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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From Data Silos to Smart Products: How SAP Business Data Cloud Transforms Enterprise Data Value
Reading time: 4 mins
Break free from data silos with SAP Business Data Cloud — a unified, governed platform that transforms fragmented enterprise data into secure, reusable “data products.” Unlock cross-system intelligence, speed decision-making with AI-ready insights, and deliver real business value through harmonised, trusted data assets.
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Using Artificial Intelligence with SAP for Dynamic Financial Environments
Reading time: 17 mins
Traditional programming approaches—such as using ABAP development to create customized applications within SAP—are often too slow to respond to today's fast-changing environments. With the rise of artificial intelligence (AI), data scientists are able to create more sophisticated, customized calculations in SAP to better support marketing and operations. In this article, the author explains how to…
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Premium
Don’t Undercut Your
Reading time: 47 mins
A well-developed cutover plan can mean the difference between the success and failure of your SAP implementation project. In a recent engagement, the author transformed a list of development objects into a comprehensive cutover plan. He shares his expertise by pointing out areas you should concentrate on in your cutover plan and offers tips and...…
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Premium
Empower Your End Users with Accurate BW Reports
Reading time: 35 mins
Use standard BW functionality to show end users the accurate last load date and time for each report. This saves time for end users, who can see at a glance whether or not they need the report information. Key Concept A class is a type of ABAP program. In the context of my solution, I...…
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Premium
Improve Your System Performance by Archiving Data in BW: Part 2
Reading time: 9 mins
When you need to retrieve archived data, follow this process to load it back into your BW system. Key Concept Archiving removes outdated data, but sometimes a need arises to analyze archived BW data and you must reload it back into the BW system. For example, your company archived and deleted order data from four...…
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Bring Real-Time Analytics and Reporting into Your SAP HANA Platform: Q&A on the Benefits of Agile Data Marts
Reading time: 11 mins
Data volume continues to increase among organizations of all sizes and verticals, and many have turned to business intelligence (BI) tools to make the best use of their data. These BI technologies are key to integrating, analyzing, and leveraging all of this data, but for those just starting this process, the question remains — what...…
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Apply LSMW to Your Daily Operations
Reading time: 32 mins
Learn how to create, run, and apply SAP Legacy System Migration Workbench to your basic day-to-day HR activities with these 15 steps. Key Concept Companies frequently use SAP Legacy System Migration Workbench (LSMW) exclusively for major initial data conversions or in preparation for go-live. Often, users are unaware of the LSMW functionality available to enhance...…
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Premium
Which Inventory Valuation Method Is Right for Your Make-to-Order Scenario?
Reading time: 12 mins
/FinancialsIn a make-to-order scenario, you have three inventory valuation methods you can use. It is crucial to choose the right method for each order — if you choose the wrong one, you cannot correct it, so you must cancel the order and re-enter it in the system. Walk through each method and find out when...…
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Modernizing Data Strategy with SAP Business Data Cloud: What Enterprises Need to Know
Reading time: 7 mins
SAP’s improved Business Data Cloud (BDC) integrates diverse data sources and leverages AI to streamline decision-making and insights for businesses, marking a strategic shift from traditional tools like SAP BW while addressing the growing need for flexible and comprehensive data management solutions.
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- SAP Analytics and AI
Premium
Synergizing Data Science and Software Engineering Teams
Reading time: 6 mins
Due to the nature of their role, data scientists need to collaborate with many different stakeholders and departments. Recently, there has been a lot of focus on the need for data scientists to collaborate with business functions that will leverage the solutions designed by data scientists. While this collaboration aspect is certainly important, a critical…
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