Expert Insights
Expert Insights are written by subject matter experts who provide step-by-step, technical guidance for the people, process, and data requirements that support leading business strategies.
139 results
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How to Create a Business Case for SAP S/4HANA & RISE with SAP
Key Objectives: Learn how to build a business case for SAP S/4HANA in your organization Identify the important parameters (functional & technical) which support the SAP S/4HANA transition path? What are the prerequisite projects (CVI to BP, old GL to new GL ) required for SAP S/4HANA? How to calculate the TCO & ROI for…
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Attain Faster Stabilization with SAP S/4HANA Production Execution Implementation
One of the most common reasons why SAP S/4HANA implementations take more time for stabilization is attributed to designs focused on technical aspects without consideration of after go-live data maintenance, people, and processes. Such process- and people-related modifications that could be of value in Production Planning and Execution are summarized in this article by KPMG's…
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Reduce Manufacturing Cost by Identifying Lowest Cost Alt BOM
Every company needs help in identifying opportunities for direct material cost reduction. For a product, there can be several alternative bills of materials (Alt BOMs), which can have varied costs based on market conditions. In standard SAP, there is no report to identify the lowest cost BOM; the system may be using a high cost…
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5 Ways to Enhance Your SCM with Smart Data Collection
For manufacturers and warehouses, the supply chain is constantly top of mind. As transportation costs soar and warehouse managers grapple with the need for more space, digitally transformed inventories have proven to be the way forward. Modernization and streamlined technology contribute to overall operational efficiency, driving stronger business models and quicker delivery mechanisms. After all,…
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SAP S/4HANA Selective Data Transition Explained
SAP has suggested three transition paths (new implementation, system conversion, and selective data transition) to SAP S/4HANA. With a new implementation, you build a fresh SAP S/4HANA system whereas with a system conversion, you turn your existing SAP ERP system into an SAP S/4HANA system. In selective data migration, you build a fresh SAP S/4HANA…
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SAP S/4HANA Migration Project Hits Some Bumps
Migrations to SAP S/4HANA are challenging and difficult when the overall organization must adjust to new technologies, new architectures, constant training, and more. For a corporation to transition to a new and better way of doing business with innovative and flexible tools not only requires investments, but the right personnel, not only capable of performing…
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Assessment Framework Enables Optimal SAP S/4HANA Migration
Over the last decade, there has been a paradigm shift from traditional monolithic ERPs to the next-generation composable ERPs. SAP’s flagship ERP, SAP S/4HANA, lays the foundation for building a clean digital core with composable components developed over the SAP Business Technology Platform as well as satellite systems. However, migration to SAP S/4HANA is a…
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Exploring SAP Database and Data Management Solutions
SAP databases are critical to SAP Database and Data Management solutions. But databases would not be as valuable without data management. SAP offers a variety of data management tools, including SAP Master Data Governance suite. SAP Master Data Governance gives enterprises tools that they can use to harmonize their data access throughout the company. In…
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Build Custom Solutions Using Business Rules for MDF Objects
MDF Objects and Business Rules are widely used in Platform, Recruiting, Onboarding, Employee Central and other modules of SuccessFactors. And of course, there is much information about each particular feature of the MDF Objects, and each scenario and function of the Business Rules, which is helpful for the configuration of a standalone Business Rule or…
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System Optimization using SAP S/4HANA’s Data Aging
There has been a significant increase in data generation owing to enhanced usage of applications and increasing digitization of business processes. To derive true value from the data, this has to be stored and processed efficiently. The larger the quantity of data, the more complex it is to sift through to gain insights. This is…
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