SAP Master Data


SAP Master Data – Foundation of Data Analytics

Nobody notices a home’s foundation. A good home foundation will not make its presence known, whereas a poor foundation will manifest itself in continued problems – in cracks in walls, uneven floors, doors that won’t shut, gaps in windows, and so on!

Master data is very much like the home foundation. Nobody notices master data when it is good. When it is poor, it shows up in every business process – painfully! Every employee, customer, and vendor feel the pain of not having company-wide, reliable, well-maintained, easily updated, secure and compliant master data.

SAP Master Data – Foundation of Data Analytics

Nobody notices a home’s foundation. A good home foundation will not make its presence known, whereas a poor foundation will manifest itself in continued problems – in cracks in walls, uneven floors, doors that won’t shut, gaps in windows, and so on!

Master data is very much like the home foundation. Nobody notices master data when it is good. When it is poor, it shows up in every business process – painfully! Every employee, customer, and vendor feel the pain of not having company-wide, reliable, well-maintained, easily updated, secure and compliant master data.

In an era where data analytics drives the revenue bus for all companies, a reliable single source of truth of company data is mandatory. Without this foundational truth, all analytics are garbage-in, garbage-out leading to sub-standard decisions and immense amount of frustration.

There are several huge advantages in having reliable and comprehensive master data in all the relevant domains – vendor, customer, materials/products, employee, etc.

  1. Efficient business processes
  2. Reduced time to market
  3. Faster and better data analytics
  4. Better compliance
  5. Reduced workload

Yet, SAP master data has become a highly challenging asset to maintain for many reasons – a SAP+third-party applications model, legacy applications, global footprint, compliance constraints, and finally, the increasing multi-cloud, hybrid deployment models.

Once upon a time, SAP was a monolith in many companies, and it was possible to maintain one-source for master data. However, with the proliferation of solutions around SAP, master data is strewn across the company within SAP and non-SAP systems. With complex business processes and supply chains that cut across internal and even vendor, partner or customer systems, master data becomes very difficult to maintain and govern. Vendors such as Laidon solve this with a low-code, prebuilt master data governance solution on the cloud. SimpleMDG’s streamlined user interface retrieves real-time ERP master data and initiates maintenance requests for all CRUD (Create, Read, Update and Delete) processes.

Companies with legacy systems also struggle to migrate their old master data to new systems – the complexity, the costs and the business risks pose difficult hurdles.

Some significant problems in today’s master data involve duplication – lack of proper tools to validate and prevent duplications, lack of well-defined, unique ids and disparate systems make it very easy to generate duplications. Vendors such as Winshuttle enable automation to solve duplication challenges.

Compliance and security are additional complexities today with cloud-based data stores, especially with compliance requirements on who can access personal customer data, where it can be stored and how it should be archived. Governance is the key as this article outlines.

SAP’s own MDM solution with its governance module also continues to provide robust functionality.

 

881 results

  1. Look Deeper into SAP Fiori: It’s More Than a Pretty UI

    Reading time: 14 mins

    Open Data Protocol (OData) services power the back end of your SAPUI5 applications. Because OData is a web standard protocol, its flexibility makes it useful above and beyond Fiori applications. In this article, several alternate uses for OData are proposed, with examples to illustrate expanding your use of OData services. Key Concept Open Data Protocol...…

  2. An Introduction to SAP Predictive Analysis and How It Integrates with SAP HANA

    Reading time: 57 mins

    In this exclusive report, take a walk into the world of SAP Predictive Analysis and how it ties into SAP HANA and SAP Lumira (formerly known as SAP Visual Intelligence). Learn the importance of general predictive modeling concepts, and then apply those concepts as part of a bigger discussion about the architecture and features of...…

  3. SAP Data Services: How to Extract, Transform, and Load Data into SAP HANA

    Reading time: 15 mins

    Examine and compare the classic SAP Data Services approach for extracting, transforming, and loading (ETL) processes to the functionality that is native to SAP HANA to determine optimal integration. Membership Required You must be a member to access this content.View Membership LevelsAlready a member? Log in here

  4. Data Quality Strategies for mySAP CRM

    Reading time: 28 mins

    SAPexpert/CRMMany companies starting CRM initiatives are not satisfied with the resulting customer views, citing distrust of the data in their systems. Data quality strategies help you resolve data issues that distort customer views. Find out tips for preparing, blueprinting, and implementing a solid data quality strategy. Key Concept Identifying inconsistencies and anomalies in your data...…

  5. Support Regulatory Compliance Across Your SAP Landscape with SAP Data Privacy Integration

    Support Regulatory Compliance Across Your SAP Landscape with SAP Data Privacy Integration

    Reading time: 13 mins

    While it is important for businesses to ensure data privacy to gain the trust of both customers and business partners, the protection of this data is critical for adhering to the regulations that countries are introducing at a growing rate, with more data privacy bills introduced in 2020 compared to 2019. These regulations — such…

  6. Data Can’t Wait: Start Planning Today

    Reading time: 14 mins

    Since the inception of SAP S/4HANA, one of the main risks that often derails the implementation journey centers around preparing, cleansing, converting, and managing the data. This article presents leading practices that SAP customers can leverage during their SAP S/4HANA implementations to significantly reduce program risks associated with the data conversion process. The advice provided…

  7. How to Migrate to the New DataSource Concept in SAP NetWeaver 2004s

    Reading time: 17 mins

    A new data flow concept has been introduced in SAP NetWeaver 2004s. SAP still supports the existing classic 3.x data flow, which allows customers to migrate as their needs warrant. Although the migration is not required, it presents a host of new capabilities. Key Concept A DataSource can only exist in one of two states:...…

  8. Synchronize Master Data Between Customer Master Data and Business Partner

    Reading time: 12 mins

    See how to synchronize master data between a customer and business partner in an SAP ERP system. With this synchronization, you streamline master data, avoid redundancy, and protect master data integrity. Key Concept Master data such as products, customers, suppliers, and employees is most important for making business transactions. The SAP system uses the Business...…

  9. Information Governance: Setting and Enforcing your Data Policy Decisions

    Reading time: 16 mins

    Matthew Wagnon, Senior Product Manager at BackOffice Associates, answers readers’ questions on setting and enforcing data policy decisions and discusses why this is critical for your business. Read the transcript to learn about: What the initial design and best practices architecture for information governance looks like, and what it will take to establish How policy execution...…

  10. Managing Data with SAP Solutions: SAP HANA and non-HANA Use Cases

    Reading time: 17 mins

    See some examples of integration solutions based on SAP-provided replication tools that you can use to integrate SAP and non-SAP applications. The tools support a wide variety of data types (structured and unstructured) and formats (including data streams). Key Concept The new SAP HANA replication and consolidation capabilities can simplify the architecture of the solution...…