Data is a strategic
asset and business
component.
For correct and timely management decisions and the further development of a company’s business, it is essential to have comprehensive, correct and the latest data available.
Data management includes technologies, processes and measures. These aim to ensure a data life cycle that delivers maximum benefit. Data must be collected, appropriately stored, processed and continuously monitored for integrity and consistency. Data management can be implemented comprehensively or incrementally by individual logical units. Each of these independently delivers a major benefit for a company’s core business.
Data integration
The integration of various data sources into operational and management processes enables the organization to obtain comprehensive and reliable information when needed. The target status is data sources integrated so that processes are centrally controlled, and respective data transfer is maximally monitored, auditable and automated.
Data quality
Data usability is significantly limited by data quality. The introduction of a solution to ensure data quality includes setting its criteria and evaluating fulfillment, introducing data cleaning procedures, as well as monitoring the development of data quality.
Application Integration
Application integration involves linking software applications to enable real-time data sharing. It includes the development and management of API interfaces.
Master Data Management
Master Data Management (MDM) is the process of managing and governing core data and centralized reference lists. It ensures the consolidation and sharing of high-quality master data across an organization and its heterogeneous information systems.
Metadata management
Metadata management involves processes and tools used to describe organizational data—covering aspects such as source, format, structure, and meaning. Effective metadata management helps organizations utilize their data more effectively, improve quality, and enhance collaboration.
