|
You can refer Data Management for Data entities tool as part of our Data Quality Management+ Toolkit package. In brief, an organization needs to establish universal set of standards (domain value, data models and business rules) for data entities (like customers, vendor, invoices...) ensure that there is consistency in the way we process, store and interpret our data entities.
One mistake which people do (and sometime we at ExecutionMiH.com too) is to sound like if the data management is an IT subject. Nothing could be farther from the truth. Over 80% of the specifications on data standards have to come from business, whether they are used for automated or manual activities. Data standards are not only for defining the functional specifications for the automation, but also for manual processes, data entry forms, letters that we write to the customers, the business rules which are used by functions in their day to day basis. A good example of non-automated use of the data standards is a business rule for sales agent entity.
Business Rule- If a sales agent has not generated a new business over last 3 months, he or she will be considered as inactive.
This business rule will be used for the following purposes:
In other words, the data management standards are to be generated to meet the holistic business need and they do end-up supporting the data management and data quality agenda.
Therefore, if you see that data management standards definition being driven by IT, with occasional participation from business, one should re-look at the approach. It is possible that IT can do a home-work, based on their knowledge of the domain and what has already been in the system, but business should be taking the lead at some point of time.
|
