Need for Data Testing
of SAP Applications

Data integrity, completeness, and validity are key drivers for successful implementation and continued value creation from out of SAP platforms to their fullest potential.

For complex business processes and for business analytics, it is common to find data movement between SAP platforms (SAP ECC to SAP BW, SAP BW to SAP BPC and APO, SAP ECC to SAP HANA etc.) and across SAP and other business process applications or databases (RDBMS, Flat files, JSON, XML, EDI etc).

It is vital that all data flow work at all times and without disruption. The more complex the environment, the harder it becomes to ensure data integrity is maintained across every enterprise application. RightData™ makes it possible to maintain the integrity and validity of data across systems and applications in your enterprise.

How is it done today ?

The typical data testing strategies include the use of manual sampling, custom developed data testing, validation, and reconciliation processes. Manual sampling does not provide complete coverage and hence cannot guarantee that 100% of data is tested for each data flow during the integration, regression, and user acceptance testing of project implementation phases. Creating a custom developed data validation and reconciliation process for every data feed will impact project schedule and cost. Hence the current SAP data testing approaches are often proven to be ineffective, time consuming and expensive.


Rightdata’s SAP Data Testing

RightData™’s proprietary adaptor logic empowers data stewards to easily query SAP DataSources (ECC, S/4 Tables, Table Joins, SAP BW/APO/BPC InfoCubes, DSOs, InfoObjects, BEx Queries), and configure, execute and schedule the SAP data reconciliation and validation scenarios. It allows automating the validation, verification and, reconciliation of data between SAP and/or non-SAP platforms.

RightData™ provides an automated, configurable method of data testing to gain efficiency and improve quality by increasing data testing coverage, accelerating project execution, resulting in reducing the TCO and total cost of SAP implementations.