Next generation supply chain planner: How the role is changing

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We try to keep the self-promotion to a minimum, but we have a great customer, TriQuint Semiconductor, that recently allowed us to update their case study  and I think their story has merit in sharing again. The case study has lots of good bits on how they are using RapidResponse and the benefits they see (like realizing inventory reductions a month after the solution even went live). But the jewel of the story is where they say that, with RapidResponse, they “are changing the role of the supply chain planner to be more analytical rather than just the data hunter.”  A simple statement… with enormous implications. From the corporate perspective, this means higher productivity, more value-added activity, and results-oriented decisions…all leading to better business results.   But equally important, from the supply chain professional perspective, think of the satisfaction that happens when someone feels equipped and able to actively and effectively contribute to the business.  It becomes not just about getting things done, but about making a difference. JP Swanson of TriQuint said it best…

“Previously we spent so much time gathering the information that we weren’t able to spend enough time analyzing the information, understanding it and doing something about it…Our team likes the fact that they can use their minds more and they are getting to touch a different skill level because they have more time to do it and more information in front of them to do it with.”

Another worthy quote...

“It's a great solution for many of our everyday problems. It is now our default when faced with an issue..."how can we model it in RapidResponse?"

A big thank you to TriQuint for letting us tell their supply chain story. We love what you are doing with the product! In addition, here's a snap shot of the TriQuint story from our techvalidate survey.

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Navdeep Sidhu
- August 20, 2013 at 4:31pm
"Previously we spent so much time gathering the information that we weren’t able to spend enough time analyzing the information"

I feel like that is a really common issue. Big Data is great, but having more and more data does you no good if you can't actually turn it into insights and actions. Everyone gets so caught up in the collecting they forget about the analyzing.

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