Can your data stack answer questions in plain English?
Our free AI readiness assessment reviews your warehouse, data models and governance, then tells you straight: you're ready for a conversational analytics layer today, or here's what needs to change first.
No cost, no obligation. Works with Databricks, Azure, IBM watsonx and SQL-based stacks.
What we look at, from the ground up
An AI layer is only as trustworthy as what sits underneath it. We review each layer of your stack against what conversational analytics actually needs to give accurate, governed answers.
Sources and integration
Which systems feed your analytics, how often they sync, and whether anything important still lives in spreadsheets.
Warehouse or lakehouse
How your core data is modelled and stored, and whether it's structured in a way an AI layer can query reliably.
Semantic model and metrics
Whether "revenue", "margin" or "active customer" mean the same thing in every report, or three different things.
Governance and access
Role-based access, row-level security and sensitive data handling, so people only get answers they're allowed to see.
Data quality and ownership
Freshness, accuracy and clear owners for key datasets, because a fast answer on bad data is worse than no answer.
What you get
A readiness rating per layer
A clear view of which parts of your stack are ready, which need attention, and which are blockers.
A prioritised gap list
The specific changes needed, ordered by impact, so you know what to fix first and what can wait.
A recommended path
Either a scoped Conversational Analytics Pilot on your current stack, or a fix-first plan to get you there.
A readout with our team
A walkthrough of the findings with your data and business leads, with time for questions.
Two possible outcomes, both useful
You're ready
We scope a Conversational Analytics Pilot: a governed AI layer on your existing stack, live with a real team in 4 to 8 weeks.
No re-platforming
Your access rules carry through
Measured against questions your team really asks
You're not ready yet
You get a clear, prioritised plan for the foundations to put in place first, so an AI layer doesn't give confident answers on shaky data.
Specific changes, not general advice
Ordered by impact
Yours to act on with or without us
Is the assessment really free?
Yes. There's no cost and no obligation to go ahead with a pilot afterwards.
Which platforms do you work with?
We regularly work with Databricks, Microsoft Azure, IBM watsonx and SQL-based warehouses. If you're on something else, book a session and we'll tell you honestly whether we can help.
What access do you need?
We start with a conversation and your architecture documentation. Anything beyond that is agreed with your team before we look at it.
Who should join from our side?
Ideally someone who owns the data platform and someone from the business who relies on the reporting. Their questions shape the assessment.
What is a conversational analytics layer?
It lets people ask questions of your data in plain English, such as "what was margin by region last quarter?", and get accurate answers drawn from your governed data, without writing SQL or waiting on a new dashboard.
Data strategy, integration, analytics and governance. dataninjas.co