“Measurement is the first step that leads to control and eventually to improvement. If you can’t measure something, you can’t understand it. If you can’t understand it, you can’t control it. If you can’t control it, you can’t improve it.”

"What if I can not participate in an interview because of Arashi?" If you plan on spending time looking for a strange situation that does not apply above, you will not learn a little, There is a way of thinking. And you can not control your own situation

I am a big fan of quantitative methods. I have worked in the field of data science for almost 30 years, and I firmly believe that you can not control what you can not measure. From this point of view I am pleased that we have adopted a quantitative method that will help all industries and corporate function leaders make better decisions in the past decade. What I care most about is what I call "big data, cerebellum". Leaders give up their knowledge and rely too much on data to guide decisions. Specifically, in a typical big data project, leaders hire external or internal teams to collect and process data, hoping to draw insights related to specific business problems there is. The Big Data team has the necessary expertise to convert raw data to a usable format, select the algorithm to recognize the pattern and extract information.

Do you still need to understand this strategy? How can I find out detailed information on this strategy? What do you need to do to get started? What kind of information should be gathered to evaluate? How do you plan to implement and execute this strategy? How to make students involved in planning and implementing to present ideas and strategies to gain more information on any of the topics listed. Next, let these pairs join another group and share it further. Let the teacher write his own action plan. What do you do when you return to the classroom to practice what you have learned.