Teaching profession is facing lower job satisfaction, unclear idea related to a particular subject. Inaccurate teaching processes are generating slack in the education industry. To manage such issues we can use big data as used in famous movie "Moneyball". It can predict the future outcome by using simple statistics and work according to forecasted outcome. Proper mining could help us to find undervalued personnel with higher potential to attain a high success rate. So in educational context we can segregate major characteristics. These attributes can be:

1. High level of optimism, enthusiasm, sense of humor

2. High standard of expectation from their students

3. Continual self-evaluation

4. Self-criticizing, understanding and updating.

These attributes can be well observed if a bigger pool of educators is created and their continual behavioral attributes are analyzed. In this way future prospective educator’s list can be predicted and deploy them in proper institutional scenarios.

To read, follow: : http://www.brookings.edu/blogs/brown-center-chalkboard/posts/2016/02/03-teacher-moneyball-big-data-analytics-murray

Data analytics are the most essential part of any organization these days and requires efficient personnel having a greater skill set in data science. But, there is not enough parity between demand and supply. According to a recent study, it was found that there is demand for computer programmers with a background in data analytics, but out of the 332,000 computer programmers in America, only 4% had the necessary skill sets. So to bridge the gap, the online training method can be a helpful process and is flexible and this in turn enhances productivity. This is a continuous process of development and helps to figure out new talent within the organization. But all these processes can only be possible if colleges and universities encourage their student to learn data science and master in those skillet.

To read, follow:  :  http://www.cio.com/article/3033887/careers-staffing/can-online-training-bridge-the-big-data-skills-gap.html

There is a continuous fall in number of manufacturing industries due to lower profit margin or problem in operation. Here are some problems faced by manufacturing companies with their solutions:

 •    Organizations won’t able to find skilled labor:

·         They need to train them for building required skills, and train employees to solve daily problems.

·         Can’t keep track of all the regulations: Companies need to have Quality legal counsel.

·         Problem with suppliers: Apply lean, six sigma or analytics to reduce waste cost and lead time.

·         Competitive Advantage: Continuous Innovation and lean product development are the need of manufacturing industry.

To know more about these problems and their solution read an article link “Manufacturing: It’s Where and How, Not If” by Becky Morgan (President, Fulcrum ConsultingWorks Inc.): http://www.industryweek.com/strategic-planning-execution/manufacturing-it-s-where-and-how-not-if