Analytics: supporting data-driven decision-making

How process and insight come together to support data-driven decision making

As commonly used, the term analytics has two meanings.

In the first instance, analytics describes a process. Specifically: “a process in which a computer examines information using mathematical methods in order to find useful patterns.”

When we talk about analytics as a process, we’re talking about an intelligent computer programme that receives data - sometimes historical data, sometimes real-time data, and sometimes both - before analysing it to, primarily, identity patterns.

In the second instance, analytics describes an output. Specifically: the information that results from the analytics process.

When we talk about analytics as an output, we’re talking about insights. These insights can then be used to inform and support data-driven decision making, and bridge the gap between information and action.

The right analytics solution should paint a complete picture of your risk environment

In the construction and similar industries, such as manufacturing or rail, harnessing the power of analytics as both a process and an output is a necessity to reduce risk from exposure to dangerous conditions or hazards. Collecting and analysing data, without more, isn’t enough - teams must take the next step and actually use the information generated by their analytics programmes to take action: identify areas of concern, uncover opportunities for enhanced efficiency, and implement improved controls.

And - as is the case in many sectors or industries - teams should endeavour to gain as clear and complete a picture of their risk environment as possible. But taking action or painting a picture of your total risk environment shouldn’t be difficult, and shouldn’t require multiple analytics programmes that collect information from disparate, unconnected data sources.

Compiling and understanding those insights would require too much effort from teams or duty holders, who require fast, reliable information that moves at the pace of their operations.

Reactec’s integrated approach to analytics enables immediate action

Reactec’s world-class ecosystem of workplace wearable technology and powerful cloud-based Analytics software offers teams a uniquely streamlined approach to managing their workplace risk.

By overlaying insight about individual employees’ risk from exposure to multiple sources, including vibration, proximity to hazards, noise, and dust, Reactec’s Analytics offers teams an unprecedented 360-degree view of their workplace risk environment.
This integrated approach - which seamlessly combines hardware and software - gives individual employees, teams, and duty holders the opportunity to consider all the facts before taking swift, meaningful action.

Further, Reactec’s approach doesn’t require teams to do any heavy lifting when it comes to using or understanding critical analytics: not only are analytics reports accessible 24/7 from any location where a computer and an internet connection are available, Reactec can also automate your analytics reports and send you alerts or selected information automatically, at a cadence that works for you and your team.

Agile teams require agile solutions

The result of this integrated, 360-degree approach to analytics is a workplace that’s built on data and intention, not on guesswork or out-of-date methodologies for calculating or managing exposure to risk.

Upgrading your approach to risk management in the workplace starts with getting the right tools in place to do the job. And much like the members of your team - who are expected to move between tasks, sites, or tools on a daily basis - you should deploy a solution that’s agile, dynamic, and responsive to your specific needs and goals.

To learn more about our unique, powerful Analytics, just get in touch with a member of our expert team:

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