Data analytics is about decision-making, not reporting.
Data Analytics: Data warehouses, data lakes, data virtualization, data mesh, enterprise data fabric, and smart data fabric are all means to an end. The end goal is a data foundation that enables AI to be strategic, scalable, and responsible.
No Data, No AI
No AI gimmick without a data foundation
I lay the groundwork for turning data into sound decisions: consolidated sources, transparent influencing factors, and an architecture that bridges operational reality and strategy.
01
Data Architecture
Data warehouse, data lake, data virtualization, data mesh, or enterprise data fabric (also known as smart data fabric)—the architecture should be tailored to your specific needs, not to technology trends.
02
Eliminate data silos
Consolidation of production, laboratory, and environmental data from PLCs, databases, and paper archives into a usable database.
03
Data Quality
Reliable figures are the result of defined quality control mechanisms, which form the basis for trust in any analysis.
04
Highlighting Influencing Factors
Raw data is transformed into understandable relationships: Which factors are at play, to what extent, and with what consequences?
05
AI on a Robust Foundation
First the data foundation, then the AI. That’s how it becomes strategic and scalable rather than just a one-off experiment.
06
From Model to Impact
Proven models are adapted—for example, a forecasting model from Formula 1 is applied to a corporation’s logistics management.
Procedure
From Data Silo to Decision-Making Foundation
Phase 1
Clarify the data situation
- Tracking Sources, Silos, and Quality
- Defining Leadership Questions
- Prepare an architectural decision
- Identify Quick Wins
Phase 2
Stabilization
- Consolidate Data Sources
- Establish quality control mechanisms
- Analyze Influencing Factors
- Initial Models and Dashboards
Phase 3 · ongoing
Controls & AI
- Management Perspectives and KPI Logic
- AI Based on a Reliable Data Set
- Governance Without Excessive Bureaucracy
- Scaling to Other Areas
Documents
When Data Becomes Impact
Stable
Seasonal fluctuations explained, process parameters optimized, and active ingredient quality stabilized across seasons.
24 hours
Logistics · Mail-Order Business 40,000 employees
Applying a forecasting model from Formula 1 to global logistics management, ensuring consistent 24-hour delivery.
2+3
World Championship Titles · Formula 1
Established data-driven decision-making processes that contributed to two drivers’ and three teams’ world championship titles.