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. Get More from APD: Gather and Store Query Result Sets for Complex Analysis

    Reading time: 14 mins

    When carrying out complex analysis, such as trend analysis, you may need to use a query as a DataSource. In these situations, rather than using transformation logic, try using Analysis Process Designer, which provides more flexibility and enables you to use queries as DataSources. Key Concept You can use Analysis Process Designer (APD) to run...…

  2. Part 1: Data Modeling Strategies to Avoid Data Inaccuracy and Ensure Consistency

    Reading time: 54 mins

    Minimize and eliminate data inconsistency and inaccuracy in SAP NetWeaver BI environments by adopting and adapting the data modeling techniques described here. The author explains the accuracy, benefits, and drawbacks of each. Key Concept Common data modeling approaches produce inconsistent and inaccurate data over time. This results from insufficient understanding of delta processes and different...…

  3. Tips and Techniques for Optimal Query Performance with SAP NetWeaver BI Accelerator

    Reading time: 39 mins

    SAP NetWeaver BI Accelerator, available with SAP NetWeaver BI 7.0 and later, can reduce reliance on aggregates and improves how the system reads data, resulting in faster query performance. Find out which scenarios work best with the accelerator and learn which tasks you should carry out for the best possible accelerator performance. Key Concept The...…

  4. Convert Dangerous Goods Master Data Accurately in Your ECC Upgrade

    Reading time: 13 mins

    Eliminate potential risks with proven step-by-step instructions to convert dangerous goods master data during your next major upgrade to SAP ERP Central Component 5.0 or 6.0. Failure to perform these steps may result in erroneous master data. Key Concept A dangerous good is a hazardous material that poses a risk to people or the environment....…

  5. What you need to know about SAP ERP and APO data transfer using CIF: Q&A with SCM 2014 speaker Claudio Gonzalez

    Reading time: 29 mins

    Thank you everyone who joined us for our Q&A with SCM 2014 speaker Claudio Gonzalez of SCM Connections. Claudio answered reader questions on troubleshooting SAP ERP and APO data transfer with the CIF (core interface). Questions for Claudio included: If we CIF subcontracting SNP PDS, will it create any transportation lanes in APO? When should we use inbound queues...…

  6. Troubleshooting Tips for Effective Use of SAP Process Control 10.1

    Reading time: 24 mins

    Use these troubleshooting tips to enable your end users to investigate and remediate compliance issues using SAP Process Control 10.1. Key Concept SAP Process Control uses an integration framework that includes infotypes and workflow, both of which enable you to integrate different business scenarios to assess master data on a timely basis. Different work processes...…

  7. Crafting an Effective Master Data Management Strategy for Your Enterprise

    Reading time: 5 mins

    This article will delve into the importance of having a solid master data management strategy, its key components, best practices and measurements during implementation. By the end of this comprehensive guide, you will have a thorough understanding of how to develop and implement an MDM strategy that drives significant ROI for your business.

  8. Automate Data Loading in SAP BusinessObjects Planning and Consolidation 7.5

    Reading time: 19 mins

    /BILearn a data loading automation solution for SAP BusinessObjects Planning and Consolidation, version for SAP NetWeaver. With this solution, business users can start and finish data loading by themselves by clicking a couple of buttons in the SAP BusinessObjects Planning and Consolidation client interface and save the loaded data in a different version. Key Concept...…

  9. SAP Data Services Part 1: Integrating with SAP Business Suite Sources

    Reading time: 15 mins

    Gain an overview of SAP Data Services and how to extract data by leveraging SAP Business Suite extractors. Key Concept SAP Data Services can integrate with the SAP Business Suite to transport data by using extractors that streamline the extraction, transformation, and loading (ETL) process for this type of deployment. SAP Data Services (formerly SAP...…

  10. Part 3: Data Modeling Strategies to Avoid Data Inaccuracy and Ensure Consistency

    Reading time: 28 mins

    Overcome the challenge of re-determining the master data attribute values for a transaction when changes in master data attribute values are back-dated. Key Concept InfoSets allow you to maintain pinpoint accuracy even when both transactional and master data can be not only forward- but also back-dated. Temporal joins ensure that the system uses the latest...…