Data Solutions
Data Quality& MDM

The concept of master data management emerged to address and organization need to standardize its data and how it is used b different stakeholders.
Due to the proliferation of operational applications, the same data elements exist in multiple location in the technology infrastructure.This creates a number of issues that include data definition, usage and consistency.

A data element, used in various applications, is likely to mean different things in each of them. For example, organizations find it difficult to agree on the definition of very important entities like customer or supplier. Additionally, each data element will have its own attributes and validations.

Realizing that inconsistency in master data, like customer supplier, organization and product data can cause businesses major losses, master data management solutions emerged.
Initiatives to resolve data quality issues tend to address existing and previous issues that exist in the organization data set.
However, they rarely consider future potential data issues. MDM solutions, properly implemented, do address such issues.

To effectively implement MDM in an organization, careful consideration of the impact on the current application footprint is critical.

The impact of implementing MDM can range from simple data replication to invasive application decoupling from its existing data model.

Datability understands such challenges and has both the expertise and the vendor relationship needed to effectively implement data quality initiatives as well as MDM solutions.