The Data Factory provides two key capabilities to our clients
The Data Assessment capability will be set up to examine data in the SAP Production instance, plus offer our clients the ability to assess Data Quality by allowing a template-based approach to assessing data – that is, the client can push their data into a standard template and it can be assessed, rather than having to build a method for extracting the data from the source system.
The Data Migration capability offers our clients the capability to rapidly migrate data to SAP systems by again allowing data to be put into standard data templates.
Testing of these two solutions will be done by “plugging data in” to the Data Factory and confirming that the outcomes are as expected.
For Data Quality assessment, Seed Analytics will review the Data quality of data in SAP production, delivering Data Quality Dashboards and Data quality reports for key Master Data elements (Domains), we have 13 Domains. Example Customer, Vendor, Material, Work Centre and Functional Location. Seed Analytics will execute this data quality analysis twice to prove that we have a repeatable process.
The savings introduced by the Data Factory are characterised by:
The reduction in effort for the data team is because there is less work to do for data preparation and for load preparation. Seed Analytics anticipates at least a 60% reduction in effort required for future projects.
The reduction in effort for the business is because there is less work to do to obtain data and get the data loaded into SAP to do the testing of the data. Seed Analytics anticipates at least a 25% reduction in effort from business to complete project activities (definition, testing, sign-off) due to availability of templates, reuse of rules defines in previous projects, and higher quality data being test measured in FTE labour cost reduction and business recharges to projects.