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GO — Guided Onboarding — lets you onboard a dataset in natural language. Describe the business problem, upload a sample, and GO returns KPIs, dimensions, SQL, transformations, and a ready-to-run Blueprint — with no data engineering required.

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.

How to use GO

1

Upload your sample dataset

Click Upload Sample and select a representative file from your dataset — around 100 rows is enough. GO uses this file to learn your data structure: field names, sample values, and the shape of your data. Everything GO suggests about KPIs, dimensions, and transformations is grounded in what it finds here.
Uploading a sample dataset file in the GO interface
2

Review GO's field mapping and auto-generated descriptions

Once the file is uploaded, GO scans every column and automatically suggests field descriptions based on what it detects. You’ll see each field listed with its sample values and a proposed description — this is GO’s first pass at understanding your data’s vocabulary. Review these to make sure GO has the right baseline before it starts recommending metrics.
GO scanning the uploaded file and displaying field mappings with sample values and suggested descriptions
3

Clarify column details and answer follow-up questions

GO pauses to ask clarifying questions about specific fields — for example, confirming the currency for a revenue column or the unit for a numeric field. Type your answers directly in the chat. These clarifications feed directly into GO’s KPI and dimension suggestions, so accurate answers here mean more relevant recommendations downstream.
GO asking follow-up questions about column details in the chat interface, with a currency confirmation prompt
4

Confirm your data setup before continuing

Before moving to the next phase, GO presents a summary of everything it has learned so far and asks for your confirmation. Review the proposed field mappings and column details, then click Confirm to proceed. Nothing advances without your explicit approval — GO never moves forward automatically.
GO presenting a confirmation prompt summarizing the field mappings and awaiting user approval before continuing
5

Upload dashboard snapshots for KPI and dimension suggestions

Upload screenshots of your existing dashboards — from Tableau, Power BI, Excel, or anywhere your team currently tracks performance. GO reads these visuals to suggest KPIs and dimensions that align with how your business already measures success. This step is optional but significantly improves the relevance of GO’s recommendations.
Uploading a dashboard screenshot in GO to provide additional KPI and dimension context
6

Review GO's summary and confirm to activate monitoring

GO presents its complete summary — KPIs, dimensions, time settings, and data transformations — and waits for your final confirmation before activating DataGenie’s analytics features. Review each section carefully, then confirm to proceed. Once confirmed, DataGenie immediately begins tracking your metrics across hundreds of thousands of combinations.
GO displaying a full onboarding summary with KPIs, dimensions, and settings, ready for final user confirmation

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.

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.