Customized data solutions for life science & pharma
We help life science and pharmaceutical companies to use their data strategically. With industry-specific expertise, scalable platforms and powerful BI solutions, we create the basis for faster decisions, secure compliance and sustainable innovation.
.webp)
Data integration for
Life Science & Pharma
The life science and pharmaceutical industries are facing major, data-driven challenges. Research, studies, production and supply chains generate huge amounts of data, but data silos and fragmented systems slow down analysis and innovation. Strict regulation demands excellent data management and complete traceability. Patent expiries, generic competition and the pressure to deliver innovations faster increase costs.
We are familiar with these challenges from numerous projects in the life science and pharmaceutical environment and know how they can be solved pragmatically and sustainably. We support you in setting up sustainable data platforms, develop scalable reporting and analytics structures and establish data governance models that meet both regulatory requirements and business needs.
Typical questions
Typical questions
- How do we identify, evaluate and prioritize use cases with the highest strategic impact (e.g. churn prevention vs. network data analysis)?
- How do we anchor regulatory requirements (unbundling, EnWG, GDPR) in a uniform data governance concept?
- Which platform architecture allows us long-term flexibility with simultaneous security and investment protection?
- How do we establish a centralized understanding of data across different IT systems, market roles and departments?
Our services
- Development of a holistic data strategy with a top-down and bottom-up approach
- Use case portfolio analysis incl. profitability assessment
- Development of a role model for data ownership & governance
- Change enablement & organizational development for data-driven work
Success stories
For RheinEnergie, we developed a central data strategy that is closely interlinked with the corporate strategy and divisional strategies and supports their implementation in a targeted manner. The strategy addresses decentralized data landscapes and promotes a company-wide self-service culture for data-driven value creation. It creates clarity about roles and responsibilities and establishes a common understanding of governance as the basis for scalable, future-oriented data usage.
Typical questions
Typical questions
- How do we identify, evaluate and prioritize use cases with the highest strategic impact (e.g. churn prevention vs. network data analysis)?
- How do we anchor regulatory requirements (unbundling, EnWG, GDPR) in a uniform data governance concept?
- Which platform architecture allows us long-term flexibility with simultaneous security and investment protection?
- How do we establish a centralized understanding of data across different IT systems, market roles and departments?
Our services
- Development of a holistic data strategy with a top-down and bottom-up approach
- Use case portfolio analysis incl. profitability assessment
- Development of a role model for data ownership & governance
- Change enablement & organizational development for data-driven work
Success stories
For RheinEnergie, we developed a central data strategy that is closely interlinked with the corporate strategy and divisional strategies and supports their implementation in a targeted manner. The strategy addresses decentralized data landscapes and promotes a company-wide self-service culture for data-driven value creation. It creates clarity about roles and responsibilities and establishes a common understanding of governance as the basis for scalable, future-oriented data usage.
Typical questions
Typical questions
- How do we identify, evaluate and prioritize use cases with the highest strategic impact (e.g. churn prevention vs. network data analysis)?
- How do we anchor regulatory requirements (unbundling, EnWG, GDPR) in a uniform data governance concept?
- Which platform architecture allows us long-term flexibility with simultaneous security and investment protection?
- How do we establish a centralized understanding of data across different IT systems, market roles and departments?
Our services
- Development of a holistic data strategy with a top-down and bottom-up approach
- Use case portfolio analysis incl. profitability assessment
- Development of a role model for data ownership & governance
- Change enablement & organizational development for data-driven work
Success stories
For RheinEnergie, we developed a central data strategy that is closely interlinked with the corporate strategy and divisional strategies and supports their implementation in a targeted manner. The strategy addresses decentralized data landscapes and promotes a company-wide self-service culture for data-driven value creation. It creates clarity about roles and responsibilities and establishes a common understanding of governance as the basis for scalable, future-oriented data usage.
Our established solutions for life science & pharmaceutical companies
Our customers were concerned with these questions
- Which use cases have the greatest strategic impact?
- How can we establish agile data governance that complies with GxP standards and takes into account regulatory requirements from e.g. EMA, BfArM and PEI?
- How do we avoid delays in approvals and market entry due to a lack of data integrity and data fragmentation?
How we support your life science or pharmaceutical company
- Conducting data thinking workshops and maturity assessments to identify use cases with the highest added value
- Development of a holistic data strategy with a top-down and bottom-up approach
- Establishment of role and authorization concepts for data ownership & governance
Success stories
We have developed a central data strategy for RheinEnergie that is interlinked with corporate and divisional strategies. The strategy promotes a decentralized data culture and strengthens self-service and governance - as the basis for scalable, future-proof data usage.
Our customers were concerned with these questions
- How do we integrate data from heterogeneous sources (ERP, CRM, laboratory, IoT, market data) centrally and fail-safe?
- Which platform architecture supports international approval processes and cross-location research?
- Which data architecture enables complete data lineage, audit trails and GxP-compliant logging?
How we support your life science or pharmaceutical company
- Development of scalable, cloud-based data platforms
- Development of robust data pipelines for automated data integration of LIMS, production systems, ERP, CRM & EHR
- Automatic monitoring, logging and audit trails to ensure data quality in a regulatory context
Success stories
For evm (Energieversorgung Mittelrein), we have merged and harmonized data from historically grown systems and enriched it with external data. The modular data modeling approach enables future extensions, and the modern lakehouse structure forms a stable basis for AI initiatives.
Our customers were concerned with these questions
- How do we automate our reporting to save time in controlling?
- How do we recognize market trends or security risks at an early stage?
- How do we create a uniform reporting structure for all departments without analyses losing precision?
- How do we support our specialist departments with self-service analytics and role-based access?
How we support your life science or pharmaceutical company
- Development of interactive dashboards for research, production, quality assurance and sales
- Development of self-service BI incl. governance and training concept
- Setting up automated alerts for critical changes (market access, supply chain and clinical trials)
Success stories
We laid the central foundation for data-driven analyses for RheinEnergie. Data thinking workshops and structured use case development created a clear roadmap for BI applications and self-service analytics. For evm, we created a 360° customer view by setting up a customer data platform.
How we have already successfully supported other life science & pharmaceutical companies
.svg)
taod has helped us to organize our data in our area and create good Power BI reports. We now have a clear and user-friendly overview that creates transparency about the data situation. It enables a better understanding of the correlations, supports well-founded decisions and facilitates the coordination of common goals.
The business was provided with in-depth transparency and further analyses in order to address recognizable opportunities for improvement in the respective specialist departments and then implement them together. Overall, the project was a complete success from Dexcom Germany's perspective.
Dexcom
Our solutions for grid suppliers
Transparency about network investments & maintenance measures
We provide an overview of investment planning and maintenance - from medium voltage to local grid level. With comprehensible data and visualizations for technology, controlling and regulatory reporting.
Ensuring grid stability through intelligent processes
We support the implementation of legal requirements such as Redispatch 2.0 - with sophisticated data processes that reliably link generation, grid operation and planning.
Integration of geodata & spatial reference in BI landscapes
We integrate geodata into existing BI systems - e.g. for network expansion planning, capacity estimation or location decisions. In this way, spatial reference becomes an integral part of data-based decisions.
Reliable automation of market communication
We make market processes such as supplier changes, MaKo2024 or format changes robust and maintainable - through clean data structures, automated test tracks and clearly defined workflows.
Data-based control of grid connections
We help to structure and accelerate data-based grid connection processes for PV systems, charging infrastructure or heat pumps - with automated preliminary checks, bottleneck checks and transparent monitoring.
Cross-project reporting governance
We help you set up a consistent reporting landscape across projects and specialist departments - with coordinated key figures, clear processes and sustainable data maintenance.
From strategy to self-service: how we support life science and pharmaceutical companies on their data journey.
Define status quo & use case
We work together to develop a target picture, define roles, use cases and a roadmap - tailored to your existing systems and your strategic goals.
Modernize infrastructure
We create the technical basis with a scalable, maintainable data infrastructure.
Automate processes
Data pipelines, reporting lines and quality checks are automated - for stable data flows and consistent evaluations.
Empowering teams
We make your departments fit for data - with targeted enablement in Power BI, Tableau & Co. so that you can work independently in the long term.
