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Solutions · Diversified groups

Diversified groups

One data and AI baseline across businesses

The problem

Several businesses, several systems, and no group-wide view of data or AI readiness.

A diversified group carries the complexity of every business it owns. Each has its own ERP, its own definitions and its own reporting. Group leadership needs one baseline before it can decide where data and AI investment pays back first.

What we apply

The capabilities we bring together.

Each capability is a service line and a layer of the stack, combined for this problem.

  1. 01

    Maturity baseline and use-case prioritisation

    An honest map of readiness across the group and a scored backlog tied to KPIs.

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  2. 02

    Lakehouse vertical slice and governance

    A governed data platform proven on one department first, then scaled.

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  3. 03

    Executive and departmental BI

    A KPI dictionary and dashboards that give group and business leaders the same numbers.

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  4. 04

    AI prototypes on real data

    One or two prototypes validated on the group's own data before any production commitment.

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How we address it

Foundation first, then intelligence.

We run these as phased transformation programmes: crawl, walk, run. The first phase baselines the group, prioritises use cases, proves the platform on one vertical slice, delivers production dashboards and validated AI prototypes, and hands leadership a roadmap and investment model for the next phase.

Decisions that improve

  • Where to invest first across the group's businesses
  • Which use cases to build, in what order
  • Group performance decisions from one trusted view

Where we have done this

Delivered in the region, on real systems.

We deliver enterprise data and AI transformation programmes for diversified groups in the region.

Powered by the CogniverseAI stack

The technology behind it.

Cogni-Data for the foundation, Cogni-BI for a shared view of performance, Cogni-AI for prediction and recommendation, and CogniGraph to connect them to the decisions that follow.

Ready to turn enterprise intelligence into better decisions?

Let's identify where data, AI and orchestration can create measurable value in your organization.

  1. 01

    Send a message

    Tell us what you are trying to decide and what your data looks like today.

  2. 02

    A 60-minute conversation

    Where your decisions are made today, what they rest on, and where the gaps are.

  3. 03

    A written summary you keep

    What we heard, what we would look at first, and what an engagement could look like.