Data Quality Management (DQM) with SAP BW

The Challenge: efficient & central Data Quality Management

New IT innovations such as the Internet of Things (IoT) or the mobile Internet increase the data volume at an enormously fast pace and also confront your company with very great challenges. In times of big data, more than half of all companies consider the quality of their data to be critical for business decisions. Poor data quality leads to lower employee and customer satisfaction, but also to higher costs: manual quality assurance is about five to ten times more expensive than an automated variant.


It is difficult to measure and track success in a data quality offensive. Moreover, the result of a repetition is not always the same and the quality of the validation strongly depends on the user. IT must first create its own validation options. This creates further validation islands. Data entry checks take place in dialog, but in practice there are always cases where data has not been entered during validation, either through interfaces or alternative input options.


Data Quality Management of Big Data

The Solution: Data Quality Management by NextLytics on the basis of SAP Business Warehouse (SAP BW/4HANA)

With our solution, you can track and evaluate errors at a central point, view them over time and show each participant their data. You can quickly and easily create rules and also access a large pool of predefined rules - without programming knowledge.

With our DQM solution...

... you always keep the overview

... pave the way to consistent data

... you can keep track of errors once they have been detected

... you can make better decisions based on correct data

... eliminate errors and reduce costs

The sentence "You can't improve without measuring" also applies to your data quality. With our solution, however, you can automatically record defects, compare them with the last analysis result and thus determine which defects are new and which were already present. This is the only way to improve your data sustainably and continuously.

Data Quality Management

SAP Business Rules Framework (SAP BRFPlus) and SAP Hana Rules Framework (SAP HRF)

Our DQM solution can be based on both SAP BRFPlus and SAP HRF. Alternatively, the rules can also be made directly from IT in ABAP. Both frameworks can be used to create complex sets of rules that make the rules transparent and readable. Simple logics such as "if then else" can be applied within the set of rules. Dashboard conversion is usually done using the SAP Lumira Designer.

Täglicher Prozess mit Data Quality Management

Your Advantages

Vorteile von Data Quality Management
  • You can easily create rules for several source systems (existing in the SAP Business Warehouse) in a central location
  • Errors can only be relevant for reporting, since only one key figure formed in reporting is falsified, but it does not in itself pose a problem in the previous system.
  • You can track errors and measure your success in troubleshooting.
  • How many bugs have been fixed, how many new bugs have been added or still exist? These questions are processed in the error statistics in a dashboard.

You'd like to know more about our Data Quality Management Solution?