Together, small data and multidomain MDM reveal new insights into your business
Over the past few years working in data governance, I have encountered many projects aiming to re-write decision making processes using ”big data.
When it comes to data-driven decision making, multidomain MDM is the ideal home to create insight and value from small data.
governed master data
Trustworthy decisions need accurate, transparent data, along with the necessary governance to make them informed and auditable
Small data describing the context of what is happening now, coupled with its corresponding master data, forms the basis for making better, data-driven decisions
The resulting combination of master data and contextually small data can be fed back into big data repositories, resulting in improved trend analysis
Correlated data must be accurate and unbiased to support cause detection
MDM provides the governance mechanism for the required transparency of both master data and the accompanying small data
Decisions supported by small data often find themselves at the intersection of multiple domains; for example, the customer (master data), their location (small data), the product (master data), their current basket contents (small and master) and the weather (small).