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Productivity Analytics With AI To Take Productivity To The Next Level

In the age of the Internet of Things (IoT), when companies can effortlessly monitor the performance and placement of millions of devices, it is surprising that there is little insight into how employees spend their time and use key business applications. With that requirement, analytics are increasingly being deployed and are becoming the foundation for business decisions that drive organizational change.

Productivity analytics have become an indispensable tool that gives valuable insight into employees’ time management, user productivity, workplace collaboration and more. Analysis of productivity helps organizations pinpoint all activities that lead to errors, identify gaps, mark applications that are under-utilized, gain insight into the workflow and detect inefficiencies. This situation analysis leads to rectifications and acts as the groundwork to form better mechanisms at workplace productivity.

For example, if a marketing team spends 50% of their time attending meetings and not enough time in exploring creative solutions, the data can be captured and put through AI-driven tools to help managers ascertain new strategies to reduce meeting times and focus on increasing productivity.

Productivity analytics tools are crucial to organizational agility, providing management with a comprehensive view of how employees are interacting with key business applications. These applications include everything from your employee onboarding suite to sales CRMs and customer support applications. Managers can now monitor behavior patterns in real-time with AI to know if and where employees are struggling with their software to effectively perform everyday tasks. Tech giants like Microsoft are creating intuitive AI-technologies, that present information through simple dashboards providing relevant insights into employee time management, workplace collaboration and user productivity.

Deloitte’s LaborWise tool provides company leaders and managers to identify areas where labor costs are too high, impediments that slow people down, and departments that need additional staff.

Analytics also enables managers to identify training needs and address them rapidly, before employees lose interest and seek greener pastures.

It’s not just the management that benefits from employee productivity analytics; smoother business processes and improved collaboration result in a more engaged workforce as well. By increasing engagement, you can positively impact both employee job satisfaction and the company’s bottom line.

Finally, perhaps one of the most important applications of productivity analysis is that it provides HR teams and managers a granular view into an employee’s engagement levels. It helps you determine whether your organization’s collaboration patterns are good for business and if workloads are equally distributed among employees and teams.

  • Posted Date: 11-MAR-2020