According to a study by FIR e. V. at the RWTH Aachen University from the year 2018, the biggest quality problems of master data are their completeness, topicality and structure. The most common causes of poor master data are human errors, lack of understanding, lack of standardization, unclear responsibilities and missing processes. As a consequence of poor master data quality, respondents reported increasing internal queries, longer lead times, additional costs in operational processes and poor process quality. Bad master data has the strongest impact on production planning, sales and order processing and materials management / warehouse management.
Core Package
Procedure calls for common identities (read/write of entities) | Rules and rulesets freely configurable, possible use of read/write methods | Actions such as executing further rules, exit-conditions or message output freely configurable
Content Package Business Partner
Additional package to core package includes the most common derivation and validation rules and field properties control
Content Package Material
Additional package to core package includes the most common derivation and validation rules and field properties control
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Validate and enrich your master data with information from external providers. EVIMENDO.external_services enables you to connect external data sources, e.g. from business information agencies, geo data providers and many more, directly to your SAP system.
EVIMENDO.dqm provides predefined best practice rule sets for data quality management. The content packages, which are available for the master data objects Business Partner and Material, can be quickly and easily imported into your SAP DQM and can be used immediately.
SAP BRFplus or BRF+ (Business Rule Framework plus) is a standard SAP tool that separates business rules from coding. This means that the framework is not only aimed at developers, but also at business users and experts.