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06 Analytics

Insight generation from your data

An agent that watches your data, finds what changed, and tells you what to do.

ask anything — answered from your own data
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app.cadira.io/insights

Analyst agent

Today's insights

3 new
Anomaly

Gross margin fell 3.2pt in the Northeast

Driven mostly by new-carrier freight surcharges.

Risk

SMB churn ticking up for 2nd month

Concentrated in accounts onboarded in Q4.

Opportunity

38 accounts hit their usage cap

Prime upsell — combined $0.6M expansion potential.

The problem today

Where the time and money go.

You have all the data and none of the time. Insights only surface when someone goes looking — usually after the problem is expensive.
  • Anomalies hide until they show up in a bad month
  • Only analysts can answer data questions, so they're a bottleneck
  • Dashboards show what, never why or what next
  • Opportunities pass unnoticed in the noise
How we automate it

The pipeline, end to end.

Cadira connects to your warehouse and runs an analyst agent: it detects anomalies, performs driver analysis to explain them, surfaces opportunities, and recommends actions with the evidence attached. A natural-language interface lets anyone ask 'why did margin drop in the Northeast?' and get a real answer.
  1. Input

    Warehouse

    Snowflake · BigQuery

  2. AI agent

    Anomaly detection

    continuous scan

  3. AI agent

    Driver analysis

    why it moved

  4. AI agent

    Recommend actions

    with evidence

  5. Human review

    Ask-your-data

    natural language

  6. System of record

    Alerts + digests

    Slack · email

AI agent Automated Branch Human-in-the-loop System of record
Inside the product

What your team actually sees.

Illustrative screens from a deployment like yours — branded, embedded in your tools, owned by you.
app.cadira.io/insights/ask

Ask your data

Why did margin drop in the Northeast?
Northeast gross margin fell 3.2pt month-over-month. About 72% of that is one driver: freight surcharges from the new carrier contract, mostly on two accounts (Atlas, Harbor).

Recommend: renegotiate freight terms or add a fuel pass-through — recovers ~2.0pt.

Ask a follow-up…

Driver analysis

Δ margin · NE
  • Freight surcharge -2.3pt
  • Discounting -0.6pt
  • Product mix -0.4pt
  • List price +0.1pt

Surfaced automatically the morning the anomaly appeared — not in next month's review.

real-time

anomaly detection, not monthly

everyone

can ask — not just analysts

why + next

drivers and actions, not just charts

Typical results

What good looks like.

Ranges from comparable deployments. Your call gets you numbers modeled on your actual volumes.

real-time

anomaly detection vs. monthly

everyone

can query data, not just analysts

5×

more insights surfaced per quarter

why + next

not just what happened

Plugs into

Snowflake BigQuery dbt Slack Looker Tableau

…and most other tools via API. If it has an interface, we can wire it in.

Reference pricing

Setup (one-time)
$28k–$48k
Maintenance
$3k–$5k / mo
Live in
4–6 weeks to production
Get your exact quote

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