Data foundation

Data you can trust. Decisions made with confidence.

We help teams connect siloed systems, automate reporting, and build a governed data foundation — so leadership gets a clear, group-level view of performance and finance.

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When data is scattered, decisions get expensive

Blind spots in management

Slow reaction, unclear accountability

Manual reporting

Time lost every month, error risk

Disconnected systems

Conflicting numbers, no single truth

What you get, not what we install

How we work

STEP 1

Discovery workshop & data study

  • Interviews, process walkthroughs, tool and source review
  • Map how data flows today and where it breaks

STEP 2

Quick wins (2–6 weeks)

  • Prioritized dashboards + operational KPIs
  • Automation of repetitive reporting
  • Integrations to connect teams, share data, remove blockages

STEP 3

Data foundation (data lake)

  • Pipelines & structured layers for quality and reuse (Bronze, Silver, Gold pattern)
  • Governance and access rules, so teams trust the numbers.

STEP 4

Enablement & continuous delivery

  • Iterative releases, fast feedback loops, 
client coaching
  • CI/CD style promotion from dev – validated – production

Technologies

Microsoft Azure Cloud

Microsoft Fabric

Microsoft Power BI

Microsoft Purview

Our data capabilities

Data strategy & discovery

Stakeholder interviews, system inventory, data flow mapping, roadmap & estimates.

Outcome

Clarity on what to build
What matters and pay off

Data integration & engineering

Microsoft Fabric pipelines/workspaces, transformations, structured layers.

Outcome

Connected data sources
Reliable pipelines

Data governance & compliance readiness

Microsoft Purview cataloging/lineage approach; governance across the estate.

Outcome

Visibility & ownership
Quality rules and safer sharing

BI & decision enablement

KPI definition workshops, Power BI reporting integrated with the platform.

Outcome

Dashboards leadership actually uses

AI/ML readiness and delivery

“First we create order and trusted data—then models make sense.”

Outcome

Move from reporting to prediction

Why teams choose us

Speed to value

Quick wins early, then scalable foundation

Cloud expertise

Projects built for modern platforms, not fragile setups

Cost predictability mindset

We design for transparency and control (especially important when clients fear surprise bills)

True partnership

Close collaboration, shared ownership, enablement

Frequently Asked Questions

Most teams see value within the first few weeks because we start with quick wins — high-impact reports and integrations that reduce manual work and give leadership immediate visibility. We begin with short discovery workshops to understand your workflows and data gaps, then deliver operational KPIs and dashboards (e.g., performance, headcount). From there, we expand into a scalable data foundation if needed. You don’t wait months for a perfect platform before seeing results.

No. In most cases, we connect what you already have. Most organizations don’t lack tools — they lack connection between them. HR, recruitment, accounting, and internal systems often operate in silos, leading to conflicting numbers and no single source of truth. We start by:

  • mapping your systems and data sources,
  • improving data flow between them,
  • building one reliable view for reporting and decision-making.

If replacing a system becomes relevant, that’s a later, evidence-based business decision — not a requirement to get started.

Yes — we don’t just “build dashboards.” We make sure your teams can actually run with them. You get:

  • clear, user-friendly reports (designed for day-to-day decisions)
  • enablement & coaching, especially for Power BI usage and interpretation
  • a way of working that includes validation cycles with stakeholders, so reports match reality before they’re rolled out widely

We also structure delivery so internal teams can safely contribute (dev workspace → validated → production), instead of relying on one person who “knows the magic Excel.”

Not at all. We run data engagements in a modular way—so you can start small and expand when the value is proven. Typical starting points:

  • Management visibility pack (a first set of KPI dashboards)
  • Stop the manual reporting (automate recurring reports)
  • Connect the critical systems (reduce silos and conflicting numbers)

If you’re a smaller company, you benefit because you get structure early. If you’re a larger group, you benefit because you can finally see the group-level picture across departments or entities.

We typically need:

  • initial point of contact for discovering the data sources
  • a few stakeholders for interviews/workshops (business + operational + finance, depending on scope)
  • access to key data sources (or exports if access is staged)
  • someone who can help us validate definitions and identify data sources (e.g., “How to define your client?”, “Which is the source of truth for certain data”)

From there, we can run discovery, identify quick wins, and propose a roadmap with estimates.

Want a clearer view of your business?

Expert Study Data Readiness Checklist

Drop us a line:





    Belgium

    Rijnkaai 100
    B-2000 Antwerpen

    Romania

    Barbu Lăutaru 11
    700399 Iași

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