Big data is used for more than business performance and marketing purposes. Data can also measure employee performance, satisfaction, and productivity factors. Many corporations are using big data to form stronger company cultures, to schedule around the frequently ill, and see who is using paid time for personal tasks. Using this data helps a business improve practices and strengthen workforces for brand success.
Performance and productivity concerns are common in any business. It is a good idea to use data to see where and why productivity is lacking. It can come down to several points from employee satisfaction to the age of the equipment available. You can also see what employees are using company computers for, including for personal use, which deters productivity.
What your company can learn from using data to track productivity concerns is what part or parts of the day employees are accessing non work-related content using company-issued equipment and/or what tasks they are procrastinating completion of. This information is helpful because you can make changes to employee practices, methods of completion, and the work environment to improve productivity.
Increased Illness Probability
There is technology in the data collection industry available that helps employers detect which employees may be the most susceptible to illness. When an employer knows an employee is frequently ill, a contract worker or floating replacement position can be created to cover those missed shifts. It also allows the employer to address the issue with the employee to better understand the underlying circumstances around the frequent illnesses.
When companies are without employees, even for one day, it puts stress on the rest of the workforce and the performance of the company. With frequent call-offs due to illness, it causes frequent friction in the workforce.
Efficiency in the Workforce
You can gauge the efficiency of each employee in the workplace with the use of proper data collection tactics. You can use this data to implement the use of tools, especially for those suffering with email marketing strategies, to create a more efficient department that produces results. Implementing the use of tools for cohesive product completion, symmetry in communications delivery, and employee stress reduction purposes produce tasks that are complete, error-free, and results producing.
Determine Sabotaging Staff
While this is not a common problem in the workplace, situations do arise when an employee may be working to sabotage another or the entire company. This discerning behavior likely stems from jealousy or position envy. You can view the working relationships between departments and individual co-workers by evaluating work performance, efficiency, task completion times, and the physical interactions viewed between department members. Those that appear to have an alternative motive should be spoken to and their intentions should be made known. An employee that is unwilling to reveal his or her true intentions may be a danger to the company’s overall culture and a replacement may be the proper option.
Prevent Employee Separation
Data can help a company identify which employees are the most likely to terminate their employment. Most of the time these separations are due to the lack of annual raises or cost of living increases. Some companies do not provide annual raises as some have implemented bonus programs for deserving employees. Performance and efficiency data analysis alerts supervisory staff of the employees who are performing above expectancy levels and those who are underperforming. Incentive programs can be initiated to improve the atmosphere in the entire workforce and have employees putting in more effort to receive bonuses.
Stronger Company Culture Development
Improving company culture helps retain more long-standing employees. It also helps the business run smoothly and with few complications. By using data from employee satisfaction surveys and general assessments, you can see where the issues are in the company and implement necessary changes. The result will be better employee attendance, improved employee engagement and better performance. These elements result in improved brand reputations, stronger industry presence, and increased revenues.
When addressing employees regarding issues found from data analysis results, it is important to provide those results in black and white. Transparency is important in employee/employer relationships of this manner as it helps employees improve. It shows them that they have been underperforming and where. This strengthens a company as a whole.