Top Three Reasons to Consider Workforce Analytics for Distributed Workers

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The evolving nature of work continues to change at an amazing pace. While artificial intelligence, machine learning, and robotic process automation (RPA) continue to push the bounds of a back-office workforce. The fact remains, a large number of workers will be engaged in back-office operations for a long period of time. Recruitment, retention, and training remain a strategic aspect of building strong brands. With the unemployment rate at an historic rate of 3.9%, this becomes even more difficult.

To remain competitive, companies are getting creative with flexible benefit programs. One such program that is becoming more popular is work@home or flex-scheduling. The blend of on-premises, work@home, outsourced (BPO), and, frankly, just a geographically distributed workforce provides a competitive advantage. The question then becomes: how do you measure and size your workforce in a distributed environment? The answer: workforce analytics.

Here are the three biggest benefits of using workforce analytics with your distributed workers:

  1. It can help you spot process inefficiencies — in real time — and lead to more productivity and lower labor costs.
  2. It can help you better understand what motivates your team, so you can implement programs that increase employee engagement.
  3. It can help you take the guesswork out of staffing, making long-term forecasting easier and more accurate.

With any team, success depends on your ability to measure, adjust, and improve. It’s no different with your work@home or distributed work teams relative to your on-premises processing teams. Consistent measurement and analytics, regardless of work location or work hours, are important. OpenConnect’s WorkiQ can give you the real-time insights you need to make meaningful management decisions and maximize your company’s productivity.