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Optimized data quality in heterogeneous enterprise architectures
The majority of IT infrastructures frequently consist of a system landscape with a variety of IT systems which have developed heterogeneously. Guaranteeing a uniformly high data quality with consistent data and data structures here is a real challenge which pays dividends if it is met, because if your IT systems make a contribution to providing a higher data quality in all business applications, the efficiency of your business processes and your competitiveness will be increased and the costs of data storage and maintenance appreciably reduced.
Higher data quality through Master Data Management (MDM)
- Ensure reliable merging of product data (Product Data Integration) and customer data (Customer Data Integration)
- Gain a single view of the customer for more effective customer communication, exploitation of up/cross-selling potentials and deeper relationships with customers.
- Reduce the costs of external services (e.g. for checking credit ratings), since customer information is already available in other areas (e.g. other companies of the group).
- Increase transparency in the case of changes of name or address through central maintenance processes which automatically provide all applications with the updated information.
- Secure more favourable conditions of purchase through transparent supplier profiles.
- Increase the data quality in applications, in which direct integration of data quality functions is not economically practicable (e.g. old systems)
- Centrally guarantee adherence to governance and compliance policies.
Flexible integration of data quality functions through Service-Oriented Architectures (SOA)
- Integrate data quality functions as Web services in heterogeneous IT landscapes.
- Use standardized data quality services in all input channels and secure high data quality across the company
- Obtain more flexibility and cost efficiency by providing data quality services on-premise, on-demand or in individual combinations
Applications and data quality service - on-premise, on-demand or in combination
- On-premise: Seamlessly integrate all solutions for Data Profiling, Data Cleansing, Real-Time Data Quality and Data Quality Monitoring in your IT infrastructure – ideal for the frequent use of particularly sensitive data or extremely large data stocks
- On-demand: Use the Real-Time Services as a data quality firewall and the Batch Services for Data Cleansing comfortably via the Internet as Software as a Service – perfect for your on-demand application (e.g. salesforce.com) or your locally installed application for occasional use or smaller data volumes.
- Combination: Combine the advantages of both concepts for your tailor-made solution and use Data Quality Solutions flexibly as and when required.
