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Data Analytics

Transform Your Fleet with Big Data

 At this moment, your fleet is generating thousands of data points. This data can provide solutions to the greatest challenges facing members of the transportation industry. Predictive fleet analytics can leverage your data to build customized models that explain why events occurred, as well as suggest action plans to avoid them in the future. This insight empowers fleets to learn from past mistakes and to make intelligent decisions.

big Data is about to Change the Transportation industry as We Know It

 Everything you know about the transportation industry is about to change. Enormous wells of data, deep data analysis, and predictive modeling will empower carriers to operate more safely, efficiently, and profitably. The right fleet management analytics software can turn this paradigm shift into your competitive advantage.

Reduce accidents with Predictive Safety Analytics

 The number of accidents and injuries involving large trucks continues to rise, and according to the FMCSA, 58% involve at least one driver-related factor. With an average cost of $330,000 for an injury due to an accident, an unexpected spike in these incidents can put a fleet in serious jeopardy.

Good News : Accidents Can Be Prevented

 Contrary to popular belief, the vast majority of accidents are not random, but are the result of a gradual change in driver behavior. Fleet analytics software with predictive modeling can pick up on these subtle changes, and recommend remediation plans to address issues well before they result in dangerous behavior — and an expensive accident.

Compliance Doesn't Equal Safety

 “With the ELD mandate, fleets are acutely aware of the need to operate in accordance with current and pending regulations. Among the positive outcomes of the increased focus on hours of service management is the fact that many in the industry also recognized the critical importance of looking beyond basic compliance to ensure the safe operation of trucks on our nation’s roads,” stated Dean Croke, vice president of analytics at Omnitracs. “What many in our industry don’t realize is that it’s possible to be 100 percent compliant with HOS regulations and be sound asleep at the wheel, simultaneously. This is why we’ve developed the Accident Severity Model—to allow fleets to predict serious accidents using HoS data and proactively intervene with those drivers at highest risk for being involved.”

Don't Let Driver Shortages Slow Growth

 With rising demand and an aging workforce, there’s a great deal of discussion about future driver shortages. To provide great service to existing clients — and take advantage of new business opportunities as they arise — having enough well-trained, reliable drivers is critical. Positioning your fleet for success requires retaining current performers, and investing intelligently in promising, new talent.

Retain Your Drivers

 The trucking industry suffers from a jaw-dropping 96% annual turnover rate. It’s clear that traditional retention methods have proven to be too little, too late. The time has come for a proactive approach.


Historical data shows a clear pattern of subtle, yet impactful behavior changes that foreshadow a driver leaving. The predictive models in our transportation analysis software harness the power of this data, resulting in an impressive 13% average reduction in driver turnover across all customers

Invest Intelligently with Recruiting Analytics

 Imagine how being able to clone your best drivers would impact your opportunities for growth. In some ways, you can do just that. Identifying the traits and backgrounds that make them successful, and using that information to find similar driver candidates, increases a fleet’s chance for long-term recruiting success.


Predictive fleet analytics provides this insight before you hire and invest in human capital, minimizing expensive recruiting and training costs, and allowing you to focus on the drivers who will be around for the long haul.

Control Costs by minimizing Worker's Comp Claims

 One out of every 13 trucking industry employees has a workers’ compensation claim resulting in lost work time at an average cost of $30,000 per year. The industry has accepted this as a cost of doing business. Training and process improvements have traditionally served as the only corrective action, but have not impacted claim rates. Fleet management predictive analytics can offer a new approach.


Understanding the behavioral trends that serve as a precursor to a workers' compensation claim is key. Omnitracs' fleet analytics software detects this behavior, provides insight into the drivers most likely to make a claim, and recommends proactive strategies that can help avoid it.