Analytics & Data Value

Data that does not remain a report. Data that becomes decisions.

I support companies and teams in designing Analytics and Data Warehouse solutions, connecting architecture, governance, usability and real adoption.

From technical data to understandable value

Technology matters. Direction matters more.

My work begins with complexity: SAP systems, processes, queries, data models, integrations, technical constraints and business expectations. The goal is not merely to make a dashboard work, but to build a reliable path from source data to decision.

Today I work as an SAP Analytics Team Leader within Unizon / Var BMS, the SAP competence centre of Var Group, contributing to project delivery, team growth, knowledge sharing and customer value.

I work across on-premise and cloud solutions, reverse engineering, configuration, development, project management, team coordination and user enablement.

Areas of expertise

The technical scope.

SAP Analytics Cloud

BI, Planning, storytelling, KPIs, models and business adoption.

SAP Datasphere

Data modelling, integration, semantic layers, governance and modernisation.

BW / BW4HANA

Legacy logic, BEx queries, transformations, flows and migration paths.

HANA & BTP

Calculation Views, connectivity, Cloud Connector, OData and integration scenarios.

Method

Understand. Simplify. Build. Enable.

I do not begin with a tool. I begin with the question, the decision and the people who must use the result.

01 · UnderstandProcesses, data, constraints, expectations and real pain points.
02 · DesignA sustainable architecture and a clear evolution path.
03 · DeliverReliable models, reports, governance and measurable progress.
04 · EnableKnowledge transfer, adoption and stronger teams.

Concrete experience

Projects that respect what already exists and make the next step possible.

Modernising does not mean destroying everything. It means understanding what creates value, what must change and how to move business and IT in the same direction.

Data and Analytics project examples