Sales Use Cases/Deals & RevenueRevOps Lead

Report net new ARR from sales split by cohort.

An AI data analyst builds the dashboard from a CRM export, watches for changes, and pings the owner when the metric moves, so nobody has to rebuild it by hand. Bruin does this in one platform: ingestion, SQL and Python pipelines, quality checks, lineage, and an AI data analyst that answers in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email and the browser.

Metrics & KPIs

average deal sizeACVdiscount ratenet new ARR

Required Data

Closed dealscontractsrevenue

Data Sources

a CRM exportSalesforce

How Bruin answers this

Bruin

Bruin AI Data Analyst

Report net new ARR from sales split by cohort.

Bruin connects to your a CRM export, Salesforce and runs the analysis automatically.

It tracks average deal size, ACV, discount rate and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

Bruin for Sales

Use cases across every team in your Sales company, from churn & retention to revenue operations, product analytics to engineering. One AI that speaks your data.

CRORevOps LeadSales LeaderSales Manager

About Bruin

What is Bruin?

Bruin is an open-source, AI-powered data platform. One project covers the whole path from source to answer: data ingestion (with ingestr), SQL and Python transformations, quality checks, column-level lineage, a data catalog and scheduling. On top of that data, an AI data analyst answers questions in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser, and builds dashboards from a prompt.

Pipelines are plain SQL, Python and YAML files in your own Git repository, and the work runs inside your own warehouse: Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, DuckDB and others. The Bruin CLI is open source under Apache 2.0 and runs on a laptop, in CI or on-prem. Bruin Cloud is optional and adds scheduling, the AI data analyst, governance, SSO and audit logs.

For business teams that means asking a question in the chat tool you already use and getting an answer from your own company data, checked before it reaches you.

Replaces
Separate tools for ingestion, transformation, orchestration, data quality, cataloguing and BI
Open source
Bruin CLI under Apache 2.0; ingestr source-available under the Functional Source License
Your data
Stays in your warehouse; pipelines stay in your Git repository
Security
ISO/IEC 27001:2022 certified and SOC 2 Type 2 attested
Used by
Data teams at Lessmore, StarBerry, NativeMinds, SCG, M8 Games and Fabrikatör

Why Bruin for sales

  • Answers where you already work

    Ask in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser. There is no new tool to learn and no ticket to file with the data team.

  • Answers from checked data

    The analyst reads your pipelines, table descriptions and the latest quality-check results, so it does not answer from a table whose last run failed.

  • One definition per metric

    Revenue, active customers and churn are defined once, in Git, in semantic models and a glossary the analyst reads, so finance and marketing get the same number for the same question.

  • Built on a real data platform

    Bruin also loads and models the data. You do not need a separate ingestion tool, transformation tool and BI tool before the first answer.

How it works

  1. 01

    Connect your data

    Load your SaaS tools, databases and files into your warehouse with ingestr, or point Bruin at a warehouse you already have.

  2. 02

    Give it context

    Bruin documents tables and columns, records owners and runs quality checks on every load.

  3. 03

    Ask

    Ask in Slack, Teams or the browser. Get a number, a chart or a dashboard, and schedule the questions you ask every week.

Get this answer in seconds

Connect your data, ask the question, get the answer. No SQL needed.

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