During the last decades, multiple companies worked on the expansion and continuing optimisation of their business process environment and its operating systems (e.g. ERP, CRM). In this regard, the topic functional, organisational and technical data quality/data flow has not been established permanently. However, a reliable information exchange – internal or with external partners (e.g. customers, suppliers) – can only be realised with high quality data. Hence, an efficient data flow is a critical success factor for process efficiency and represents a foundation for an integral support of business cases. As ‘data flow before material flow’ is common in logistics, ‘data flow before activity flow/process’ applies to business processes.

Our competence center ‘data management’ supports companies concerning information processing and information flow by…

• investigating the quality of core data, data models and dataflow in the application environment
• a reorganisation, optimisation and migration of data based on the data quality screening
  • in the existing application environment
  • during the implementation of new applications
• implementing an ideal dataflow from the operative applications to new or existing business intelligence solutions
• conceptualising and implementing ‘product-life-cycle’-projects (the link between CAD/CAM, PDM und systems engineering)

Steinbeis-Beratungszentrum
Electronic Business (EB)

Forschungsinstitut für
Rationalisierung (FIR) e.V.

We offer support with the help of well-established methods and services in the following areas:

• data analysis, data structures and dataflows
• data cleansing of defective data and harmonisation of heterogenous databases
• Setup of clear structures (e.g. of variants and versions)
• data migration
• implementation of ‘data services’
• organisational entrenchment of the data management as a company’s competence center by defining appropriate support processes, roles and key figures for a continuing data quality management