How MDM and Big Data can enhance each other

[shukla7789]

Understand and compare the characteristics of MDM and Big Data to learn how together they can improve decision making and discover new competitive advantages.
Today, data-intensive organizations continue to proliferate . These are environments where there are multiple data sources , making it difficult to manage related information. Customers, products, suppliers, finances, and many other similar entities have their data spread across a variety of data sources.


Master Data Management , better known as MDM, is critical to ensuring the cleansing, standardization, matching, and integration that governs these enterprise assets. Ensuring that data remains uncorrupted , up-to-date, and offering a “single version of the truth” is critical. At the same time, everything related to MDM could be hampered by ever-increasing amounts of big data – petabytes and even exabytes – originating from different sources and including semi-structured and even unstructured data formats.

While Big Data is always on the minds of every CIO, it rich people database very different challenges when compared to MDM. Understanding and comparing the characteristics of MDM and Big Data, and determining how each can inform and enhance the other , can lead to fresher, deeper insights and more concrete actions that can be taken to drive the right strategies , improve decision making, and uncover new competitive advantages.


Master Data Management: Creating a Master Data Strategy to Drive Business Outcomes


Comparing MDM and Big Data
Goals
MDM : Provides a single version of the truth for all master data, improves data quality, reporting, dashboards and analytics, and automates data quality and reconciliation using the right tools and processes.
Big Data : Ephemeral by nature and disposable if not useful. It is capable of constantly discovering new behaviors and points of view. It allows for rapid data incorporation (from offline to online).