For many years, measuring the productivity of employees was a practice that relied entirely on guesswork. Managers needed to use their intuition in order to refine internal procedures. However, the invention of data analytics solutions has meant that increasing productivity has been narrowed down to a science.
Companies from SME’s to multinational corporations have started to use analytics solutions to measure their productivity. Breaking a workforce down to segmented demographics has helped to increase transparency in modern organizations. In this article, we break down how analytics solutions can be used to increase productivity in the workplace and eradicate inefficiency.
1. Automated Schedule Production
One of the main ways analytics can help to boost productivity is by automating the schedule production process. Many managers struggle to compile a productive schedule when managing a large team. This is problematic because a badly designed schedule can decrease productivity and alienate even the most loyal employees.
Rather than having a manager spend hours refining the schedule manually, you can employ an analytics solution to do it for you instead. Using data compiled from your workforce, an analytics solution will allocate shifts to your employees based on when they’re most productive. For example, if you have staff who perform consistently well on day shifts but poorly on night shifts will be able to accommodate for that.
2. Pattern Recognition
Most organizations have established internal procedures that they aim to adhere to. However, it can be extremely difficult to identify if these procedures are optimized for efficiency without pattern recognition in place. This is where an analytics solution with pattern recognition will be able to provide insights that are hidden from the human eye.
For example, if you’re running a sales department that’s targeting existing clients with new products, it's very difficult to track how efficient this is based on KPI’s and staff opinion alone. However, if you have an active analytics platform it will be instantly able to show you if call times increase and revenue stagnates.
3. Make Your Workforce Accountable
On many levels, deploying an analytics solution makes you and your staff accountable. Without workforce analytics in place its very difficult to identify who is performing well. This is far from ideal because you need to be able to diagnose inefficiency before you are able to fix it. Recording data on your employee’s performance makes them accountable.
You could use an analytics solution to flag that certain members of your sales team are lagging behind other staff. You could then implement a plan to improve their performance by providing additional training to boost their skills. Using such a solution allows you to come up with a targeted plan to help your team become more efficient.
4. Improving Employee Wellbeing
It’s no secret that analytics solutions are helping to increase productivity, however, it is easy to forget that they are also a great way to improve employee wellbeing. The more you understand what makes your staff productive, the more you can increase their engagement with your organization.
For example, if you segment your audience into age groups you’re going to improve your understanding of what your employees expect and what motivates them to succeed. An employee who is close to retirement will have vastly different needs to a new hire in their early twenties. Identifying the individual needs of your employees can help you to find ways to provide them with benefits in terms of incentives and rewards.
Analytics Help Deliver Informed Decision Making
Ultimately analytics solutions help to eliminate guesswork and bring about informed decision making. Until you have concrete data in front of you, it is nearly impossible to identify how well your organization is performing. Above all else, deploying an analytics platform helps to make insight-driven improvements to your company.
If you’re serious about increasing your turnover and boosting the productivity of your workforce analytics is a prerequisite. If you don’t have a platform that generates data about your employee’s performance then you’re never going to be able to get to the root of internal inefficiency. The first step on the road towards productivity is to identify where there is a problem.