Global IDs delivers consulting services using a proven methodology and approach for implementing large scale data integration projects.

In the past, we have followed industry standard methodologies like

• Business Intelligence Methodology (IBM)
• Method/1 (Accenture)
• TDQM Methodology (MIT)

More recently, we have utilized our own methodology for Reference Data Integration. Our methodology offers a systematic approach to

1. Discovery of reference data
   
   
2. Aggregation of reference data
   
   
3. Integration of reference data
   
   
4. Synchronization of reference data.

The methodology captures our cumulative expertise in reference data and employs industry best practices. Using this defined logical approach, we believe that we have a positive impact on a client's information strategy and thereby generate business value.

Reference Data Integration Methodology

Most of the companies that we have worked for have significant data disparity issues. Typical problems include

1. Lack of knowledge of regarding reference data
   
   
2. Low quality of the reference data
   
   
3. Multiple copies of the reference data
   
   
4. Synchronization of reference data.
   
   
5. Absence of reference data stewards

In these projects, our goal is to deliver a single unified view of the reference data for

• Customers
• Suppliers and Vendors
• Products
• Employees
• Locations
• " + ~200 other reference data objects

For More Information on our Reference Data Methodology, click here.