CDI, MDM, DQ: Points to Ponder.....
Most of you must have already heard about the popular acronyms like CDI, MDM and DQ. In case, you haven’t, they are Customer Data Integration (CDI), Master Data Management (MDM), and Data Quality (DQ).
Let me start with definitions, and then try to explain the relationship among the acronyms.
Master Data Management (MDM) is a set of processes, and tools that deal with non-transactional reference / master / data entities of an organisation. MDM at an enterprise level ensures that master / reference data is collected, aggregated, de-duplicated, standardised, and arranged in a federated / centralised fashion. It is also called as Golden Source of Data in some organisations, and provides data services to downstream applications that use in transactions. In business terms, MDM offers a single source of Master data like customers, products, employees, regions, etc., along with their hierarchies, contact information and other attributes. Sometimes, the hierarchies are maintained in a chronological manner to reflect historical changes.
Customer data integration (CDI) is a set of processes, and tools that consolidate and manage customer information across source applications, which provide immense value to the users who seek the complete view of the customers.
Data Quality (DQ) is a set of tools and processes, such as profiling, scrubbing, standardisation, and de-duplication, to ensure that the quality of the data is appropriate for the business users to make decisions.
If you look at the interdependence of the above-mentioned acronyms, it shows MDM precedes CDI implementation. But for both MDM and CDI, we need DQ.
More later, on the business scenarios around the acronyms.....
Customer data integration (CDI) is a set of processes, and tools that consolidate and manage customer information across source applications, which provide immense value to the users who seek the complete view of the customers.
Data Quality (DQ) is a set of tools and processes, such as profiling, scrubbing, standardisation, and de-duplication, to ensure that the quality of the data is appropriate for the business users to make decisions.
If you look at the interdependence of the above-mentioned acronyms, it shows MDM precedes CDI implementation. But for both MDM and CDI, we need DQ.
More later, on the business scenarios around the acronyms.....
