Knowledge Center

Cognitive Skills

Pre-configured analytical patterns Wisdom can execute on demand — forecasting, change analysis, segment comparisons, and more.

Cognitive Skills (also called Wisdom Skills) are packaged, reusable analytical pipelines defined in plain language. Instead of re-describing a complex analysis each time, a Skill encodes the logic once — and Wisdom runs it on the right KPI and period whenever you invoke it, with arguments. Same inputs → same outputs, every time.

When you repeatedly ask Wisdom the same multi-stage question, convert it to a Skill. A Skill is just a packaged Wisdom question — invocable by anyone, reusable, with arguments.


How to use Cognitive Skills

Close the Wisdom dialog

If the Ask Wisdom, know everything! dialog is open, close it to return to the main interface. You need the main view to navigate to the Knowledge Center where Cognitive Skills live.

Closing the Wisdom dialog to return to the main DataGenie interface

Go to Knowledge Center and select Cognitive Skills

Navigate to the Knowledge Center from the sidebar, then click Cognitive Skills in the left panel. This filters the view to show only Cognitive Skills posts — the pre-built analytical patterns available for your dataset.

Navigating to the Knowledge Center and clicking Cognitive Skills in the left panel

Open a recent Cognitive Skills report

Find a recent post — for example, one marked "5h ago" — and click it to open the full report. Each post is a Cognitive Skill result generated for your dataset on the configured schedule.

Clicking a recent Cognitive Skills post to open its full report

Review the Engagement Report

The report opens with detailed metrics, structured lists, and a comprehensive overview of recent activity. This is the Skill's output — a fully rendered analytical report grounded in your dataset's deterministic pipeline.

Full Engagement Report showing structured metrics, lists, and an analytical overview

Scroll to the data table

Scroll down to reach the numerical data table. This section breaks down the numbers behind the report — the same underlying data used to generate the narrative above it. Use it to validate specific figures or drill into individual rows.

Scrolling to the data table section showing the numerical breakdown behind the report

Continue scrolling to the Summary section at the bottom — it highlights the key findings and main takeaways from the report in plain language, useful for quick sharing with stakeholders who don't need the full data table.


How to explore and run a Skill

Open the Knowledge Center and select a dataset

Click the Knowledge Center icon to open the hub, then select a dataset to browse its analytics content and available Skills.

Opening the Knowledge Center and selecting a dataset to browse its content

Click an article card to read it

Click any article card to expand and read its contents.

Clicking an article card to expand and read its contents

Select a Skill to view its details

In the left panel, select a Skill under Skills to see what analysis it runs and what it returns by default.

Selecting a Skill in the left panel to view its details and default outputs

Open Ask Wisdom and enter your query

Navigate to Wisdom, open the Ask Wisdom dialog, and type your question — invoking the Skill by name or describing the analysis you want.

Opening Ask Wisdom and entering an analytics query to invoke a Skill

Review the structured answer

Wisdom returns a structured response with headers, key data points, and an analytical summary. Every figure is grounded in your dataset.

Wisdom returning a structured answer with headers and key data points

Click Visualization to view the chart

Click the Visualization label to switch to a bar chart view and analyse trends and outliers visually.

Clicking Visualization to switch to the bar chart view for trend analysis


Built-in skills

Forecasting

Projects a KPI forward based on historical trend and seasonality. Invoke by asking "What will Revenue look like next month?"

Change Analysis

Explains why a KPI changed by pulling contributor rankings and attribution data. Invoke by asking "Why did Add to Bag Count drop last week?"

Segment Comparison

Compares the same KPI across two or more dimension values. Invoke by asking "Compare Revenue in UK vs US for last 30 days."

Anomaly Explanation

Identifies the anomaly, explains the deviation from baseline, and surfaces the dimension values most responsible.

Cognitive Skills use the same deterministic services that power Top Stories, Explorer, and Datasets — Metric Service, Insights Service, Contribution Analysis, Forecasting, Scenario Planning. No LLM invents numbers.


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