IBM’s Six Ways To Use Analytics To Manage A Workforce

http://www.forbes.com/sites/ibm/2015/04/06/6-ways-to-use-analytics-to-better-manage-a-workforce/

Interesting article about how to use more analytics in areas that are traditionally data rich, but not a focus of most enterprise analytics solutions.

Right now in the BPO industry in the Philippines, two of the bullet points really got me thinking.

Using analytics in HR to predict if and when employees might leave is a pretty cool concept. Their is plenty of historical data to look at resignation and termination patterns and segment the data in various buckets to see if any meaningful patterns jump out.

This goes hand in hand with higher employee expectations for work life balance and having a strong sense of community within the work place.

Both are things that might require a lot of unstructured analytics as well… although it blurs employee privacy issues, Facebook and Twitter can be an excellent place to glean insights into employee mood and their intentions.

I am curious to see how deep analytics can go into looking at data and trying to predict employee loyalty and stickiness.

The recruitment and retention of top talent is the biggest challenge facing just about every organization. DMAIPH is a leading expert in empowering HR & Recruitment teams with analytics techniques to optimize their talent acquisition and management processes.

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DMAIPH also specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture. We have guided thousands of Filipino professionals to become better analytics leaders. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.

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