Unreliable data produces unreliable AI models
Models trained on polluted or inconsistent data produce unpredictable, non-verifiable results.
What we do
AI promises a lot — but only delivers on top of the right data foundation. cimt helps you put the basics in place: from data strategy and governance to integration, analytics and AI readiness.
The reality
Everyone is talking about AI, but only a fraction of organisations are actually ready to put it to work. The reason? The data foundation isn't in order.
Models trained on polluted or inconsistent data produce unpredictable, non-verifiable results.
Without policy, lineage and stewardship, you run head-first into the EU AI Act, GDPR and Data Act the moment AI goes to production.
Data scattered across silos and formats creates blind spots — decisions get made on partial truths.
The good news: putting your data foundation in order delivers immediate value — better reporting, more reliable insights and an organisation ready for the next step.
Our expertise
Four connected disciplines that take your data from foundation to business value — structured around the DAMA DMBoK framework.
Getting the foundation right: strategy, governance, quality and architecture grounded in the DAMA DMBoK framework.
More on Data Management
Connect every data source into one reliable, real-time dataset — with Qlik Talend Cloud at the core.
More on Data Integration
From self-service dashboards and conversational analytics to predictive AI — insights for every team.
More on AnalyticsPolicy, processes and tooling to manage, secure and keep your data assets compliant.
More on Data GovernanceWhat's new
What's moving in data management, governance and AI — from the daily practice of our consultants.
Technology
The new Qlik MCP Server lets you integrate your Qlik Cloud environment directly with AI assistants — safely and under governance.
Read moreInsight
The European AI Act sets requirements for the data that AI systems use. Data governance is no longer optional.
Read moreCases
How an international manufacturer used Snowflake and Qlik to cut reporting time from weeks to real-time.
Browse casesReady for the next step?
In one session we map where your data foundation stands — and what the fastest route to AI-ready data looks like for you.
Frequently asked
AI-ready data is structured, classified, governed and of known quality — so AI models can be trained or applied with predictable results. In practice that means a working data catalogue, lineage, quality monitoring and clear ownership per dataset.
The DAMA DMBoK is the international standard for data management, covering eleven knowledge areas from Data Governance to Data Architecture. cimt uses it because it makes practice repeatable, maturity measurable, and lets us build a roadmap that meets your organisation where it is today.
Yes. Our services — governance, quality, integration, architecture — are technology-neutral. cimt is a Qlik Elite Partner, Snowflake and erwin by Quest partner, but our approach works alongside the tooling you already have.
With a no-obligation 30-minute conversation about your situation and goals. From there we typically propose starting with a quickscan or assessment (1–4 weeks, fixed price) so you know where you stand and what the next steps are before committing further.
A Data Readiness Assessment is a fixed-scope, fixed-price engagement that depends on the size of your organisation and the depth of scope. We discuss this in the first conversation so you know exactly what you get before deciding.