Data cleanup isn’t a new idea, but with all the challenges created by the COVID-19 pandemic, the need for clean data has really become more important than ever.
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This article was submitted by our partners at ServiceMax, a leader in Field Service Management. With our recent whitepaper “Service Supply Chain Prophecy: 2021 & Beyond” discussing the importance of clean data for service planning in 2021, we think this will be quite helpful.
Our subject matter experts often get asked to speak as guest lecturers at universities to share their knowledge about the service supply chain. We thought it might be good to offer a Service Supply Chain 101 here on our blog for students and those new to this, the “other supply chain.”
Historically, Prophet's legacy reporting did a great job providing users with large exports of detailed data. Users had access to all of the details they needed to create their own pivot tables, charts and graphs to analyze data outside of Prophet.
In this final part of our exploration of total cost optimization, we bring these operational and inventory costs together to show that service level is better viewed as an output of an optimization rather than as a goal, as the right service level minimizes the combination of these costs.
As we continue our exploration of cost optimization, we consider two additional costs that must be balanced in the optimization process: inventory costs and instability costs.
For decades, companies have focused on the finished goods supply chain. It is very important and contributes to a massive amount of revenue for any organization, but in the background, there has been another type of supply chain slowly growing, the service supply chain.
With a flurry of the manufacturing supply chain trying to do more with less and coping with the varying degrees of a remote workforce, it’s critical to turn more to automation to lessen the load on individuals. The question is “…but at what cost?”