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In today’s commercial fleet world, fleet managers have access to more vehicle and operational data than ever before. While this data has certainly proven its innovative value in areas like diagnostics, driver management and route optimization, fleet managers have also reached a point where the volume of incoming information can feel like a burden to manage.

As many fleet vehicles on the road are now ‘connected,’ McKinsey & Company has reported that the average connected vehicle generates about 25 gigabytes of data every hour. That’s a lot of information to process and try to generate effective insights.

In a recent article written by Pitstop, a predictive maintenance solution provider among the Roadz ecosystem, the company’s CEO Shiva Bhardwaj shared his thoughts on this concept of ‘data overload’ and where it comes from. The good news is, we’re providing a resolution for the challenge.

As Bhardwaj states in his article, “A fleet must increase its focus on predictive maintenance and be able to create data visualizations that tell a clear story of effectiveness and efficiency.”

Rather than becoming overwhelmed by ‘data overload’, fleet managers can use accessible information to their advantage. When apps used by a fleet are connected in an ecosystem with a unified interface, fleet managers become empowered by their solutions. Suddenly data is integrated across different platforms and instead of manually parsing data app by app, fleet managers are able to see a more holistic and connected view of their fleets. This gives them the power to take incoming data and turn it into actionable insights.

A clear story for fleets can be made possible with ecosystems like the Roadz Marketplace. Together with powerful solutions like Pitstop, we can simplify the many responsibilities of fleet managers and help them improve safety, efficiency and profitability of their fleets.

Pitstop offers predictive fleet maintenance solutions that enable fleets to take advantage of insights on the health of fleet vehicles, predictions of equipment failure and overall cost savings. To read the full article from Pipstop on the challenge of data overload, click below.

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