Finance, sales, product and operations

Answers from company data, without waiting for an analyst

People ask about the company’s data in plain words. The agent writes the queries and answers with a table.

Sigma
Active customers by region
How did weekly active customers change by region, last month against this month?
You · 10:14
Data warehouse List tables · customers, activity
Data warehouse Run query · column renamed, fixed and ran again
Code Count weekly averages
Weekly active customers grew in 3 regions out of 4. The South fell by 6%, mostly in the last 2 weeks.
RegionLast monthThis monthChange
North4,2104,480+6%
Central6,9307,150+3%
West3,1203,260+4%
South2,8702,700−6%
Message…

Screens show sample data. The case is real use in the group that built Sigma.

The task

Someone in finance, sales or product needs a number: revenue, costs, sales, or how a product is doing.

Before, that meant asking an analyst or ordering a dashboard. That could take weeks.

How the agent does it

  1. An agent gets access to 26 private tables, so different people can ask about that data.
  2. A person asks in a chat, like asking a colleague.
  3. The agent reads the list of tables, writes a query and runs it. If the query fails, it fixes it and tries again.
  4. It does the maths in code and answers with a table or a chart.
  5. It uses the person’s own access. It can’t show them data they are not allowed to see.

What changed

  • People get the answer in the chat. No analyst request, no new dashboard.
  • Follow-up questions go in the same chat, and the agent carries on.

In numbers

Reach

34%

of people who use agents asked data questions this way: 205 people

Last 30 days

Frequency

1,301

conversations with data queries in 30 days

Last 30 days

Finishedcompany-wide

88%

of agent runs across the company are completed

Last 30 days

Time

~6 min

per conversation with data queries (median), including the person’s own pauses

An earlier 30-day period

Production data inside the group, read-only. A run is finished when it ends with the status “completed”.

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