DataDialysis^®

At some point, users on active instances of SAP^® recognize data quality problems that stem from reasons as simple as users entering duplicate records manually.  These corruptions are often more than a blemish on the surface.  They indicate hours of manual corrective effort and misplaced orders that muck up integration of the system and in many manufacturing cases erode confidence completely.

We have perfected the craft of identifying the key master data interdependencies in an SAP environment and reconciling their completeness across the system.  The result is a road map and fixed set of benchmarks for improving data quality.  From there, we have the ability to manage the manipulation of records to clean up corrupted, inconsistent and incomplete objects.  We also have the ability to automate the process of correcting those errors in both SAP to SAP and Legacy to SAP environments.

The DataDialysis^® methodology is an iterative three part event of

1. Extraction
2. Reporting
3. Manipulation

We repeat this cycle refining and honing the data down to its pure components.  This process allows ongoing benchmarking and progress reports to clearly illuminate the progress in a centralized manner.

In addition, we can perform a DataDialysis simultaneously with a process improvement solution such as a user input application that validates new information against pre-existing SAP records.