Author Archives: user

Data Science vs. Data Analytics: Definitions, Differences, and Applications

“Information is the oil of the 21st century, and analytics is the combustion engine.”

These simple words, spoken by Peter Sondergaard, the former executive vice president and member of Gartner’s operating committee, perfectly illustrate the significance of data and its processing in the contemporary world. In this article, we will investigate how it impacts the automotive industry in particular and elucidate the difference between data science and data analytics to settle it once and for all.
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A Short Story of How Data Has Become a Cornerstone of Mobility Transformation 

Picture yourself in 19th-century Britain. You’re doomed to the ordeal of commuting in a horse-drawn-wheeled carriage, accompanied by a dozen of sweaty co-passengers whose heads bob religiously to the rhythm of the road bumps and cracks.

Then, one day, rail reaches your town, allowing you to venture out hundreds of miles away in an amazingly short time. The steam locomotive’s design is revolutionary, making the impossible real and massively enhancing travel comfort. This innovation feels like a breakthrough in the history of mobility, not only for you. … Read More

Choosing the best data collection solution to build your connected insurance: key things to consider

Traditionally, connected insurance uses data from IoT telematics devices to tailor premiums based on driving insights. But today, new ways of building effective connected insurance programs have come into play, like driver safety rewards programs, sustainability and green benefit programs, personalized recommendations, or cross-selling insurance products. To tap into these, insurers must deploy appropriate data collection technology. But what is ‘appropriate’ in this context? … Read More

Data science outsourcing

Data Science Outsourcing: The Missing Piece of a Winning Data-Driven Culture

The past two years’ events have re-wired business stakeholders across industries to become data-driven. In 2022, nobody questions the value of data in nurturing business growth and speed. Instead, companies are striving to secure the best data science resources that will allow them to establish a consistent, repeatable framework for data-driven decisions. Data science outsourcing might be just what they need to accomplish that goal. … Read More

Putting an Effective Fleet Driver Coaching Program into Place: Top Insights that Guarantee Driver Commitment

As valuable as fleets are, several factors challenge the productivity and profitability of their successful management, with driver safety, fuel consumption, and vehicle tear & wear being some key concerns. To address them, fleet managers need to constantly evaluate drivers, provide feedback, and coach them to reinforce good driving behaviors. To that end, they rely on advanced driver behavior analytics, which helps improve individual drivers’ styles and tailor coaching strategies for the best effect, and in a way that allows obtaining driver buy-in. … Read More

Extracting value from data generated in a connected insurance program: the long-term vision

There are many immediate benefits to launching a connected insurance program—from higher customer engagement and loyalty with rewards, coaching, and reduced claims, to new revenue streams thanks to innovative insurance products. But the jackpot, truly, lies in the long-term vision. To maintain profitability in the long haul, motor insurance companies should already think two steps ahead, reconsidering their data approach today to reap benefits tomorrow. … Read More

Motion-S rated Top 20% by Early Metrics

Leading automotive equipment supplier in Latin America, invests in aspiring Luxembourg data analytics company, Motion-S.
The company will support Motion-S as an industrial investor to revolutionize traditional automotive-related services based on rich data analytics.
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All usage-based insurance (UBI) buzzwords successful insurance professionals should know

The car insurance industry has seen many conversations around the pivotal role of digital technologies, product innovation, and customer-centricity as market differentiators. With these concepts, new terms have emerged to reflect the cutting-edge technologies and the upgraded ways of doing business. Understanding what they mean, how they differ, and what opportunities and constraints they entail, is essential to getting ahead of competitors.
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Connectivity and data plans shaping modern fleet management solutions

Devices alone aren’t enough to efficiently collect and process car data. Equally important is the configuration of the sampling rate. The frequency of data collection from the vehicle affects the quality of insights and, first and foremost, the fleet manager’s wallet.
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The classical approach to optimizing fleet usage

One in ten fleet managers uses more than 30 digital spreadsheets to do their job. Almost half complain that spreadsheet management takes too much time, distracting them from more important tasks. These numbers expose a major ongoing productivity problem inside modern fleets. Because one cannot maximize fleet utilization effectively and quickly by relying on static data and manual processes.
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