Question: The era of big data has arrived.
The era of big data has arrived. Discussions of terabytes and petabytes that were reserved for supercomputing facilities just a few years ago are common today. Companies are recognizing the tremendous value in the data they create, and they want to capitalize on that value. Manufacturing is leading the way as one of the largest producers of data from factory systems, machines, and sensors.
However, the rapid evolution of big data technologies, coupled with the hype surrounding these technologies, has led to “analytics paralytics†at some manufacturers. Questions of where to start and how to implement a big data technology can be answered in the following exercise.
Step 1: By yourself, place the eight steps below in the sequential order you believe will be most effective for implement- ing big data analytics in a manufacturing plant. The first step would get a “1†and the last step would get an “8.†Put your sequence number beside each item under “Your Sequence.â€
Step 2: Divide into small teams of three to four members and decide as a group the correct sequence of the eight steps above to implement big data in a manufacturing plant. Record your team sequence of steps in the second column above from “1†to “8.â€
Step 3: Your instructor will give you the expert’s sequence to be placed in column 3 above. Your instructor will also read the rationale for each step in the project sequence.
Step 4: Compute the absolute difference (no minus numbers) between your individual score and the expert score. Add up the differences to derive your total score. Now do the same for the team score. Which score is lower? A low score is better. Did the collective knowledge of your team produce a lower score? Discuss the dynamic within your team that might explain your team score.
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