Data transformation: Company-wide data management as the key to digital transformation and new business models in the company
Industry: Manufacturing | Period: 1 month | Team size: 2 consultants
In the digital age, data management is increasingly becoming a strategic success factor for modern companies. The integration of digital services opens up completely new competitive opportunities, especially for our customer, an internationally active specialist machine and plant manufacturer. However, digital transformation and data-driven innovations require far more than technical systems or individual analytics solutions – they require company-wide and customer-oriented data management. However, the core business often lacks targeted expertise in governance, data management, data protection and the integration of IT & OT. This is precisely where our consulting provides the decisive leverage: it enables companies to meet all requirements for data quality, availability and corresponding data compliance and to map the entire value chain with data intelligently and securely.
Challenge: Data transformation - from data management to data business
- Lack of know-how: The core business has little experience with data-oriented management, data governance and data protection-compliant processes.
- Complex data and system requirements: A central data management system must be set up for the multitude of new data sources from IT and OT, a wide variety of systems and customer requirements.
- Bridges between business and technology: Processes, capabilities and technical data structures must be designed in such a way that company-wide analytics and data integration function seamlessly.
- Governance: Without clear governance models, responsibilities and data protection concepts, risks for data quality and compliance arise.
- Transformation and scalability: Scalable, customer-oriented data management is required for data-driven business models and digital services – the leap from traditional organization and transformation into new structures is the big challenge.
Success Journey: Three steps to effective data management
01
This forms the foundation for governance, control and data protection-compliant management.
02
This ensures analytics, data integration and transparency within the company.
03
Consulting and methodology enable the company to continuously launch successful data management initiatives.
Impact At Launch: Consistent and customer-integrated data management
- Overall structure for customer-integrated data management: Development of a company-wide, cross-IT/OT data management model including working model and data architecture.
- Role and responsibility model: Clear definition of who in the company takes on which tasks in data management and governance - from conception to data integration.
- Data structure and domain model: An integrative domain/business model combines business capabilities, use cases and technical enabling fields so that company-wide data organization becomes possible.
- Proven transformation program: Estimation and planning of the capacities required to anchor efficient, sustainable data management in line operations.
- Enablement of the customer: Consulting and methodology were prepared in such a way that the customer can continue the transformation and further development independently.
- Forward-looking planning for data quality and governance: High data quality is already ensured during the set-up phase, governance is the central guard rail for all processes.
Summary: Data management as the basis for digital transformation and innovation
Strategic and customer-integrated data management is essential for the digital future of the company. Governance, architecture and the networking of data sources are the key to meeting the requirements for analytics, data protection, processes and digital value creation. The transformation will succeed if companies take a holistic view of responsibility, processes and systems and combine them in an architecture that seamlessly integrates business and data. The success factor: sound planning, tried-and-tested methods and enablement that makes sustainable growth and digital innovation possible.
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- Strategic: Data management as a value driver - with clear governance, architecture and IT/OT integration.
- Secure: Our methods ensure data quality, data protection and compliance along all processes.
- Proven: Over 20 years of experience guarantee reliable and tried-and-tested implementation.
- Measurable: We create structures that increase efficiency, reduce risks and enable data-based business models.
- Holistic: We combine roles, processes and data to create a scalable data operating model.
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