Answering the Customer's Big Questions

Posted by Adrian C. Keister on July 11, 2017

In a previous post , I wrote about how data science can be an important part of systems integration. In this post, I will outline a few more details about how that happens by explaining a graphic that our Raleigh office has developed. 

Above is the graphic entitled "Electromechanical Test Systems for Data-Driven Decisions." It is remarkable how many businesses are asking too little of their data. Here is how Wineman can help:

ASK: The customer should ask big questions. In the top blue row of the graphic, you can see examples such as, "Are we making the correct product?" Or, "What is the effect of vendor quality?" Questions could be related to products or the entire business.

ANSWER: The large Wineman-green section in the middle is our role: provide answers. A generally chronological order to answering questions goes like this: Acquire Data (Hardware Selection, Design, Implementation, and Operation) followed by Analysis of Data (Reporting and Data Science).

ACT: Once the Data Science step is complete, we have answered the customer's questions; what remains is to take action. The ACT row is blue, reflecting the customer's role. Perhaps there is a detail to change in the product's design or manufacturing process, or an action to take improving multiple products or the business as a whole.

Relevant actions can be driven by data because Wineman Technology has helped ask and answer big questions.

Topics: Systems Integration, Data Science