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Blueprint Import and Export lets you package an entire dataset configuration — KPIs, dimensions, time settings, anomaly detection — into a portable JSON file and reuse it across any workspace or dataset.

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What the Blueprint contains

KPI Definitions

Every metric you have configured, including SQL expressions and aggregation logic.

Dimension Assignments

The slicing attributes mapped to each KPI for contributor analysis and story generation.

Processing Preferences

Schedule, granularity, thresholds, and anomaly detection group assignments.

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How to export a Blueprint

1

Open Datasets and sort by Last updated

Navigate to Datasets from the left sidebar, then click the Last updated column header to sort your list by most recently modified. This brings your latest configured dataset to the top without having to scroll.
Clicking the Last updated column header in the Datasets list to sort by most recently modified
2

Open the dataset you want to export

Select your target dataset from the sidebar — for example, Retail Analytics. The dataset’s detail panel opens, showing the full configuration including KPIs, dimensions, and processing settings.
Selecting the Retail Analytics dataset from the sidebar to open its detail panel
3

Click Export as JSON to download the Blueprint

In the detail panel, click Export as JSON. Your complete dataset configuration — KPIs, dimensions, time settings, and anomaly detection setup — downloads as a single portable Blueprint file, ready to import into any other workspace.
Clicking Export as JSON in the dataset detail panel to download the Blueprint configuration file

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How to import a Blueprint

1

Navigate to the target dataset

Go to the Datasets screen and open the dataset you want to configure with an existing Blueprint — either for re-onboarding or to replicate a setup from another workspace.
2

Click Import Blueprint (JSON) and upload your file

At the bottom of the sidebar, click Import Blueprint (JSON) and upload your saved Blueprint file. DataGenie reads the file and maps every configuration entry — KPIs, dimensions, thresholds — to the target dataset.
3

Review and confirm the imported configuration

DataGenie populates and validates the entire setup, highlighting any fields that need review. Check each section in the Blueprint sidebar, then confirm to activate the imported configuration.
Your data logic is now as mobile as you are. Once a Blueprint is exported, it can be imported into any dataset in any workspace, instantly replicating your full configuration with zero manual rework.
After importing, always review the Blueprint sidebar to confirm the populated configuration matches your expectations before activating the dataset.

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What’s next

GO Overview

Back to the full GO onboarding overview.

Complete Workflow

See the end-to-end GO process that produces the Blueprint.

Datasets

Configure and manage your datasets after importing a Blueprint.