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Master Data Management (MDM)
The outcome of the MDM program is an aggregated, sterilized repository of reliable, reconciled master data. This feeds analytical and operational applications across your business.
Manthan’s MDM service yields a synchronized, consistent and unified view of you business data, by providing an extensible platform for integrating and managing master data. But first, we perform the following crucial steps:
- Identifying relationships, interfacing with different kinds of data sources in different operational modes (e.g., batch vs. real-time).
- Providing governance support for data management continuity across the entire master data life cycle.
- Allowing for reliable synchronization of master data across different applications as well as data exception handling.
Offering you a platform that’s rapidly adaptable to changes in the business environment, Manthan’s MDM services help you overcome business challenges like:
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Covergence of BI and Business Applications
Manthan Systems was featured as a vendor in gartner research 'Dealing with the convergence of business intelligence into retail business applications' (26 March 2007), focusing on the trends in business intelligence (BI) capabilities such as analytics and reporting are being made available in business applications. Gartner says “decision support for retail operations has traditionally been housed in business intelligence (BI) tools. However, it is increasingly being made available within business applications (BAs), and business intelligence teams may be missing out.”
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- Providing identity recognition and identity management.
- Capturing identifying attributes and related metadata.
- Reconciling matched data into a best version of the truth.
- Delivering unified views of transactions.
- Synchronizing master data changes reliably.
- And much more.
Our MDM process involves organizing and validating data, normalizing it, classifying it, sterilizing and inoculating it, enriching and finally publishing it. What’s more, the program provides critical aspects including:
- Inventory of data objects throughout the business.
- Identification of key data objects that need to be migrated into a master repository.
- Resolution of semantics.
- Establishing hierarchies and object relationships.
- Facilitating standardized information extraction, sharing and delivery.
- A quality-directed migration process for consolidating the “best records” for the master repository.
- A services-oriented approach to exposing the consolidated master directory for access.
- A governance framework for managing continued integration.