Successful Data Management requires much more than investment in technology—it also involves putting the processes and people in place to manage all aspects of the data lifecycle. Learn how Matrix Systems services addresses each of the key areas of data management and data architecture.

Data Management is to ensure that the proper processes and procedures are in place for the receipt, distribution, and tracking of technical data associated with the organizations’ project. We will evaluate the organizations’ existing and proposed software Data Conversion plans and procedures. A thorough review of the new and existing DM database designs will be performed to ensure compliance with the organizations’ system requirements and a successful system deployment. We will surface issues as early as possible and make mitigation recommendations as required. Data Management IV&V Approach: The evaluation will continue to be refined as decisions are made and issues are resolved. At a minimum, the following high level activities are expected: a) Initial process and data analysis b) Data and process mapping analysis c) Data conversion strategy analysis d) Data conversion security and controls analysis e) Pre-transformation analysis (if applicable) f) Conversion specification document analysis g) Conversion test plan analysis h) Conversion Program/Script/Software tool analysis i) Static Builds and loads analysis j) Trial conversion run (iterative cleansing and transformation analysis) k) Conversion Testing analysis l) Manual data correction strategy analysis m) Data conversion process analysis (as applicable) n) Post-Conversion error handling and manual correction of latent errors after go live analysis o) Pilot Program analysis p) Conversion reporting analysis q) User acceptance testing analysis DM-1: Evaluate the organizations’ existing and proposed plans, procedures and software for data conversion. DM-2: Verify that procedures are in place and are being followed to review the completed data for completeness and accuracy and to perform data clean-up as required. DM-3: Determine conversion error rates and if the error rates are manageable. DM-4: Make recommendations on making the conversion process more efficient and on maintaining the integrity of data during the conversion. DM-5: Evaluate new and existing database designs to determine if they meet existing and proposed system requirements. DM-6: Evaluate new and existing database designs to determine if they meet existing and proposed system requirements. DM-7: Evaluate the design for maintainability, scalability, refreshability, concurrence, normalization (where appropriate) and any other factors affecting performance and data integrity. DM-8: Evaluate the project’s process for administering the database, including backup, recovery, performance analysis and control of data item creation