IncRev Corporation  
Home     Careers     Contact Us       
 

Solutions




Master Data Management Solutions


Master Data Management Solutions


The enterprise needs visibility to all of the data contained in various enterprise systems, such as ERP and CRM, as well as data warehouses, but not all of the data required to run a business exists in these systems. In fact, the business's primary source of operational intelligence resides in the human knowledge repository of the company's workers. Effective integration of human intelligence is required if operational intelligence is to become a reality. The ‘human factor’ is why the Information Worker (IW) drives the MDM space. Typically the only way that companies could implement a MDM solution was to develop a custom application using existing tools and technologies in concert with a substantial services engagement.

IncRev Master Data Management solutions enable our customers to consolidate and harmonize their master data within heterogeneous landscapes. They have consistently delivered reduced data maintenance costs, ensured cross system data consistency, accelerated the execution of new business processes and greatly improved business decision making.

The IncRev MDM solutions have also proven to be an indispensable tool for implementing a service oriented architecture (SOA).

At IncRev we believe that in today’s complex and competitive environment where data is mushrooming at an exponential rate every company must have a Master Data Management (MDM) Strategy so as to provide a single unified view of the organizations Master data.

IncRev helps organizations in setting up business process and tools which will enable them to maintain and manage the quality and accuracy of master data (customer, product, vendor, etc.) across multiple systems and business units effectively.

We work with the customer organization:
  • To define and setup a data governance team
  • To understand existing business processes gaps and redesign the same to address data quality issues
  • To identify and define data hierarchies and data storage models,
  • To identify and define data transformational and normalization rules based on organizational or industry standards
  • Cleanse, transform and standardize the existing data and remove duplicates
  • Load standardized data into the organizational MDM repository for operational use
  • Monitor and Support the business processes, tools and technology used in implementing the MDM solution.