Thinklytics

Corporate Drag and Risk Diagnostic

A free 30 day diagnostic. Where your numbers stop agreeing, what the disagreement is costing, what is blocking the AI work, and a 90 day plan. Yours either way.

What you walk away with

  • An inventory of every dashboard, data source, and metric in use
  • The metric definition conflicts causing disagreements between teams
  • An AI-readiness score on a published 5-point rubric
  • A 90-day roadmap in priority order
  • An honest assessment of whether you need a platform change
  • A 15-page written report, yours to keep

Who qualifies

  • $20M+ annual revenue, or a state or federal agency, or a $5M+ nonprofit
  • An existing BI investment (Tableau, Power BI, Looker, or equivalent)
  • A VP-level or higher executive sponsor

The audit is free for qualifying firms. The report and roadmap are yours whether you hire us or not.

Frequently asked questions

What is an analytics audit?

An inventory of what you actually have, followed by a diagnosis of why the numbers disagree. We catalogue every dashboard, data source and metric in use, find where two teams define the same metric differently, score how ready the data layer is for AI against a published rubric, and hand back a prioritised 90-day plan. It's a diagnostic rather than a proposal in disguise.

What does it cost?

Nothing. The 30-day Analytics Truth Audit is free and carries no obligation. We run it because the fastest way to show what senior-led work looks like is to do some, and because the findings tell both sides whether there's a real engagement here before anyone signs anything.

How is this different from an AI readiness assessment?

It contains one. The audit covers the whole reporting estate: what exists, what conflicts, and what it costs you. The AI readiness score is the part that answers whether the data layer can support the AI work you've in mind. If AI is the only question you have, the readiness assessment on its own is the tighter engagement.

How much of our team's time does it take?

Hours across the month rather than days. We do the system inspection ourselves. What we need from you is access, and short working sessions with the people who know where the data actually comes from, which is usually a data engineer, whoever owns the source systems, and one business owner who can settle what a contested metric means.

What access do you need from us?

Read-only access to the data warehouse, the BI tool, the ticketing system and any existing AI project repositories. Read-only is the whole of it: we do not write, deploy, or change configuration at any point during the diagnostic. If a system cannot be opened up for policy reasons, say so at the qualifying call and we scope around it rather than discovering the gap in week two.

What does the 30 days actually involve for our team?

Six to ten people for one 60-minute structured interview each, across executive, engineering, data and end-user roles, plus someone who can grant the read-only access in week one. That is the commitment. Everything after the interviews is our work against your systems, and we come back to you with findings rather than with more questions.

What is in scope, and what is not?

In scope: every dashboard, data source and metric in use gets inventoried; the top 20 metrics get traced back to source to see whether the same name produces the same number; the most-queried tables get sampled for completeness, uniqueness and freshness; pipeline reliability gets scored. Not in scope: building anything, fixing anything, or a full data-quality pass on every table you own. It is a diagnosis, and treating it as the first phase of a build is the one way to be disappointed by it.

What happens after the 30 days?

You get the 15-page report, the AI-readiness score and the 90-day roadmap, and they are yours whether you hire us or not. If the findings point to work worth doing and you want us to do it, that gets scoped and quoted separately as a fixed fee per phase. If they point to something you can fix internally, the roadmap is written so your own team can run it. Both happen.

What if the answer is that we don't need to change platforms?

Then that's what the report says. We've told clients to keep the stack they have more often than we've recommended replacing it, and we've helped clients avoid more than $6M in migrations that wouldn't have fixed the underlying problem. An audit that always concludes you need the thing the auditor sells isn't an audit.

Ready to find out what is broken?

Frequently asked questions

Inventory of every dashboard, data source, and metric in use

Book a free 30-day data analytics audit. Our BI consulting experts will diagnose your data chaos, assess AI readiness, and map a clear path to trusted metrics.

Get a free data foundation audit. We identify gaps in your metrics, pipelines, and BI stack.

You get a 15-page report scoped to your environment, an AI-readiness score on a published scorecard, and a 90-day roadmap. We deliver it whether you hire us for the work or not.

Fill out a short intake form and we'll review your information and reach out within one business day to schedule a qualifying call.