In this Age of Big Data, Do you need an HR Data Scientist?
Big data is gaining excellent momentum in the enterprise landscape and human resources is no exception. Yes, big data is catching up good traction in the HR landscape, as it is assisting human resources professionals in making effective and smart recruitment decisions also, in retaining top talents. With the cost of bad hires shooting up affecting businesses all over, it is essential to look out for processes that can deliver valuable insights from hire to retire.
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This is the reason business leaders and HR managers are looking out for better HR technology and tools in order to make robust decisions, which paves way for HR data scientists. Gone are the days when HR personnel used to rely on gut instincts for making recruitment decisions, as today HR is responsible to drive business results and ‘analytics’ is the keyword for them.
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The Million-Dollar Question!
So the question remains: To harness the prowess of big data in your HR functions, do you require the expertise of an HR data scientist? With the burgeoning number of data scientists in human resource departments across diverse industry verticals, we can see an industry-wide and extensive rippling effect. Having a devoted HR data scientist to tackle the time-consuming and costly obstacles that plague your HR functions is fast becoming a staple for businesses worldwide.
Effectively leveraging the potential of a data scientist is all about having a proper framework for big data. This can help to break down those intricate and employee-oriented challenges into manageable and smaller parts with optimisation opportunities. Most importantly, your HR people can enjoy data-driven recruitment along with seamless on-boarding and training process.
Word of Caution:
A key consideration prior to entering your head in HR data science is to ensure that your HR department is able-bodied to bring all those critical pieces of data together. Often, businesses tend to laden data scientists with responsibilities pertaining to basic reporting, trend spotting and analysis only that barely reaches the depth. Though it may help to identify a wide number of issues or may unravel retention or recruitment patterns for your organisation, it might not help you make the most from your data science endeavours.
So what’s next?
The next step is to take a proper look at your human resource department and figure out where you exactly fall on when it comes to data science arena. If you are geared to take your HR workflows to the next big level and determined to up your data science game, tapping a stellar data scientist is your way to go.
However, if you are starting it afresh with data driven workforce management, then consider integrating data pertaining to analytics and trend spotting before you take the plunge. Chances are high that you might come across some insightful opportunities to help bridge gaps and streamline several HR functions. As you fetch more and more data, you move a step closer to leveraging full-fledge prowess of data scientists.
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