Master Data Management & CDI

Finding the right facts…

The only constant in business today is change.

·         14% percent of the nation’s population changes addresses each year making customer information in many databases obsolete.

·         Incorrect or duplicated customer information costs corporations more than US$600 billion annually

·         In 2007 alone, poor quality data will cost the insurance industry US$14 billion and the banking industry US$27 billion in operating costs.

We know change not accurately reflected in an organization’s data records—and pushed out to all the systems and processes that depend on those data records—can result in a very expensive costs of doing business. Finding the right view we now realize the need for a single view of the master data on which our partner’s business decisions can be based with a reasonable degree of confidence.

Xcelligent believes managing this challenge offers a multi-view approach to achieving the “right” view. Using a unified understanding of data to implement a series of changes to architecture, systems and processes provides for automatic collection, dissemination and validation of the data stored in various places can help assure that their master data is consistently presented in the right view, to the right people and processes, at the right time.

With a solid master data management solution in place, your organization can expect:

·          Improved customer satisfaction due to complete, current, and correct data about themselves

·          Ability to bring new products to market quickly

·          Reduction in billing errors and lost opportunity, improving revenues

·          Preventing depleted or overstocked inventory

·          Minimizing the costs of wasted postage due to incorrect addresses

·          Improvement in critical process cycle times lost in manufacturing or distribution due to inaccurate parts ordering

·          Reducing regulatory exposure to fines and penalties due to noncompliance.

Xcelligent provides the processes and tools which centrally and persistently define the key entities of an organization (reference data) to manage the collection from, and supply to various processes, of unique instances of each entity. Understanding and leveraging uniqueness can eliminate outright redundancy due to collection of instances from dissimilar sources. Our reference model includes processes to source identification, data collection, data transformation, normalization, rule administration, data storage, a use within a service-oriented architecture, as well as relevant and timely data governance.

Solving for this challenge will depend on the nature of your organization. Common in the commercial business are application to customer (also known as Customer Data Integration), product (Product Information Management), employee, and vendor. We will help you identify the sources from which descriptions of these entities can be collected. We can help you ensure the descriptions conform to standard formats and data domains, so that duplicate instances of any key data record can be removed. The result of these processes would create an organizational asset from which all requests for a certain key data records can produce the same description, irrespective of the originating sources and the requesting application or consumer.