Data Quality Framework
DATA QUALITY CAN BE SO SIMPLE!
A powerful framework for the SAP data quality enthusiast that leaves nothing to be desired!
PLAY IT SAFE! WITH THE DATA QUALITY FRAMEWORK BY PARICON
It is no longer a secret: data is valuable. A good, high-quality database provides the basis for valuable data science and data analytics approaches, but is also the prerequisite for smooth, highly automated business processes and data supply channels. But what do you do when the data first reaches complex SAP systems via various channels, which change with every release over time? This is where our Data Quality Framework comes into play. It can be used to implement data cleansing initiatives with little effort, as well as to implement data quality rules in day-to-day operations. DQ rules are easily configured in a central framework and linked into maintenance dialogs or batch processes. Necessary data corrections are, if possible, performed rule-based or - if necessary - assigned to the right departmental employee for review and correction via a workflow and a comfortable correction cockpit. The Data Quality Framework has everything you need to sustainably increase data quality in SAP systems - and it is uniform for all SAP platforms.
DATA QUALITY FRAMEWORK BY PARICON
Rule set for simple, graphic-supported modeling of DQ and correction rules
Powerful integration tools for data selection and integration of DQ rules in Uis, batch processes or provision as services
Definition of functional and technical error categories and assignment to organizational units or employees
Workflow function for distributing test results and generating test cases
Cockpit for manual, audit-proof post-processing of error case
Approval workflow and dual control principle for rule-based and manual corrections
Flexible role and authorization concept
Convenient reporting option for evaluating DQ and correction protocols
OUR SOLUTION APPROACH MAKES IT POSSIBLE TO CARRY OUT THE TECHNICAL IMPLEMENTATION WITHOUT WORRIES. ENSURING HIGH DATA QUALITY WITH MINIMAL IMPLEMENTATION EFFORT ARE THE UNIQUE SELLING POINTS OF THE DATA QUALITY FRAMEWORK.
Of course, the efficiency of the Data Quality Framework is greatest where the data quality of particularly success- or risk-relevant information is increased. SFor example, DZ BANK uses the solution to check completeness and to reconcile the accounting and financial management process. Errors and anomalies are forwarded via workflow to the responsible employees from business and IT. Comprehensive DQ reporting provides transparency at all times regarding the quality and status of the accounting process. The Data Quality Framework also provides important services in the area of material master records: the retail specialist EDEKA not only loves food, but also good data quality - thus enabling the highest degree of automation and minimum error rates in material logistics. This is achieved through the solution's DQ rules and regulations, which continuously ensure the quality and completeness of the data through validation and rule-based correction
BENEFITS OF THE
DATA Quality Framework BY PARICON
The Data Quality Framework allows you to increase the data quality - and thus the utilization level – of your SAP systems with minimal effort. Start where the benefits are greatest and achieve instant quick wins. Using proven analysis methods, we help you identify the areas where poor data quality causes the greatest costs and risks - and vice versa.
Full SAP integration enables user-friendly operation in the configuration and execution of DQ rules, fast training of SAP-affine employees, no special know-how required.
Comprehensive DQ content, e.g. for checking completeness and technical consistency, as well as implicit access to all SAP data, value tables, etc.
Complete data processing in the SAP system enables complete transparency of all processing steps and audit-proof documentation, comprehensive monitoring of the entire process, good coordination and the use of the integrated SAP authorization system, supplemented by separate DQ roles.
Quick adaptation without development; Copy and versioning function enables the fast and traceable extension of the set of rules. Extensive parallelization and scaling options offer considerable runtime advantages and enable DQ checks in real time using HANA-optimized read accesses.
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