- October 4, 2018
- Posted by: admin
- Category: Uncategorized
Analytics Benefits- Last year’s World Series between the Houston Astros and the Los Angeles Dodgers came down to a seven-game battle based not only on talent, athleticism and coaching, but also on data. Just as Sports Illustrated suggested back in 2014 via predictive data, the Astros were the victors.
The publication of Moneyball: The Art of Winning an Unfair Game spurred not only Major League Baseball teams to deploy predictive analytics, but also businesses to take a harder look at what their data means. It’s no longer part of the hype cycle: Statista forecasts (paywall) that the predictive analytics market worldwide will reach $6.2 billion in 2018 and $10.95 billion in 2022.
I believe we are also at a transformational point in improving corporate employee benefits and our employees’ lives by embracing predictive analytics. HR is swimming in rich data. Instead of guesstimating needs across multiple generations of employees, employers can turn to their own data to fine-tune what they are offering as benefits solutions. Companiesspend 25-40% of an employee’s salary on benefits. It simply makes strategic and financial sense to get it right.
Bring Employee Benefits Out Of The Dark Ages
Hiring and retaining great talent is at the very soul of almost every company’s strategy. Not surprisingly, more companies have turned to predictive analytics to give them a leg up in recruitment. However, HR benefits has lagged behind. As John Greenwood reported to Corporate Adviser, “More than half of reward and employee benefits professionals see predictive analytics as a game-changer, but 90 percent are still using spreadsheets to manage data, research from the Reward & Employee Benefits Association shows.”
One reason for benefits lagging behind recruitment in adopting predictive analytics is that the way companies choose new benefits varies greatly from business to business. Given that the majority of HR departments keep data in disparate spreadsheets, even if some HR departments conduct employee surveys or historical cost analyses, they often do not integrate the data about their workforce. If a new benefit offering is chosen based on a needs analysis, only some know the “why” behind a request from the workforce. Knowing how many employees are logging into a benefit platform is helpful; market standard benefit utilization reports provide this level of information. Yet they do not give insight into the underlying reason for an employee to utilize a benefit. The user of deeper analytics is required to look deeper into employees’ behavior.
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Article Credit: Forbes
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