Master Data Management (MDM) ensures the most critical information used throughout the organization is the most correct and up to date, always. An Enterprise Class MDM can be used to power anything from dashboards, to portals, to mobile apps, and business process management solution. It will create validated and sanctioned master data from disparate, duplicate, and conflicting data sources.
Historically, many MDM projects fail because legacy MDM requires tremendous overhead for:
- Maintenance support
The legacy framework is nearly impossible to maintain as the business changes. Failed MDM projects not only exceed budget but negatively impact business operations.
Leave that baggage behind
Enter: Agile MDM with Data Virtualization (DV)
Enterprise Enabler‘s Data Virtualization means you are going to have a light weight, secure, and agile secured Enterprise Class framework to define and maintain your “master” data easily. Instead of multiple copies of data, the original data resides in the sources of record and the data is delivered on demand with all the associated validations, federations, and transformations. Once a data master is sanctioned, the Enterprise Master is packaged by the platform in every consumable format that may be needed, such as ODBC, JDBC, REST, SharePoint BCS, Odata, ADO.Net
MDM workflow supports multiple user constituencies. To learn more about this topic by checking out this CTO Blog.
Business users describe the data they require.
- The IT users configures the master data entity
- The Data Steward sanctions or rejects the master data entity
- The end users select entities for BI or other uses
The Agile Master Data Management Solution
Stone Bond’s unique data transformation engine and caching capabilities delivers Agile MDM in days— non-intrusively, inexpensively, and flexible. With Enterprise Enabler Agile MDM customers can either build a brand new MDM framework or complement their existing MDM solution.
- Flexibility—Although your business may first buy a product for one type of data integrity problem, you should be able to use that solution to solve additional ones.
- Built for data variability— A solution needs to handle multiple data types: structured, unstructured, disparate, internal, or external.
- Scalability from small to big projects—Many MDM problems are exceedingly complex. But you don’t want to take a year for the initiative to get off the ground. You want the ability to break down a data problem into smaller components.
- Configurable—An MDM system shouldn’t require coding, which comes with testing and maintenance headaches.