it’s perfect. Nothing is locked until the Blueprint is uploaded.

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What’s next

Complete workflow

Deep-dive into every GO step — data transformation through Blueprint finalization.

Import / Export

Reuse Blueprints across workspaces and datasets.

Top Stories

See what autonomous monitoring surfaces after onboarding.

Datasets

Fine-tune KPIs, dimensions, and detection post-onboarding.

Autonomous Insights

The detection model GO unlocks.

Core concepts

Refresh on KPIs, dimensions, contributors.