Data Analytics & Data-Driven Operations
Turning data into results – with intelligent analyses for better decisions and efficient processes.
Operational excellence through data-based decisions
From gut feeling to reliable control: we make your processes data-intelligent.
- Data is available, but hardly used?
- Decisions based on estimates instead of facts?
- Are inefficiencies, quality problems or material losses going undetected for too long?
Many companies are sitting on a treasure trove of data – but are not using it. T.A.S. FORCE helps you to uncover this treasure.
We transform operational processes through targeted data analysis, smart evaluations and data-based control systems. From store floor transparency to the supply chain: we combine a deep understanding of processes with modern data analytics to achieve measurable improvements – quickly, pragmatically and effectively.
Our services in data analytics & data-driven operations
Analysis & preparation of operational data
- Recording and structuring of existing data sources (e.g. machines, ERP, MES, quality, logistics)
- Creation of data interfaces, pipelines and visualizations
- Data cleansing & validation: turning "data salad" into a reliable basis for decision-making
- Linking isolated systems for a holistic end-to-end view
- Development of data models for specific use cases (e.g. OEE, FPY, delivery performance)
Data doesn’t have to be “big” – it has to be usable, clean and relevant.
Development of KPI systems & dashboards
- Definition of relevant KPIs for managing production, quality, logistics and purchasing
- Development of customized dashboards & visualization solutions (Power BI, Tableau etc.)
- Integration of live data, leading indicators & status overviews
- Development of performance cockpits for managers and line managers
- Introduction of digital store floor boards for real-time control
You can’t improve what you don’t measure – we make operational performance visible.
Data-based process optimization
- Identification of inefficiencies, fluctuations and waste through data mining & trend analyses
- Use of statistical methods to evaluate process capability and correlations
- Data-supported optimization of set-up times, reject rates, downtimes and throughput times
- Prioritization of improvement measures based on data impact instead of gut feeling
- Implementation of data-driven Kaizen workshops & root cause analyses
We bring data expertise directly to your improvement teams.
Predictive & prescriptive analytics
- Development of forecasting models for e.g. machine downtimes, scrap development or delivery bottlenecks
- Development of recommendations for action based on algorithms (prescriptive analytics)
- Integration into existing systems for automated escalation or triggering of measures
- Use of AI processes for real-time pattern recognition and early warning
- Piloting of use cases with measurable business impact (e.g. cost per unit, PPM)
Not just explaining what has happened – but predicting what will happen.
Enablement & Data Culture
- Building a practical understanding of data in the organization
- Training for managers & operational teams in KPI logic, data interpretation and decision-making
- Development of a "data thinking" approach: from data user to data controller
- Introduction of roles such as data owner, KPI manager, data coach
- Development of methodological standards for data-based problem solving & action tracking
The best analysis is useless if it is not understood, believed or implemented.
Application examples from practice
- Production:
FPY increase through data-based error pattern analyses, SMED optimisation via set-up time data, OEE control via live cockpit - Quality:
PPM reduction through trend analyses, use of AI to detect systemic errors, automated escalations - Logistics & SCM:
On-time delivery improved through lead time measurements & bottleneck identification, backorder management optimised based on data - Procurement:
Spend analyses, supplier performance dashboards, early warning systems for supply chain disruption - Management & controlling:
Management dashboards with drill-downs to the line, data-based performance review in management circles
Track record: data-based operational breakthrough
- FPY +18 % after 6 weeks – through data-driven error classification and immediate measures
- Delivery performance +22 % – through bottleneck analysis and lead time optimization
- Downtimes -35 % – through evaluation of MES data & predictive alerts
- Reduce reporting by 70% – through automation and self-service dashboards
- Development of KPI systems for over 4 plants in 3 countries – standardized, scalable, comprehensible
FAQ - Frequently asked questions
"Why T.A.S. FORCE?" Your questions, our answers
Why T.A.S. FORCE for Data-Driven Operations?
- We combine process knowledge with data expertise – from the shop floor to the supply chain
- Our experts come from practice – not theory
- We focus on feasibility, not on ‘buzzwords’ or IT blind performance
- We empower your organisation – for sustainable data-driven management
- We deliver measurable results – not just visualisations
When do you need data-driven operations?
- You have data – but no transparency or insights
- Your operational management is based on gut feeling instead of facts
- You want to improve your processes based on data
- Your teams need KPI expertise and modern tools
- You finally want to derive real benefit from your flood of data