Complementary SAP Solutions for Data Management that Expand Core SAP Master Data Governance Capabilities

This blog is to give you some guidance on SAP solutions for Data Management that are complimentary solutions to expand your core SAP Master Data Management capabilities.  Read on…

SAP Information Steward is a market leading information governance application that helps companies define, assess, and monitor policies and data standards.  It is a single solution to both create and enforce policies and data standards. Pre-built integration with SAP Master Data Governance increases productivity of data stewards. For example, as part of their day to day management of master data they can drill down from data quality scorecards and see failed records and then with a single mouse click initiate a remediation workflow in SAP Master Data Governance.

SAP Information Steward

Note that companies that do not use SAP Information Steward for controlling master data quality can directly benefit from SAP Master Data Governance on S/4HANA, with its inbuilt features for master data quality management such as collaborative business rules management and master data quality analytics and remediation.  Additionally, there are master data rule mining capabilities that support master data experts in analyzing their master data for new data quality rules leveraging machine learning.  There is also prebuilt integration with SAP Analytics Cloud for data quality monitoring.

SAP Master Data Governance and SAP Analytics Cloud

SAP Master Data Governance provides an enrichment framework that enables any entity within a data model to be enriched by either an internal service such as SAP Global Trade Services for sanctioned party lists or an external service such as Dun & Bradstreet or Postal Directory services. This framework provides a seamless integration of the UI from the enrichment service to the SAP Master Data Governance change request workflow and UI. For example, SAP Data Quality Management, microservices for location data enables customers to perform address cleansing and validation against postal directories, as well as geocoding.

SAP Data Quality Management, microservices for location data

SAP Data Services and/or the SAP HANA information management option (SAP HANA EIM) are market leading data integration and data quality tools. These solutions provide capabilities for data integration, cleansing, de-duplication, and enrichment. Pre-built integration with SAP Master Data Governance speeds implementation, simplifies administration, and improves quality. SAP Data Services provides extensive data provisioning capabilities, including SAP and non-SAP packaged applications, RDBMS, non-RDBMS, flat files, XML, social data, big data, and GIS.  The pre-built integration with SAP Data Services also allows SAP Master Data Governance implementer to take advantage of 80+ cleansing transforms provided out of the box, plus domain specific support for party and address parsing, standardization, and enrichment across 240 countries and 27 cultural/regional domains. The SAP HANA information management option additionally provides a single solution for federation, integration, streaming, replication, and change data capture, utilizing in-memory processing for high performance and scalability as well as data quality capabilities like cleansing and matching.  Customers that choose to implement SAP Master Data Governance on S/4HANA can utilize these additional capabilities.  We are also enabling the SAP HANA EIM services to run natively in the Spark framework to better support customers’ big data infrastructures. In addition, we have a GitHub project to promote development of connectivity adapters from the 2.6 million active members in our developer community using our SDK where SAP doesn’t provide one. And we provide API management capabilities that enable developers to securely expose APIs and analyze usage and performance. Again, this is just a sample of the extended connectivity that is provided by SAP HANA EIM.

SAP Data Intelligence allows you to rapidly integrate and leverage new data assets while ensuring master data compliance and understand real world performance in end-to-end IoT scenarios by mapping high volume data ingestions to trusted master data. SAP Data Intelligence enables consistent and proper data usage while helping ensure data quality, security, and governance across the distributed data landscape. It allows you to profile, view, and expose the data of all your connected systems. The metadata catalog within SAP Data Intelligence enables you to discover and manage your meta-data assets across enterprise systems with disparate sources. It provides full insight into the systems that the data went through. And it enables the right users in your organization to discover, understand, and consume information about the data with the ability to synchronize and share it. Administrators can see where and how various data sets fit together by interpreting information about data structures, value, and quality. And with the meta-data catalog, different data values, attributes, and objects, such as in SAP HANA and the SAP Business Warehouse (SAP BW) application, can get semantically translated into proper schemas.

SAP Data Intelligence

Learn more about SAP Master Data Governance at www.sap.com/mdg.