Data Management
Data
like customer or product data are the most valuable assets an enterprise
owns. If they are of high quality they have a substantial impact on the
success of a company. If they get lost this can jeopardize the whole company.
Eigene Darstellung / Own PresentationIn
contrast to this paramount importance of data it is surprising to find that
the management of data is often not addressed appropriately or handled ad-hoc.
Obviously
you can find data definitions and standards or centralized data maintenance
procedures. But if you take a closer look the focus of these measures is more
on lowering the costs of data management but less on the aspect to reap more
benefits from the data. The graphic illustrates for exemplary measures where
the focus of data management is (click on graphic to enlarge).
A good example for demonstrating that many companies do not create benefits from their data is the topic data quality. If you take a closer look at data quality you often find that already clear criteria for assessing the quality are missing. In this situation data quality is just a subjective impression but not measurable and therefore not manageable. A typical example of poor data quality are data duplicates. They can create significant costs and risks. You can find an illustration for this in the information section. By just a simple check at data entry as part of a data quality check many data duplicates could be avoided.
Data
quality is a typical area that causes friction between business and IT. The
responsibility for data quality is often delegated from business to IT. But
only the business knows if the data has the right quality. The IT ensures that
data quality criteria are met using appropriate technology. If still quality
issues come up it is often not obvious what the root cause is and business
and IT start to blame each other for the problems.
Well-managed data are prerequisite for good processes. The service "Data Management" helps you to build an encompassing concept. In addition to the service description you can find more information about this topic in the information section. A document here deals with a central question - the benefits of data management for the business.
Service Description "Data Management"
Service
Description "Master Data Health Check"
Rationale
for "Master Data Health Check"
Exemplary Master Data Management Strategy, can be sent on request