Sunday, 22 June 2014

IBM InfoSphere Master Data Management

With Big Data and Analysis forming a basis for successful enterprises, we still find many organizations where data is in silos.

For example, there is an organization, which runs Banking, Insurance and other businesses.  A customer have a Savings Account and three insurance policies with this organization.  For each insurance policy, the organization has given a Customer Id.  So this customer, has three Customer Ids and one Savings Bank Account Number.  To update any single detail, the update has to be done four times, one for each Customer Id.  If a customer updates only two of them, the organization is left with inconsistent data.

From the organization's perspective. If they keep holding a separate Customer Id for each insurance policy, the extent of data they have to maintain keeps increasing.  The extent of inconsistent data is unknown.  It is difficult to come up with a single view of a customer.

Having a single view of every customer would help organizations improve their revenue.  Suppose this organization is able to make out that customer A who has an Insurance policy also has a Savings Account, an option of direct debit from the account could be suggested to the Customer.  It would also be easy for the organization to get a complete view of the Customer.

IBM InfoSphere Master Data Management (MDM) is a solution that helps organizations to obtain a single view of each customer.  Master Data refers to data that is shared across the organization.  Hence in our example, master data refers to data about the customer. MDM provides capabilities to match and merge records from multiple sources. This master data can then be used across the organization.

For further details on the features that this product provides, please refer IBM InfoSphere Master Data Management

1 comment:

Raghavan said...


Post a Comment