Assessing the levels of data quality in source operational systems, and  perform formal Data Quality Assessments and build the necessary Data Quality components to Cleanse and Monitor selected data sources in the business.

Since implementing the Oracle Enterprise Data Quality application in Production, the South African Post Office (SAPO) rating for the Customer Data Warehouse went from an average of 50 to 60?curacy to an average of 95% to 97?curacy .

Assigned the Project Techinical Lead, this included Systems Analysis, Data Quality and data migrations from various source systems from around South Africa. I was the lead to kick-off this project with a team of 8 members, my duties where to train my team up on the oracle technologies that where to be used and supervise the installation and intergration of these technlogies with the already exsisting infrastructure.

Setup a working subversion repository for version control for the Oracle Enterprise Data Quality code and SQL code. This version control is used for the System Development Life Cycle (SDLC) release procedure, of the code through the different environment’s going forward.

This version control feature is used as an Audit feature.

Create Data Migration Mappings using SQL Server.

Create mapping for application integration with The Foschini Group SAP and GL systems, using SQL Server.