Understands your business terms
The Enterprise Context Engine knows what "net revenue", "active customer" or "on-time" means in your company, so the question is translated the way your analysts would.
Conversational BI
Ask your data a question. Get an answer you can check.
Conversational BI lets anyone ask a business question in plain language, by text or voice, and get the number, the chart and the reasoning in seconds. No SQL, no dashboard backlog.
The problem
Most business questions never reach a dashboard. They sit in an analyst queue for days, or get answered from an old spreadsheet. Generic chat-with-your-data tools answer quickly but guess at what your terms mean, so the numbers cannot be trusted.
Writes and checks the SQL
One model writes the query, a second reviews it and a third validates the result. If they disagree, Chat4ED asks you a clarifying question instead of guessing.
Answers where you work
Ask in the Chat4ED app, Microsoft Teams, Slack or WhatsApp, by text or by voice in 27 languages.
Sample answer
What an answer looks like.
Illustrative example on sample data.
Summarize Q3 for the board and flag the biggest risk.
Answer 3 of 3 models agreeRevenue grew in every region, but the West missed plan by 9%. Freight costs rose 18% after the July carrier change. That is the biggest risk to Q4 margin.
SQL it ran
SELECT region,
SUM(net_revenue) AS revenue,
SUM(net_revenue) / SUM(plan_revenue) - 1 AS vs_plan
FROM finance.revenue_monthly
WHERE fiscal_quarter = '2026-Q3'
GROUP BY region
ORDER BY revenue DESC;Definitions used
- Net revenue = gross sales − returns − discounts
Sources
finance.revenue_monthlyops.freight_costsTry asking
Questions teams ask.
“What was gross margin by region last quarter?”
A ranked table and bar chart, with the margin definition and the tables it came from.
“Which product lines are below plan this month?”
The lines below plan, how far below, and the change from last month.
“Show me new customers by channel, last 90 days”
A weekly trend by channel, with the definition of "new customer" it used.
Connectors
Works with the data you already have.
Snowflake
BigQuery
Redshift
PostgreSQL
MySQL
SQL Server
Oracle
ClickHouse
Trino- Athena
SAP HANA & B1
Excel & CSV