SAP Master Data
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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.
- Efficient business processes
- Reduced time to market
- Faster and better data analytics
- Better compliance
- 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.
886 results
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Premium
Error Stack in SAP NetWeaver BI Provides Improved Data Load Error Handling
Reading time: 11 mins
SAP NetWeaver BI 7.0 introduces new functionality for error handling, such as the error Data Transfer Process and error stack. Find out how to use these new options. Key Concept SAP NetWeaver BI 7.0 contains a modified data staging and distribution process, called the Data Transfer Process, as a part of the extraction, transformation, and...…
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Role of Data Quality in Supply Chain Digital Transformation
Reading time: 7 mins
Quality Data Lays the Foundation As supply chains become increasingly complex, so does the associated data landscape. Millions of data points must be managed in modern supply chains today due to the wide gamut of systems used. From Enterprise resource planning (ERP) systems that manage an organization’s basic processes to customer relationship process (CRM) systems...…
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12 Best Practices for Information Lifecycle Management Using the NLS Interface
Reading time: 13 mins
Using Information Lifecycle Management (ILM) and Nearline Storage (NLS) techniques enables organizations with SAP NetWeaver BW implementations to improve warehouse performance while considerably reducing database administration costs. In addition, using ILM with NLS improves your ability to manage and satisfy service level agreements. Discover the important aspects of ILM and garner best practices for using...…
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Understanding SAP NetWeaver BW Near-Line Storage (NLS) Based on Sybase IQ
Reading time: 12 mins
BISAP Professional JournalImplementing SAP NetWeaver BW on HANA typically requires a substantial hardware investment. One way to mitigate this expense is to offload some of the data into near-line storage (NLS). In this article, discover why and how to set up NLS. Also learn the functionality of NLS, its setup, and the process for moving...…
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Leverage SAP analytics cloud to accelerate decision-making capabilities faster
Reading time: 7 mins
SAP Analytics Cloud empowers data-driven organizations by enhancing business intelligence and predictive analytics capabilities, facilitating seamless data integration, real-time insights, and improved decision-making through advanced analytics and visualization tools.
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Effectively Manage Scrap in Your Production Processes
Reading time: 21 mins
Discover how you can manage assembly and component scrap at various levels in an SAP system, including the master data and transactional data levels. In addition, see how to record scrap at the cost center level. Key Concept Successfully assigning assembly and component scrap in master data enables an SAP system to not only consider...…
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Premium
7 Keys to a Successful SAP NetWeaver BI Implementation or Upgrade
Reading time: 13 mins
Review these seven key steps to ensure that your SAP NetWeaver BI 7.0 implementation or upgrade project goes as smoothly as possible. For new implementations, find out what you need to consider as you migrate to SAP NetWeaver BI. For upgrades from SAP BW 3.5 or earlier, understand how you can apply lessons learned from...…
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- SAP ERP
Premium
What’s New in SAP BusinessObjects Design Studio 1.5 to Enhance Performance (Part 1)
Reading time: 14 mins
With the release of SAP BusinessObjects Design Studio 1.5, some important enhancements to components, performance, and functionality have been made in several areas. Review the most important updates of the release 1.5 for SAP BusinessObjects Design Studio and learn the steps for how to make the best use of these new dashboarding functionalities. Key Concept...…
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Data Integrity and Transformation Go Hand in Hand
Reading time: 6 mins
Technological innovation enables digital transformation. In his Enterprise Data and Analytics report, SAPinsider’s Kumar Singh explains that the commoditization of technology continuously lowers barriers to entry across industries, enabling smaller, nimble, and agile companies to disrupt larger and more established businesses. The report surveyed 291 members of the SAPinsider community. The purpose of the survey…
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Premium
What SCM Teams Need to Know About Intrastat Reporting
Reading time: 25 mins
As part of the SCM team, you may be asked to perform customizing and master data maintenance tasks for Intra European Community Trade Statistics (Intrastat) reports. Although SAP provides a wizard to help you with these tasks, it doesn’t cover all of the steps you need to set up Intrastat reporting. Find out the additional...…
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Capitol Technology University
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SAP DevOps Architect & Client Director, Basis Technologies
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