Every number Wisdom produces comes from a deterministic service — not from a language model. Your raw data never reaches an LLM. See Responsible AI.
How to use Wisdom
Select your dataset
From the DataGenie home screen, click on the dataset you want to analyze. Wisdom’s answers are grounded in that dataset’s KPIs, dimensions, and domain knowledge — selecting the right one ensures your questions are answered within the correct business context.

Enter your business question
Click into the natural language input field and type your question in plain English — for example, “Show me sales by region for the last quarter” or “What caused the drop in Revenue yesterday?” Press Enter to submit. You don’t need to know SQL or exact column names; Wisdom interprets conversational phrasing.

Watch Wisdom process your query
Wisdom’s master coordinator agent breaks down your question, identifies the relevant KPIs and dimensions, and sequences the appropriate analytical services. The processing view shows exactly which measures and columns are being used — giving you full transparency into how the answer is being built before it appears.

Review the business summary
Wisdom returns a plain-English summary alongside charts and tables, using your organization’s terminology. The summary interprets the data in context — not just raw numbers — so you immediately understand what changed, by how much, and in which segment.

Ask follow-up or multi-part questions
Type a follow-up question in the same session — Wisdom retains context from earlier in the conversation and builds on previous answers. For compound questions (e.g., “Show revenue trend and compare to last year”), Wisdom runs multiple analytical services in sequence and combines them into a single unified report.

View drivers and explanations
Wisdom surfaces the drivers behind the pattern — which dimensions contributed most, how trends evolved, and what the data suggests. Every explanation comes from a deterministic service; no LLM-generated speculation, and your raw data never leaves your environment.

Drill into underlying data and visuals
Click into any chart or table in the response to explore the underlying data. You can break down results by dimension, compare periods side-by-side, and trace exactly which rows and aggregations produced the number you’re reviewing.

Scroll to review the full report
Scroll through the workspace to see all charts, tables, and narrative sections Wisdom generated. The workspace preserves your entire session — each question and its answer appear in sequence, so you can follow the full thread of your analysis and share it with your team.

Multi-stage queries
Wisdom handles compound prompts that span multiple analytical tasks in a single question. The master coordinator’s execution plan branches dynamically — the result of one service call determines the next service to invoke.How Wisdom stays accurate
Three configuration surfaces per dataset act as guardrails. Together they make Wisdom respond within your business rules instead of inventing them.Domain Knowledge
Natural-language business rules — definitions, exclusions, aliases. Wisdom answers within these rules.
Wisdom Skills
Packaged, reusable analytical pipelines. Each Skill runs as a deterministic pipeline with arguments.
Business Events
Documented timeline of real-world context (promotions, outages, seasonality) that Wisdom uses to explain patterns.
Example questions to try
Trend analysis
“Show me the trend of Revenue over the last 3 months.”
Dimensional breakdown
“Break down Conversion Rate by marketing channel.”
Period comparison
“Compare Revenue this period vs last period.”
Explain a story
“What caused the drop in Conversion Rate yesterday?”
Forecast
“Forecast Revenue for the next 4 weeks.”
Scenario
“If Conversion Rate rises 10%, what happens to Revenue next month?”
What’s next
Conversational Dashboards
Pin any Wisdom answer as a dashboard chart.
Domain Knowledge
Teach Wisdom your business rules.
Wisdom Skills
Package reusable analytical patterns.
Business Events
Document real-world context for causal explanations.
Responsible AI
How Wisdom stays deterministic and safe.
Hyper Connected
Multi-source insights with no ETL.