How Data Analytics Enhance the Remote Work Experience

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As COVID-19 vaccinations continue to roll out, the future of the post-pandemic work environment remains unclear. Most employers are still being lenient with remote work policies; according to security company Kastle Systems’ study, only around 28% of US office workers are back in their physical offices. Whether or not this trend continues, however, is something that most companies are still debating.

Enter data analytics, described by Investopedia as the science behind analyzing raw data to gather insights from information. By studying trends and metrics, companies that are unsure about remote work can use data analytics to improve their existing systems.

How Data Analytics Boosts Remote Work

Teams working remotely rely on programs and software to streamline tasks; it’s also through these that data can be collected. Adopting new technologies and applications like data analytics can make remote working more efficient for organizations and their employees. And here’s how:

  1. Productivity

    Many employees prefer remote working options, especially those who struggle with childcare services or the high costs that come with commuting. However, employers worry that employee productivity will go down with the decreased visibility. Data analytics through work performance tracking apps can provide in-depth visibility and reporting on work efficiency so employers can monitor productivity levels for everyone.

  2. Security Compliance

    The shift to remote work has led to an increase in cybersecurity issues. As mentioned in our article, “Mitigating the Risks of Remote Work,” most security breaches are caused by social engineering — information obtained from employees online via unsecured personal devices and network environments. Education on compliance policies and security rules can help minimize these risks, but it’s not easy to convey this message or check on whether everyone is adhering to these policies in a remote work environment.

    Data analytics can look at information from activity trackers and employee surveys, so you can better understand what your employees know and which procedures are being ignored. From there, data analytics can also help you establish a security training program and choose a delivery model that suits your team.

  3. Employee Well-Being

    A happy workforce is a productive one. However, employees may face loneliness and feel unsupported by the organization as they work remotely. Data analytics can predict flight risks by measuring employee engagement levels and satisfaction. By identifying what employees are looking for, organizations can move quickly to meet those needs.

How to Improve Data Analytics for Remote Work

Organizations looking to continue remote work can improve the way they use data analytics and uncover valuable insights by:

  1. Employing Analytics Professionals

    The current technology-driven working environment means that more data is generated than ever before, which is why data and AI experts are in high demand across various industries. Today’s data professionals need to be adept at analytics, database management, forecasting and predictive modeling, and data visualization. This much is evident in the way today's data analytics professionals are trained.

    These professionals have more access to upskilling thanks to the rise of remote learning setups. Case in point, Maryville University’s online master’s degrees in business data analytics equips students with the technical know-how to combine operational data with analytical tools. By teaching online master’s programs through a business lens, students learn practical knowledge that can be applied immediately in the workplace. Having skilled data professionals who know how to collect and study data — as well as make recommendations based on data — can help your organization’s remote work setup flourish.

  2. Focus on Quality Data

    Data analysis works best with large data sets, but most companies (especially small- to mid-sized companies) have limited information on their employees. At the same time, it’s critical that what data a company can collect is clean and standardized for meaningful analytics, which can be challenging for even large companies that have employees across multiple countries. Organizations should manage the processes of collecting, storing, and organizing data with technologies like employee relationship management tools.

    In most cases, human resource departments are largely responsible for data interpretation. On the other hand, larger companies would have dedicated data specialists who can translate the information into action plans.

  3. Refine Analytics with Artificial Intelligence

    Analytics are valuable for measuring the growth and development of both individuals and departments, and this is even more true when it’s more difficult to interact face-to-face. Artificial Intelligence can enhance the analytical insights used to develop employee onboarding or training programs by making them more customized and personalized to the employee’s experience. Data from employee feedback can identify weak spots in virtual training, while a remote learning journey can be crafted based on an employee’s unique job role, existing skill sets, and future goals.

Data is a rich resource. This is why you need to go beyond just data collection and draw valuable insights. When used right, data analytics maximize every talent in your organization. Moreover, it provides business leaders with a clearer picture of where your organization needs to go and how best to do that.


Copyright © 2021 TenFour | Submitted exclusively by JBrunnert

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