Master Data Manager

IBM® InfoSphere® Master Data Manager meets all of your MDM needs across all domains, use cases, and implementation styles creating trusted views of your master data assets.

 

What Does It Do?

  • MDM manages the entire lifecycle of your master data – product, customer, citizen, supplier, employee, service, asset, financial, location etc
  • It provides for all implementation styles - virtual, physical master repository, hybrid, and collaborative authoring
  • It provides a complete framework to accelerate development of MDM powered applications for making accurate, complete master data available to end-users together with policies and multi-step, multi-role workflow for data stewardship and data governance and pre-built, modifiable or build-it-yourself capabilities.
  • Pre-built and extensible data models for any domain – includes a physical and logical data model that supports cross-industry, multi-domain (party, product, account and so on) requirements and is enhanced by industry-specific templates.
  • It provides tooling  to build and change data models, services, inspect and resolve data quality issues and a Master Data engine for highly accurate probabilistic matching and searching
  • Integrate with multiple batch and real-time options - provides pre-built, coarse-grained and fine-grained services that accelerate and reduce the risk of integration with multiple applications such as CRM, ERP and web portals where accurate MDM is a pre-requisite.

How Does It Do It?

  • Support for all MDM implementation styles – virtual, physical or hybrid master registry.
  • Support for MDM-powered applications through pre-built blue prints and widgets for embedding within existing applications.
  • Allowing governance and quality resolution real time, including relationships and hierarchies.
  • Addresses data quality through native capabilities for the cleansing, matching, linking, and semantic reconciliation of master data from different data sources to create and maintain the golden record.
  • Provides workflows to improve data quality through capabilities necessary to implement and coordinate multi-step and multi-role workflow for data stewardship and data governance.
  • Provides reporting via pre-built and ad-hoc customised reports.
  • Automates loading via multiple flexible options via business services in batch or real-time.
  • Is easy to integrate since it is designed to run in a heterogeneous environment, but is also pre-integrated with IBM products and which enables synchronisation since it maintains keys on master data held within other systems for all objects and attributes within the MDM hub as well as importing and exporting of deltas and versioning.
  • It addresses multiple aspects of security relevant to an MDM implementation, including logging, authentication and access control, privacy and preference management, and auditing.

Why Is That Useful?

  • MDM improves customer service, lowers costs, reduces waste and risks, while meeting current and future business needs
  • It integrates quickly into any infrastructure ensuring delivery of trusted master data to downstream data warehouse, analytics and business intelligence systems in formats they can consume natively
  • It provides a platform to replace manual tasks and automatically deliver accuracy, scalability and speed in creating and maintaining a trusted system of record, in real-time, and on an ongoing basis
  • Pre-defined and custom Data Hubs and Data Models reduce development and maintenance effort and therefore time to benefit
  • A Multi-Hub Architecture allows users to model and master multiple data domains (party, product, location, etc.) within a single Hub instance, which is well-suited for a “hub-of-hubs” environment where regulatory constraints, or M&A activity requires multiple MDM hubs