Overview
The agentic analytics assistant — ask complex, multi-stage questions in plain English; Wisdom plans, executes, explains. Far more than text-to-SQL.
Wisdom is DataGenie's agentic analytics assistant — you ask complex, multi-stage questions in plain English, and one autonomous agent plans, executes, and explains. It understands your question, pulls and verifies the numbers through DataGenie's own analytical services, and returns the answer as a single, streamed document of charts, tables, and narrative — far more than text-to-SQL.
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 Wisdom works
Ask in plain language
Pick your dataset, then ask your question in the question box — no SQL, no exact column names. Type / to pull in a skill, a KPI, or a dimension and focus the answer exactly where you want it.
Watch the answer assemble
Wisdom plans the work, fetches and verifies the data, and streams the answer back section by section — a one-line takeaway first, then the KPI against its expected range, the trend, the drivers behind any change, and a plain-language explanation. One integrated document, not a wall of tabs.
Reshape and drill in
Change how a result is shown without re-asking — swap the chart type, combine sections, or revert. Click into any chart or table to break it down by dimension and trace the numbers back to their source.
Keep the thread
Ask follow-ups in the same notebook — Wisdom holds context and builds on earlier answers. Your work is saved as a notebook you can reopen, restored to its full state.
Wisdom remembers you
Confirm the durable preferences Wisdom picks up — the metrics you care about, how you like answers framed — and it applies them to every future answer, privately to you.
The more specific your question, the sharper the answer. "What caused the drop in Conversion Rate on Mobile in the US last week?" gives Wisdom a clear scope to work with — vague questions produce broader, less actionable results.
Multi-stage queries
Wisdom handles compound prompts that span multiple analytical tasks in a single question. The agent's execution plan branches dynamically — the result of one service call determines the next service to invoke.
superlore-canvas spec — expected JSON with nodes (and optional edges/groups).When you ask the same multi-stage question repeatedly, package it as a Wisdom Skill — invocable with arguments, deterministic output every time.
Grounded in your Knowledge Center
Wisdom does not answer in a vacuum. Before it plans a single step, it pulls context from your Knowledge Center so every answer reflects your business - your definitions, your calendar, the way you like to read a result - not a generic model's guess.
superlore-canvas spec — expected JSON with nodes (and optional edges/groups).Wisdom Skills
Repeatable analyses Wisdom can invoke on demand - each Skill (also called a Cognitive Skill) runs as a deterministic pipeline with arguments.
Knowledge
Your KPI definitions and business rules - definitions, exclusions, and aliases Wisdom answers within, instead of inventing logic.
Business Events
Real-world context - promotions, launches, outages - Wisdom factors in to anchor explanations to recorded causes.
Memories
Your per-user preferences for how answers are framed - the metrics you care about and how you like figures shown, applied privately to you.
MCP
External tools Wisdom can act through, so an answer can reach beyond the dataset when your workflow needs it.
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
Knowledge
Teach Wisdom your business rules.
Wisdom Skills
Package reusable analytical patterns.
Business Events
Document real-world context for causal explanations.
Memories
What Wisdom remembers about how you work.
Responsible AI
How Wisdom stays deterministic and safe.
Hyper Connected
Multi-source insights with no ETL.