Work with the business and Master Data Quality Manager to align the data cleansing and preparation activities according to the Migration Roadmap.Harmonization of functional and technical views on metadata for a joint understanding.Coordination of standardization of data models (incl. creation of project profiles, requirements analyses, technical (detailed) concepts, etc.) Project support from a master data management point of view (e.g.Central contact for data leads and maintainers in all regions/hubs for account master data issues in SAP not solvable locally.Central contact for Account master data domain owner with regards to operational data management in SAP R3 and S4HANA.Thanks to Niels De Greef for writing this article.įor questions or additional information on this subject, please contact Wouter Van Peteghem. very complex transformations), SAP Information Steward is a great option since it will reduce the time of creating a Cleansing Package and you can use the Match Review feature to consolidate the data coming from different sources. This way we can see which other systems might be impacted if anything would change on MDG side or vice-versa.Īlso if your consolidation process scenario is not covered by SAP MDG (ex. The Metadata management module of SAP Information Steward is also a great module to view relationships between SAP MDG tables and replication target systems. From the SAP Information Steward “Objects with Errors” a Change Request can be created that will be treated in the MDG system. In this blog, the Data Insight module of SAP Information Steward shows the data which did not pass the rules. One great example of the SAP MDG and SAP Information Steward integration, is the Data Quality Remediation scenario blog written by Steffen Ulmer from SAP. This transparent view can be used to: check the master data against changed business rules, check if pain points have risen in your MDG system or as a business case to start using SAP MDG. Using the Data Insight module of Information Steward, you can quickly get a transparent view on your enterprise master data. SAP MDG already provides a single, trusted view on your master data which greatly reduces the chances of creating faulty master data, but it still might be the case that this happens over time. Despite the fact that some of the functionalities of SAP Information Steward are already part of SAP MDG, both are still complementary to manage, monitor and improve the data quality into your organization. In our opinion, the simple answer to that question would be: “Absolutely!”. So you might ask yourself the question: “Does SAP Information Steward still brings an added value over SAP MDG?”. However, capabilities like standardizing and matching of duplicate data is already included in the MDG Consolidation process for BP (including Customer and Vendor) from MDG 8.0 and also for MM and Custom Objects from MDG 9.0. The result of the data profiling will be a scorecard in which you can drill-down to see the segments which scored poorly against your rules and even see the actual data which failed the rule checks.Īs you can see, SAP Information Steward provides a lot of utilities to identify data quality issues and increase data quality across your enterprise systems. Length of telephone number) or against rules that you created yourself using an editor. It allows you to profile the data source’s data against rules provided by SAP (ex. The Data Insight module is used to get a high-level data quality view on a particular data source (relational database, application or file). This is achieved by the following main features that SAP Information Steward offers: SAP Information Steward, which is a component of SAP BusinessObjects, is an environment to discover, assess, define, monitor and improve the enterprise’s data quality. We at Avelon are specialized in SAP MDG and in this blog we would like to give insight into how SAP Information Steward can increase your master data quality and its relation with SAP MDG. SAP’s solution that consolidates and centrally governs your master data is called SAP Master Data Governance (MDG). In a world where master data is increasing exponentially, enterprises now more than ever need to keep master data consistent and accurate across the organization to better perform key activities.
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