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RISE with SAP towards a Sustainable Enterprise

RISE with SAP towards a Sustainable Enterprise

By : Adil Zafar, Dharma Alturi, Sanket Taur, Mihir R. Gor
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RISE with SAP towards a Sustainable Enterprise

RISE with SAP towards a Sustainable Enterprise

By: Adil Zafar, Dharma Alturi, Sanket Taur, Mihir R. Gor

Overview of this book

If you’re unsure whether adopting SAP S/4HANA is the right move for your enterprise, then this book is for you. This practical and comprehensive guide will help you determine your next steps toward building a business case, while preparing you for all the possible scenarios and enabling you to make informed decisions during implementation. RISEwith SAP toward a Sustainable Enterprise is packed with clear and detailed advice, including a run-through of what it takes to design the landscape using RISE with SAP. As you go through the chapters, you’ll get a solid understanding of precisely what services are available (such as Process Discovery, data migration, the fit-to-standard approach), and which scope items on RISE with SAP should be considered, allowing you to make the most of RISE with the SAP-based model. Finally, you’ll get an overview of different industry-based use cases and how they can be brought to reality with the platform that’s set up on the RISE with SAP offering. By the end of this book, you’ll be able to build a detailed business case to determine if RISE with SAP is the right transformation engine for you, along with a clear idea of optimized landscape design on RISE with SAP that addresses the pain points for your implementation and support activities.
Table of Contents (18 chapters)
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1
Part 1: Overview
5
Part 2: The Journey with RISE with SAP
11
Part 3: The Way Forward: The Art of Possible

Architecting intelligence

Every company has key market-making platforms, which it uses to forward its offer or service to its customers. This, in turn, helps build a customer experience-based story at the core and outside the business. The data within and outside the organization driving an end-to-end process helps derive insights that can drive the Customer Experience (CX) intelligent moments, using ML and AI components. Let’s call it an Artificial Intelligent Experience (AI-X). These moments can happen across the processes for suppliers or customers.

This would require a crucial collaboration within and across industries, where all process participants contribute via the data collected from the subprocesses they execute and derive value from it. This, in turn, requires a fabric of technology that weaves the experience, insights, and the people interacting with it, which not only helps the participants but also directs what could happen next and, at times, self-heals (corrective...

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