What is Master Data?
Master Data Management (MDM) solves business challenges
To address critical business challenges like high operational costs, undifferentiated customer service, high risk associated with regulatory compliance, the need to introduce new products quickly, and the inability to cross-sell and up-sell, MDM provides a trusted view of critical entities typically stored and potentially duplicated in siloed applications - customers, suppliers, partners, products, materials, accounts, etc. MDM is a discipline that provides a consistent understanding of master data entities, and their relationships and hierarchies.
MDM is a key component for addressing big data challenges. Half of the big data initiatives today have customer-centric objectives. To improve the customer experience, organizations need to do what master data management has been doing for years – start with the facts about customers by defining the golden record.
Why IBM InfoSphere MDM?
The MDM advantage: Creating insight from big data
MDM plays a crucial role in translating data into meaningful and useful intelligence. Together, big data and MDM can help CIOs and CMOs understand customers at an individual level and become more responsive to their needs.
Master Data Management for Big Data
Together big data and MDM can help extract insight from the increasing volume, velocity, variety, and decreasing veracity of data, in context, beyond what was previously possible.
Gartner Magic Quadrants
TDWI Best Practices Report
Next Generation Mast Data Management
Measuring the Total Economic Impact of IBM InfoSphere Master Data Management
Enhance Business Performance and Data Quality
with Process Oriented Master Data Stewardship and Governance