Week4 Day3
- 1. What People Analytics Can’t Capture ~ Daniel Goleman Under guidance of Prof. Sameer Mathur
- 2. What is this article for? In Human Resources, Using big data analytics and personality test scores to predict who is best for a given job - so called “XQ”.
- 3. Benefits of being a data scientist As data is getting bigger and bigger, scientists are getting a job of huge wages with additional business Rewards.
- 4. Many businesses are reaping rewards from big data analytics. But there are also some areas of disappointment. Experts caution that big data, like any other, is only as good as the questions being asked- and that some algorithms can make unhelpful assumptions.
- 5. The business world is now gradually warming up to a new buzz term “people analytics”, which is Essentially a more human subset of big data. The term is taking the corporate world, and especially the human capital management space by storm.
- 6. “Statistics means never having to say you are certain.” Statistics is a science, not a branch of mathematics but uses mathematics models as essential tools.
- 7. In order to overcome the big data we need to strive hard to overcome its performance. Literally there are some pre-existing metrics, but the metrics are not impacting much.
- 8. Many suffer from Short term targets. Unsuitable working environment. Managers forcing to complete targets and live upto their expectations. Over pressure by the company management and association.
- 9. Big data needs a hard outcome metric for performance, but the most readily available metrics may not actually be the most important variables in organisational flourishing.
- 10. Insights relevant to a manager Have to implement more technologies, keeping in mind the merits and demerits. The more they depend on algorithm, numeric value, the problem of an employee doesn’t reduce.