Database Reference
In-Depth Information
TABLEĀ 6.2 (CONTINUED)
Oracle's Master Data Management Tool Suite
Oracle Product Hub
Oracle Product Hub enables organizations to centralize
product information from heterogeneous systems, as well
as eliminate the challenge of fragmented product data.
The end result is a trusted, single view of products across
the enterprise.
Oracle Site Hub
Oracle Site Hub is a mastering data solution focused on
solving the problems of distributed, fragmented,
incomplete, and inconsistent site data.
Oracle Supplier Hub
Oracle Supplier Hub empowers applications with the
ability to unify and share critical information about an
organization's supply base. Consolidated supplier
information enables companies to quickly onboard,
evaluate, and manage suppliers.
different parts of its operations, which is something that can occur in large
organizations. A common example of poor MDM is the scenario of a bank
at which a customer has taken out a mortgage and the bank begins to send
mortgage solicitations to that customer, ignoring the fact that the person
already has a mortgage account relationship with the bank. This happens
because the customer information used by the marketing section within
the bank lacks integration with the customer information used by the cus-
tomer services section of the bank. Thus the two groups remain unaware
that an existing customer is also considered as a sales lead. The process of
record linkage is used to associate different records that correspond to the
same entity, in this case the same person.
Other problems include (for example) issues with the quality of data,
consistent classification and identification of data, and data-reconciliation
issues. Master data management of disparate data systems requires data
transformations as the data extracted from the disparate-source data sys-
tem is transformed and loaded into the master data management hub. To
synchronize the disparate-source master data, the managed master data
extracted from the master data management hub is again transformed
and loaded into the disparate-source data system as the master data is
updated. As with other Extract, Transform, Load-based data movement,
these processes are expensive and inefficient to develop and to maintain,
which greatly reduces the return on investment for the master data man-
agement product.
 
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