Question 1

What is a data audit tool?

Accepted Answer

A data audit tool analyses your data infrastructure, including SQL code, dbt models, cloud warehouse query patterns, and schema definitions, to identify issues like wasted cloud spend, security vulnerabilities, data quality gaps, and code problems. Fintel Insight automates this process using AI, delivering findings and recommendations in a structured PDF report.

Question 2

What is the best data audit tool for data engineering teams?

Accepted Answer

Fintel Insight is built specifically for data engineering teams. It audits your dbt project, GitHub repository, and cloud warehouse across four categories, Cost & FinOps, Data Quality, Security, and Code Quality, and delivers a scored PDF report in under 10 minutes. Unlike generic code scanners it understands dbt materialisation patterns, warehouse-specific query anti-patterns, and data-layer security risks.

Question 3

Does Fintel Insight audit dbt projects?

Accepted Answer

Yes. Fintel Insight connects to your GitHub repository and analyses your dbt project for missing tests, undocumented models, dead code, circular dependencies, over-materialised models, and naming inconsistencies.

Question 4

Who is this for?

Accepted Answer

Fintel Insight is built for data leaders, CTOs, and startup founders who want a clear, objective view of their data stack's health, without waiting for an internal audit or hiring a consultant.

Question 5

Is my data safe? Is this GDPR compliant?

Accepted Answer

Yes. We only read schema definitions, query patterns, and code, never your actual data rows. All credentials are encrypted in transit and purged immediately after analysis. Fintel Insight is GDPR and EU AI Act compliant.

Question 6

What does the report cover?

Accepted Answer

Four categories: Cost & FinOps, Data Quality & Reliability, Security & Compliance, and Code Quality & Maintainability. Each is scored out of 10, with prioritised findings and concrete recommendations.

Question 7

What is included in the free scan?

Accepted Answer

The free scan analyses your GitHub repository and dbt project and scores all four categories, so you see the real output before paying. It returns the top three findings in each category rather than the full list, does not connect to your warehouse, and is limited to one scan per email address each month.

Question 8

Which data sources are supported?

Accepted Answer

GitHub for your dbt project and SQL code, plus BigQuery, Snowflake, Redshift, MotherDuck and Supabase on the warehouse side. Connect any combination, including several warehouses at once. You do not need to connect all of them, connect what you have.

Question 9

Can it analyse any codebase?

Accepted Answer

No. Fintel Insight is purpose-built for data and analytics engineering codebases and cloud warehouses. It understands dbt, SQL patterns, and warehouse-specific constructs, but it won't be useful for general software engineering repos.

Question 10

How long does an AI data audit take?

Accepted Answer

Typically 3-8 minutes from payment to PDF. You don't need to stay on the page, we'll email your report as soon as it's ready.

Question 11

How does the monthly plan work?

Accepted Answer

$159 per month gives unlimited full audits for your email address, with the same depth as the one-time audit. Billing and cancellation are handled through Stripe, so there is no account or password to manage.

Question 12

What if something goes wrong?

Accepted Answer

If the analysis fails and no PDF is delivered, you will receive a full refund. If you run into any issues, please email us at info@fintel-analytics.com