SERVICES: Data Management

   •   Assessing Data Quality
   •   Strategic Planning
   •   Implementation (Installation & Training)
   •   Optimization (Support after going Live!)

Poor data quality is often the reason why CRM or data warehouse projects fail. CRM makes no sense without data quality, because the information production factor can only be exploited if the quality of your data is high.

Accurate data is essential in all areas of data processing. Names, addresses and other details must be right. If not, records are inaccurate and letters are returned - all of which costs you money. A standard method of representing the data is as important as accuracy of content, since otherwise it becomes very difficult to merge information from different databases.

The route to better data involves first establishing the existing data quality and identifying the relevant databases and metadata, including analyzing the typical content, codes and problem fields. Improving the content of your data also means structuring and standardizing the individual data elements.