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
Analysis Process Designer 101: How to Perform Complex Data Analysis Easily
Reading time: 13 mins
Find out about the Analysis Process Designer capabilities in SAP BW that allow you to analyze and group data from mySAP CRM. See how you can create CRM target groups with SAP BW data to organize customer-related activities and process them for specific customer groups. Key Concept With Analysis Process Designer, you can create data...…
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Premium
7 Principles for Creating Organizational Commitment to EDW Data Quality
Reading time: 10 mins
SAPxperts/BIIncluding a data validation process as part of your SAP BW or SAP NetWeaver BI implementation helps you find problems in your data more quickly and lends credibility to your data. Learn how to optimize your data validation effort with seven important principles. Key Concept Validation is a process that checks incoming data in your...…
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Premium
Load Data into Two BW Systems from One R/3 Source with Zero Downtime
Reading time: 13 mins
Are you worried about what adding another BW instance to your ERP system may mean to your end users? Here’s a technique that allows you to bring another BW system online without any outages on the source system. It can be used for other tasks such as reinitializing the system to reduce the impact on...…
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23 Ways to Squeeze Better Performance from APO DP Processing and Reporting
Reading time: 11 mins
APO Demand Planning (DP) developers have a number of areas to be aware of that could negatively affect performance. This list of 23 DP performance tips explains how to avoid bottlenecks and why they can occur. Key Concept SAP Business Information Warehouse (BW) is the engine that supports APO DP analysis and reporting. Proper setup...…
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- SAP S/4HANA Finance
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SAP S/4HANA 1610 Material Ledger Actual Costing: Understand the Fundamental Changes and the Impact on Conversion
Reading time: 27 mins
Learn and understand the massive changes in material ledger actual costing with SAP S/4HANA 1610. See how the technical and functional changes to this version of SAP S/4HANA affect organizations that use actual costing in a source system and are migrating from earlier SAP S/4HANA releases to SAP S/4HANA 1610. Key Concept Significant functional and...…
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- SAP Data Security
Premium
How to Protect Data at Rest
Reading time: 5 mins
Companies often prioritize data they are actively using within their cybersecurity planning and infrastructure. However, it is important that they do not overlook data at rest. Examples of data at rest include archives, online backups, client copies for quality assurance and development environments, and disaster recovery sites. Though it may not be top of mind,…
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ServiceNow Introduces Workflow Data Fabric, Further Spurring AI-fueled productivity for the enterprise
Reading time: 6 mins
ServiceNow has launched Workflow Data Fabric, an AI-driven platform designed to enhance data integration and workflow automation across enterprises, enabling real-time access to diverse data sources, optimizing processes through new Zero Copy connectors, and partnering with Cognizant to bring these capabilities to market.
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Uncover Performance Improvements When Working with Aggregates Based on Master Data
Reading time: 11 mins
Apply these tips to master data-based aggregates to improve your system’s performance. Most BI professionals know the basics of aggregates. Many would say, “Aggregates are baby InfoCubes that include fewer characteristics than the basic parent InfoCube and therefore summarize the data even more than the InfoCube does.” When queries can use aggregates, the result is...…
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Efficient Production Planning Using SKU Groups with the SNP Optimizer
Reading time: 31 mins
SCMFind out how to overcome the limitations of Supply Network Planning’s aggregate and block planning capabilities. Key Concept Aggregate planning is a feature in Supply Network Planning (SNP) whereby net requirements calculation from medium to long term can be executed at a product group level using aggregate objects such as SKU groups, location groups, resource...…
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Premium
Integrating SuccessFactors Employee Central with SAP ERP HCM Master Data
Reading time: 21 mins
Learn how to integrate SuccessFactors Employee Central with your SAP ERP HCM system. After the successful integration, Employee Central becomes the system of record for master data and any changes to master data in Employee Central can be copied to the SAP ERP HCM system using iFlows. Key Concept For integration between the SuccessFactors and...…
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