Santa’s analytics-driven Production Cockpit takes his Workshop to new heights
Holiday season is in full swing, and no production facility is busier than the one belonging to the leading toy manufacturer in the world, Santa Claus.
This is when Santa asked the question: how can we overcome these challenges? His aim was to put critical analytical skills and capabilities into the hands of the process and control elves, enabling them to solve problems on their own and passing the more complicated issues on to the data scientist elves. Santa knew he needed to leverage data analytics to take more steps towards optimizing processes and asset performances of the Workshop in order to maintain their leading position as the “best in the business”. Santa also knew, however, that leveraging data analytics wasn’t just about buying new software: the elves needed to adapt to using the software and rethink how they handled data.
A Workshop’s Self-Service Analytics Journey
After hearing about new potential ways he could optimize his production processes with self-service analytics, Father Christmas himself signed up for the Introduction to Self-Service Analytics TrendMiner webinar back in April, and shortly after he and his team of Subject Matter Elves (SMEs) were shown a personalized demo. Because of TrendMiner was easy to use, connected seamlessly with their existing IT landscape, and came with an unrivaled onboarding process, Santa was ready to start working on use cases.
Here is one particular use case as described by Bitsy Cocobee, head of the North Pole’s Sweet Treats division:
We were facing an incident during production in the candy cane facility. However, thanks to the rapid-fire pattern recognition capabilities of TrendMiner, multiple incidents of this process behavior was discovered and seen re-occurring over several years. The search for tags was as straightforward as searching for something on Google and navigating through all the years of data was simple to do using sliders and filters. From there, we were able to drill down to find the root causes using influence factors and TrendMiner’s unique recommendation engine.
We identified the best performance periods and we created elf “fingerprints” of the processes which we now use as a monitor. The team did the same for the assets, but for the best operating zones. The monitors captured all events – including the ones residing in our other 3rd-party business applications. Combining current process status overviews with the early warning capabilities enables the operator elves to be proactive and it has optimized the flow of information between shifts.
Finally, we created a custom “Production Cockpit” which is comprised of a dashboard, analytics suite, and info sharing capabilities. We can share live overviews, access production data in real time, and conduct analyses on any processes or operating zones! Combining current process status overviews with the early warning capabilities enables the operator elves to be proactive and it has optimized the flow of information between shifts. We are now better informed and able to make better decisions at a moment’s notice, which is crucial when you work with deadlines as tight as ours!
Other ways Santa and his team of Subject Matter Elves are using TrendMiner:
TrendMiner would like to wish everyone a Happy Holiday season and a prosperous New Year!
Regardless of whether your factory is real or not, giving your team the power to use their data is the perfect gift to keep your operations running at the optimal levels. We look forward to working with you in 2020!