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Data intelligence
‍for operational excellence

Turning strategic vision into operational reality

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Isometric layered diagram of the eaQbe service stack: a data integration foundation supports business intelligence and custom algorithmic solutions, topped by agentic workflows, with an audit and advisory frame around all four layers
Four layers, from data foundations to agentic workflows.

Our core beliefs

Building systems that create a powerful synergy between human expertise and machine intelligence

eaQbe service stack

End-to-end consulting: from data foundations to decision intelligence at scale across your organization

Circuit-board process diagram showing a left-to-right data value chain: raw business data sources flow through a ‘Build Data Backbone’ layer (integrate, model, govern), ‘Turn Data into Intelligence’ (BI, KPIs, dashboards, reporting, alerts), and ‘Custom Algorithmic Solutions’ (explainable white-box logic) to deliver actionable insights and decisions at scale
From raw business data to decisions at scale.

Build the data backbone

We build the unified foundation your data needs to scale. By mastering integration, modeling, and governance, we transform scattered sources into a trusted asset: ensuring consistent analytics across teams and tools.

Turn data into decision intelligence

We design and optimize end-to-end BI systems, from data modeling and KPI definitions to dashboards, visual storytelling, automated reporting, and alerts. Built for adoption, consistency, and decision velocity across your organization.

Custom Algorithmic Solutions

We engineer tailored algorithms to solve specific operational challenges. When off-the-shelf analytics isn’t enough, we build custom logic, from optimization to advanced pattern recognition. Transparent by design, our “white-box” systems keep decision-making explainable and auditable.

From data to Intelligent Systems :
Agentic workflows  

We turn business processes into production-ready agentic systems: orchestration, integrations, guardrails, and measurable outcomes.

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Our methodology

A structured consulting approach grounded in CRISP-DM and delivered through Scrum

  1. Step 1

    1. Frame the challenge

    We start by structuring the project at business level: stakeholder alignment, governance setup, and qualitative interviews across departments. Through steering committees and structured discussions, we clarify objectives, success criteria, constraints, and interdependencies. In parallel, we assess available data sources to ground decisions in operational reality.

    CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, around a central CRISP-DM hub with its icon, clockwise from Business Understanding at the top: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Business Understanding and Data Understanding are highlighted; the other steps are dimmed. CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, in one column, top to bottom, with a return line up the left side from Deployment to Business Understanding, under a CRISP-DM heading with its icon: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Business Understanding and Data Understanding are highlighted; the other steps are dimmed.
  2. Step 2

    2. Build and iterate

    We translate business objectives into data pipelines and models. This phase covers features engineering, and iterative modeling, with frequent validation points. Working in short cycles, we test assumptions, refine configurations, and ensure models remain explainable, robust, and aligned with business intent.

    CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, around a central CRISP-DM hub with its icon, clockwise from Business Understanding at the top: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Data Preparation and Modeling are highlighted; the other steps are dimmed. CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, in one column, top to bottom, with a return line up the left side from Deployment to Business Understanding, under a CRISP-DM heading with its icon: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Data Preparation and Modeling are highlighted; the other steps are dimmed.
  3. Step 3

    3. Validate and operationalize

    We evaluate results against the initial business objectives. Once validated, we deploy solutions into existing systems, support user adoption, and document outcomes. This phase closes the loop with stakeholders and sets the foundation for continuous improvement.

    CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, around a central CRISP-DM hub with its icon, clockwise from Business Understanding at the top: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Evaluation and Deployment are highlighted; the other steps are dimmed. CRISP-DM cycle drawn as frosted glass tiles joined by glowing connectors: six steps with their icons, in one column, top to bottom, with a return line up the left side from Deployment to Business Understanding, under a CRISP-DM heading with its icon: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, then back to Business Understanding. Evaluation and Deployment are highlighted; the other steps are dimmed.

Trusted by

WSBI-ESBG
SolarPower Europe
Cefic
Silversquare
Yoga Room
EURid
Eurosif
Elitis Insurance

Get the right experts, when you need them

Need expert support for a short mission or longer run? We bring senior consultants in BI, data platforms, and intelligent workflows.

✦ Contact us

Frequently asked questions

What services does eaQbe offer?

End-to-end consulting in four layers: the data backbone (integration, modeling and governance), decision intelligence (BI systems, dashboards and automated reporting), custom algorithmic solutions, and agentic workflows.

How does a consulting project run?

In three steps, grounded in CRISP-DM and delivered through Scrum: frame the challenge, build and iterate in short cycles, then validate and operationalize the solution in your existing systems.

Are your algorithms explainable?

Yes. Custom algorithms are white-box systems, transparent by design, so decision-making stays explainable and auditable.

Can eaQbe provide consultants for a short mission?

Yes. For a short mission or a longer run, eaQbe brings senior consultants in BI, data platforms and intelligent workflows.

Where is eaQbe based?

eaQbe was founded in Brussels in 2020; its office is at Avenue Arnaud Fraiteur 15-23, 1050 Brussels, and it works with organisations across Belgium and the EU.

How do we start a project?

Book a 30-minute video call, without commitment, or write to [email protected].

Let's talk about your project

Pick a 30-minute slot - video call, no commitment.

For client conversations only - if you're selling something, you'll be declined and blocked.