Data Quality - the basis for good BI

Usually companies learn about the importance of data quality management in the worst possible way – by dealing with the issues generated by the lack of it, and addressing data errors, data movement, and unstructured data after many costly problems. If your data is lacking in quality, everything you learn from it is useless, as information cannot be trusted. Without accurate customer and performance insight you will never be able to see what areas of your business need to improve. Data Quality Management solutions allow you to integrate, transform, improve and deliver trusted data that supports critical business processes and enables sound decisions. As you expand into new markets or develop new products this will become even more important, as the more data you gather, the easier it is for problems to start occurring.

With SAP Data Services you can enjoy a single solution that encompasses data integration, data quality, data profiling, and text analysis. This will allow you to deliver trusted data that supports critical business processes and enables sound decisions.

To give you an example of the importance of data management, Vodafone Netherlands sought the help of Clariba to implement key reports within a maintainable BI solution while automating report generation and distribution and also to develop a dashboard with key indicators for management. However, the first phase of this project focused on ensuring that trusted data was provided from the current databases to the BI solution. Complex queries were streamlined and redundant data sources consolidated. Subsequently BusinessObjects universes were developed for the central data warehouse and the CDR data mart. Only when the relevant data sources were available, with good quality data, the Clariba team went on to develop the reports and dashboard.

Learn how SAP Analytics Solutions can help your company with its data quality management, making quality your goal. Contact us on or leave a comment below.