19.01.2019 Views

The 10 Best Professional Services Automation Solution providers 2018

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Tech Trend<br />

Understanding People Analytics<br />

People analytics or HR analytics is the application of<br />

statistics, mathematics, and modeling which collects and<br />

process worker-related data to see and predict patterns. This<br />

technique assist organizations to predict whether a<br />

particular person fit for a given job or not. Due to its ability<br />

to boost hiring and retaining the right talent, some people<br />

have gone so far that they have even started calling it as a<br />

“crystal ball for HR”.<br />

How ‘People Analytics’ can help HR fraternity<br />

• Identifying the features or variables in jobs and<br />

employees that matter/counts most<br />

• Matching those important job variables with a pool of<br />

applicants or recruits<br />

• Predicting the likelihood of a worker to stay on the job for<br />

a long time or to “churn”<br />

• And recommending salaries and other compensation to<br />

bolster longevity<br />

Importance of Peoples Analytics<br />

<strong>The</strong>re are lots of important questions that arise into the mind<br />

of management peoples like: How can we find more top<br />

performers? What do our most successful leaders do to<br />

excel at their work, and how can we replicate that across the<br />

organization? Which people are most likely to stay for long?<br />

Which employees are likely to leave? With the right<br />

analytical tool in hand, one can get the right and accurate<br />

answers to these vital questions which plays a pivotal role in<br />

shaping company’s fortune and can assist an organization to<br />

maintain a robust workforce.<br />

Popular HR Analytics Tools<br />

Power BI<br />

Power BI link multiple sources like SQL database with<br />

people’s data, live twitter feed, machine learning API’s and<br />

more. All these different data sources are then combined<br />

with an aggregation process to create one large database.<br />

|November <strong>2018</strong>|<br />

39

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!