Use caseData Analysis Agent

Your data team, on demand in Slack

Ask in plain English. Dench writes the SQL, runs it on your warehouse, and posts the chart — grounded in your dbt models.

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#exec-questionsData Analysis Agentlive
DenchAgent10:34 AM

Q3 paid CAC by channel

From fct_paid_acquisition, blended attribution.

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Answered in 1.4s from your warehouseDench
Built for

Data teams drowning in 'quick number' requests

  • Exec DMs pile up faster than you can run SQL
  • Dashboards nobody opens, ad-hoc nobody scopes
  • The exec team is using ChatGPT for 'analysis' anyway

What the Data Analysis Agent agent actually ships.

  • Self-serve SQL for everyone

    Stakeholders ask in English; Dench writes, runs, and explains the query, then posts the chart.

  • Trusted by the data team

    Grounded in your dbt models and metric definitions — answers match what BI would have run.

  • Dashboards that stay fresh

    The boards execs actually open, auto-refreshed and annotated in plain English.

How it works

When the CEO asks 'what's our CAC by channel?'

  1. Step 01

    Question lands in Slack

    Plain English — no ticket, no spec, no 'next sprint'.

  2. Step 02

    Dench writes the SQL

    Against your dbt models — not a hallucinated table name.

  3. Step 03

    Result charts itself

    Posted back with the chart, the SQL, and the data-window caveat.

  4. Step 04

    Promotes to a dashboard

    One click into Mode, Hex, or Metabase for everyone.

What it ships

What the Data Analysis agent actually ships.

  • Answer data questions in Slack

    SQL written, run, charted

  • Ground answers in dbt and metrics

    Same numbers BI would ship

  • Fix stale dashboards

    Broken charts flagged and refreshed

  • Post weekly KPI reports per team

    To each team's own channel

  • Catch metric anomalies

    CAC, churn, DAU drift alerts

  • Promote repeat questions to models

    The third ask becomes a dbt model

  • Draft the monthly business review

    From the warehouse, ready to edit

  • Surface unused dashboards

    Stop maintaining what nobody opens

Integrations

Built for the modern data stack.

  • Snowflake
  • BigQuery
  • Redshift
  • dbt
  • Mode
  • Hex
  • Metabase
  • Looker
  • Slack
  • Linear

What Garry Tan, CEO of Y Combinator, says about Dench

Placing agent power on your own computer empowers every user and I’m so here for that. dench.com/claw
Garry Tan

Garry Tan

CEO of Y Combinator

600K+ followers

Questions you'd actually ask

Before you switch.

It's grounded in your dbt models, metric layer, and warehouse schema — real tables, real joins, your defined metrics. Wrong answers fail loudly, not silently.

Reclaim Friday from the Slack DM pile.

Connect Dench to your warehouse and dbt. Watch the first 'quick question' answer itself.

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