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Orange to green - using a Customer Distress Index to strengthen proactive support

Read later Audio version Summary: Resolving issues proactively is an essential part of field service management. Sumair Dutta of ServiceMax takes a deep dive into creating a Customer Distress Index (© 42pixels - Shutterstock) There is a lot of talk of moving service models from reactive to predictive. Instead of waiting for something to break, you have the ability to predict when it might break and intervene appropriately. Traditionally, this was done in a time-based or interval-based manner but now there is a greater focus on the use of remote or point-of-service technology to build predictive models. However, there is much more to the provision of service that can make or break a customer relationship, which is why some service providers are now exploring the concept of the customer distress index.

What does the ERP of the future look like? Questions, considerations and conundrums

Read later Audio version Summary: ERP needs to change - but getting there is another matter. ASUG CEO Geoff Scott shares seven keys to the future of ERP, gleaned from ASUG reports and events on S/4HANA and SAP ERP projects. It s amazing how three little letters, configured in a certain order, can induce such a feeling of anxiety for businesses. These three letters can generate significant stress during software and system cutovers while also impacting day-to-day business productivity and operations. That trio of letters I m referring to is, of course, ERP. As a former CIO who s had plenty of experience rolling out ERP software, I know all about complexity and customization, integration and upgrades, and downtime and development.

Interview - the ex Google and SAP exec now leading Unit4 s reinvention of ERP

What FP&A teams need to know about AI/ML

What FP&A teams need to know about AI/ML Read later Summary: With a whole forest of abundant data to hand, how do finance leaders focus on the detail? Grant Halloran of Planful shares three reasons why AI and ML help enable continuous planning (© amenic181 - shutterstock) Finance leaders have more data at their fingertips than ever before. Then why is it so difficult to see the forest for the trees? Since the forest of data is so huge, finance professionals can find it difficult to pick out broader patterns, trends, or inconsistencies. These are the key insights that point to the bigger picture and ultimately, an organization s ability to be successful.

The Three Wise Men of SAP - understanding the Rise with SAP analyst call

Read later Summary: SAP executives Klein, Sauerresig and Mueller (screenshot from the RISE Q&A) For Rise with SAP, the company fielded its CEO, CTO, and executive board head of product engineering for a live media and analyst Q&A. How did they get on and what can we learn? Before getting into the meat of what was and wasn t said, it would be remiss of me to avoid congratulating SAP for fielding questions from a relatively tough crowd and with no questions submitted in advance. In one sense that did not surprise me since I knew that most of the folk on the call had been pre-briefed. Even so, the question quality was up there with past sessions.

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