The solution:
Data Quality Framework from paricon
Low implementation costs and maximum flexibility in the implementation of your data quality management are the unique selling points of our framework.
Benefits of the paricon Data Quality Framework
Compliance
Complete data processing in the SAP system enables full transparency of all processing steps and audit-proof documentation, comprehensive monitoring of the entire process, good reconcilability and the use of the integrated SAP authorization system, supplemented by own DQ roles.
Useability
Full SAP integration enables user-friendly operation when configuring and executing DQ rules, quick training of SAP-savvy employees, no special know-how required.
Business Content
Comprehensive DQ content, e.g. for checking completeness and technical consistency, as well as implicit access to all SAP data, value tables, etc.
Performance
Fast adaptation completely without development; copying and versioning function enables fast and comprehensible expansion of the rules. Extensive parallelization and scaling options offer considerable runtime advantages and enable DQ checks in real time using HANA-optimized read accesses.
With Data Quality Management, you can increase the data quality – and therefore the degree of utilization – of your SAP systems with minimal effort. Start where the benefits are greatest and achieve immediate quick wins. We use proven analysis methods to help you identify the areas where poor data quality causes the greatest costs and risks – and where the benefits are greatest if you tackle them.
Security and performance – with the Data Quality Framework
It’s no longer a secret: data is valuable. A good, high-quality database provides the basis for data science and data analytics approaches, but is also the prerequisite for smooth, highly automatable business processes and data supply channels.
But what do you do when the data first finds its way into complex SAP systems via various channels that change over time with each release? 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 ongoing operations. DQ rules are easily configured in a central framework and integrated into maintenance dialogs or batch processes. Necessary data corrections are carried out rule-based where possible, or – if necessary – assigned to the right department employee for checking and correction via a workflow and a convenient correction cockpit. The Data Quality Framework has everything you need to sustainably increase data quality in SAP systems – and it is standardized for all SAP platforms.
Optimize your SAP data integrity
with our Data Quality Framework
Rely on a proven solution used by top companies such as DZ BANK and EDEKA to validate and correct critical data in real time. Our intelligent software not only ensures data quality, but also automates complex data reconciliations, minimizes error rates and promotes transparent data reconciliation. Achieve a competitive advantage with us through the highest data quality and completeness in all SAP systems.
Security and performance – with the Data Quality Framework
It’s no longer a secret: data is valuable. A good, high-quality database provides the basis for data science and data analytics approaches, but is also the prerequisite for smooth, highly automatable business processes and data supply channels.
But what do you do when the data first enters complex SAP systems via a wide variety of routes that change over time with each release? 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 ongoing operations. DQ rules are easily configured in a central framework and integrated into maintenance dialogs or batch processes. Necessary data corrections are carried out rule-based where possible, or – if necessary – assigned to the right department employee for checking and correction via a workflow and a convenient correction cockpit. The Data Quality Framework has everything you need to sustainably increase data quality in SAP systems – and it is standardized for all SAP platforms.
Set of rules for modeling: Intuitive and graphic-supported modeling of DQ and correction rules for easy handling.
Data management & DQ integration: Efficient data selection and integration of DQ rules in SAP maintenance dialogs, batch processes and as DQ services.
Error categorization & assignment: Precise definition of functional and technical error types with direct assignment to the responsible organizational units and employees.
Cockpit for error processing: Manual, audit-proof post-processing of error cases in the specialized cockpit.
Flexible role and authorization concept: Individually customizable system for role distribution and authorizations, optimized for security and efficiency.
Approval processes & security: Approval workflow and dual control principle ensure the integrity of rule-based and manual corrections.
Workflow management: Automated distribution of inspection results and effective generation of inspection cases.
Extended reporting: Convenient tools for evaluating data quality and correction logs.
See for yourself!
Implementation of product PoC
Do you have any questions about the
"Data Quality Framework"
Achim von Lowtzow
Data Quality Framework Expert
achim.von.lowtzow@paricon.de
I would be happy to explain to you how you can use our Data Quality Framework to significantly improve your data quality and create the basis for highly automated and robust processing within a very short space of time.
