What is Data Quality Management?

Enterprise Data Quality Management

It is a complex but necessary set of actions to create a robust Data Quality and Master Data framework. Without the commitment and senior leadership support and funding, your data quality will be suspect and might cause you to become vulnerable. Therefore, looking at data from the enterprise level and then working downwards is an excellent approach for ensuring that what is needed is of the quality required.

Shift-left from the customers you are serving or from the outcomes of internal work tasks to see if the data meets expectations. Product management, DevOps, Agile, and ITSM thinking can provide the basis for your enterprise data management policies, rules, and tools. Once in place, you can begin to broaden the scope of data usage to include customer behavior, competitor status, issues seen at other companies that you might be able to fulfill (first to market), and more.

Data profiling is like the detective work you see on TV shows. Is your data matching the rules needed, and if not, why not? These inconsistencies will be where you must cleanse and repair data as soon as practical. One way of implementing data profiling is by having an application or product-to-application product checker. Another is via a business glossary of data and terms used within your enterprise. Your data management consulting partner can provide templates and guide you as to how best to create and control your data such that it is always ready to be used by a taskor underpin a decision based upon the outcome of data analysis.