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. How to Change Infotype Data Using Standard Classes and Methods

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    SAP provides a number of standard classes (and methods) for updating records in infotypes. Learn the detailed steps required to create new records in an infotype, delete a record, and change fields of an already-existing infotype record. Key Concept Casting allows you to carry out assignments between two reference variables. Once the assignment is successful,...…

  2. Master Data Management: An Overview

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    Master Data Management (MDM) is a critical process that helps businesses maintain consistent and high-quality data across various domains such as customer, product, and location information. As businesses increasingly rely on multiple applications and systems like ERP and CRM, the risk of data duplication and inconsistency grows, making it challenging to access accurate and timely…

  3. Building a Robust Master Data Foundation with SimpleMDG

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    A robust Master Data governance platform is not only critical for the business process and analytics excellence of an enterprise but has a key role to play in the migration to SAP S/4HANA. Deepa Salem, Vice President and Research Director, SAPInsider With the explosion of data generated across the enterprise, we have entered an era...…

  4. How to Use Workflow for Better Data Control and Integrity

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    Learn how to configure the workflow-driven change request management functionality in SAP GRC 10.0, which is designed to enforce control in the maintenance of master data. Key Concept Change Request Management is a control process aimed at ensuring that changes to master data are independently reviewed by appropriate personnel to ensure that the proposed modifications...…

  5. Understand the Data Model for Integration between SAP CRM and SAP Industry Specific Solution – Utilities

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    Depending on the setup of your system, new master data can overwrite your old data when it is loaded. However, you can view data from a certain point in time with time-dependent master data. The author debates the benefits and drawbacks of adding time dependency to your data model.   The need for time-dependent master...…

  7. An Introduction to SAP Predictive Analytics 2.0 and SAP HANA Predictive Tools

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    In this exclusive report by Hillary Bliss, take a walk into the world of the SAP suite of predictive tools with an in-depth tour of the new SAP Predictive Analytics 2.0 and how it ties into SAP HANA and SAP Lumira. Learn the importance of general predictive modeling concepts, and then apply those concepts as...…

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

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    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. Key Concept Certain extract, transform, and load (ETL) processes have been pushed to SAP HANA, which directly affects the integration with SAP Data Services. ETL is...…

  9. How SAP Fiori Impacts SAP HR Functionality: Q&A with Jeremy Masters on the Roadmap for HR Renewal and SAP SuccessFactors

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    SAP Fiori is an SAP UI5 platform to make the user experience more modern and consumer-grade. What is the user experience roadmap around new HR functionality for HR Renewal and SAP Fiori applications? How does it fit within SAP’s overall cloud strategy with SAP SuccessFactors? HR 2017 speaker Jeremy Masters, Managing Partner at Worklogix, answered...…

  10. Insights from SAP Master Data Professionals

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    To thrive in today’s competitive and increasingly digital economy and effectively launch new products, your materials master data processes must be fast and efficient. If you’re responsible for improving SAP master data processes, this eBook is for you. You’ll learn which strategies you need to implement to speed up your materials and other master data...…