Mobility Analytics Software

Mobility analytics software visualizing floating car data for big data analytics

Mobility analytics software empowers data analysts with an easy-to-use tool to extract impactful insights out of massive amounts of mobility data for all types of mobility use cases.


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Index topics ‘Mobility Analytics Software’

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Why is mobility analytics software important today

The digitization of society and the electrification of transport are fueling the explosion of Internet-of-Things devices and are accelerating the connectivity across the entire mobility ecosystem.

Consequently, mobility is undergoing one of the most transformational shifts of a generation. As a result of this connectivity, new technological innovations and the widespread use of trackers and sensors are generating huge volumes of mobility data every day.

By embracing innovation, sustainable and smart mobility goals to reduce emissions, to create safer roads, and to improve the quality of life, can be achieved at an accelerated pace.

By leveraging mobility analytics software, we’re able to act on mobility data to successfully navigate the digital transformation and improve how we live, work, and travel.

“The solution enables our customers to quickly and easily use INRIX data for traffic-related analysis purposes and to immediately gain important insights for planning purposes without any programming effort. is the perfect complementary tool to INRIX’s proposition.”

Holger Hochguertel, Director of Sales and BD at INRIX

No-code mobility analytics software for fast and innovative insights

Mobility analytics software visualizing trips data by INRIX to analyze speed profiles in the city of Hamburg, Germany

Mobility analytics software empowers data analysts with a self-service analytics platform that requires no coding, specialized knowledge,or custom integrations to perform advanced analytics out of massive amounts of mobility location data.

Highly-skilled software engineers with years of experience in the location intelligence industry have designed the architecture of’s mobility analytics platform with “self-service analytics” and “ease of use” as core values.

Once you have your data ready, getting started with a no-code mobility analytics platform is easy. You only need to:

  1. Connect your floating car data or any other mobility location data to the platform

  2. Define your areas of interest at the scale of a country, city, neighborhood or street

  3. Visually analyze your data with advanced integrated tools

  4. Share your insights and analytical reports


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Why many companies are not benefiting from mobility data

Mobility data is only as good as the insights you gain from it. Unfortunately, many companies and organizations are not utilizing or fully maximizing the opportunities mobility data analysis offers, because:

  • Existing mobility analytics software is too complicated to use

  • Building your own mobility data platform requires too much specialized knowledge

  • Building your own mobility data tool takes up too much time and budget

  • “I’m not familiar with data analytics, I wouldn’t know where to start”

Rome wasn’t built in a day. There are many complicated steps involved when building your own mobility analytics tool.

  • You need to write specialized algorithms.

  •  You need to visualize and validate the data.

  • You need to iterate and improve the process …

Most of all, you need to provide interactive mobility analytics while visualizing huge amounts of mobility data points. After all, real value comes from analyzing the big picture.

Self-service mobility analytics workflow versus a traditional data science workflow to illustrate how the former saves time to insight
Building your own mobility analytics platform is a time-consuming and expensive task where typically an in-house data science team or an external consultancy company needs to be involved.

A traditional data science workflow requires you to spend 90% of your time developing algorithms and visualizations before you can start discovering value from your data.

A no-code mobility analytics platform uses an instant self-service workflow and eliminates those time-consuming steps.

Now you can spend 90% of your time discovering insights out of your data while only spending 10% doing the preparations.

Maximize your opportunities with no-code mobility analytics software

Ease of use and usability by all are major driving forces behind the architecture of efficient mobility analytics software. There is no need to code custom algorithms to process and visualize the data, and there is no need to be a data expert to start using all the capabilities the mobility analytics platform offers.

If you have the data, discovering impactful mobility insights is as simple as drag’n’dropping a CSV file into the analytical engine of’s mobility data platform.

Mobility analytics software takes care of ingesting, compressing, storing, visualizing, and analyzing your data so that all city authorities, technology companies, and mobility data analysts are able to transform abstract mobility data into concrete and actionable insights from day one.

Mobility analytics software easily scaling to billions of data points

Mobility data platform easily visualizing millions of floating car data records

Mobility analytics software provides a future-proof big data visualization and analytics solution that easily scales over one billion mobility data records. While visualizing these vast amounts of data, the platform maintains full capacity of its interactive features at a fast update rate.

Interesting to remember! The mobility analytics platform can be operated through any browser and on any device, eliminating the need for a costly computer adjusted to handle big data analytics.


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Meet the need to analyze today and tomorrow

Every day oceans of mobility data are generated by connected cars, Internet-of-Things (IoT) technology, traffic counting sensors, mobile devices, and much more. As a result of dominant mobility trends, such as connectivity and electrification, mobility data generation is accelerating at an astonishing rate. A powerful analytics tool must be able to carry the volumes of data generated today, but also of tomorrow.

The ‘future of mobility’ is a popular expression in the smart mobility industry. But what if the future is already at our doorstep? A study by McKinsey indicates that 50 percent of new vehicles sold today are connected vehicles and will increase to 95 percent by 2030.

Digital transformation has already begun. The data to monitor, learn, and improve is here today. However, the real value lies behind the macro picture. Mobility data analysts need to be armed with a powerful tool able to visualize and analyze mobility data at scale.

Data from one vehicle journey will not tell us much, but connected car data from millions of vehicles provides the world with detailed information about mobility flow and driving experience necessary to understand how we live, work, and travel.

Customers of our mobility analytics platform are already dealing with huge data sets and will do so even more in the future.

Visualize the big picture with future-proof and scalable mobility analytics

A scalable mobility analytics platform secures city authorities, mobility technology companies, car manufacturers, and other industry companies with a future-proof data analytics tool capable of leveraging billions of data points from any type of mobility location data. This includes floating car data, traffic counting data, camera feeds, people flow data, time series data, weather data, and much more.

Mobility analytics tool scaling to billions of mobility location records while open source and traditional GIS or BI tools can not

Traditional GIS and open-source data analytics tools can’t handle the mobility data volume of today. They quickly crash, they don’t provide the necessary interactivity, and they force the analyst to upload the mobility data in pieces for fragmented analysis. Visualizing the big picture should be the standard for any mobility data analyst.

The scalable architecture of mobility analytics software enables the data analyst to:

  1. Visualize months of any mobility location data

  2. Step beyond the visualization part to perform advanced analytics at a macro or micro scale.

Using a scalable mobility analytics tool, the analyst can analyze at a global level or zoom in on neighborhoods and streets to perform local analytics.

Combine multiple data sets for contextual mobility analytics

Time series data visualized in a mobility analytics tool to combine multiple data sets and analyze our dynamic world

Mobility analytics software enables data analysts to understand our dynamic world by combining multiple mobility data sets originating from different sources, such as connected vehicles, camera’s, IoT technology, traffic counting sensors, and more.

The ability to put data into context has never been more important than today. Adding multiple data sets and creating a layered analytical experience has become an invaluable feature for mobility data analysts to gain a wider understanding of what mobility means and what impact it has on the world.


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Bring your own data and create context

The data agnostic character of mobility analytics software enables data analysts to bring their own data (BYOD) or visualize any mobility data acquired from providers, such as INRIX, otonomo, HERE Technologies, Wejo, TomTom, and others. The data platform adapts to any spatial-temporal data as long as it contains an identifier, location, and timestamp.

This flexibility casts a wide net of leverageable data sources and creates unique opportunities for the data analyst to gain contextual mobility insights by not only combining floating car data with other traffic data, but also by combining it with time series data, people flow data, weather data, pollution data, and more.

By providing unparalleled processing of all mobility data types, a flexible mobility analytics platform empowers data analysts with a scalable and interactive tool capable of bringing all the mobility data together in one picture to perform layered analytics customized to the needs of the analyst.

Mobility analytics software powered with advanced interactivity

Advanced interactive mobility analytics for use cases such as traffic congestion, velocity profiles, impact analysis, origin destination, trend analysis, and more.

Mobility analytics software steps beyond data visualization. It provides advanced analytical tools that offer detailed interactivity at a fast-update rate for mobility analysts to gather insights out of billions of mobility data records.

Visualizing the big picture is the first step towards extracting real business value, but the capability to dig in the data and to perform dynamic on-demand analysis is key to obtain valuable information quickly.

All analytical tools of the platform are designed to extract the most value out of mobility data and tailored to meet the requirements of every mobility data analyst.

Get the most out of your data with advanced interactive analytics

The main analytical feature of the mobility analytics platform is called the Visual Analytics page.

This page is where mobility data analysts will spend most of their time. It offers three different, but interconnected, views on the same data set. Each view enables the data analyst to interact with and filter the data according to the analytical requirements.

  • Heatmap: This screen visualizes total coverage of the mobility data set. It’s able to process billions of records with a sub-second update rate while maintaining interactivity. For example, by zooming in and out on the map.

  • Timeline: Using this view, the data analyst can filter and analyze the data set within a chosen time range. A histogram displaying a chosen value, such as number of records, is plotted on top of the timeline.

  • Distribution panel: The third view shows the distribution of different properties, such as speed and total distance, found in the data set.
Visual mobility analytics providing advanced analytical tools to interact and navigate any mobility data

Important to remember! As all three views are interconnected, any interactivity you engage with on a particular view will have an impact on all views. For example, if you adjust the timeline to select only the first two days of a week’s worth of data, then your heatmap will display less data and the distribution panel will also update accordingly.


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Customized analytical tools for all types of mobility use cases

Users of the mobility analytics platform benefit from a wide range of additional built-in analytical tools, such as:

  • Origin Destination Analysis: Instantly visualize how much traffic is moving between your chosen areas of interest with the help of beautiful matrices.

  • Trend Analysis: Easily analyze trends and differences found in the data over any time period.

  • Distribution Analysis: Dive into the attributes of the data, such as speed and heading, to understand what is happening at a certain point in time.

  • Or thin out the data by filtering based on your areas of interest, time, or any data attribute.
Origin destination matrix exemplifying how one can perform advanced interactive analytics to determine traffic between different locations
Origin destination matrix showing traffic activity between neighborhoods in Hamburg, Germany

The mobility analytics platform brings a unique edge to the market as it unites scalability and interactivity. Even more, your computer doesn’t require powerful computational power to interactively analyze billions of mobility data records. You can use your regular computer, your smartphone, or any device.

Share mobility analytics reports, build dashboards, embed

Mobility analytics software enables you to interactively share your data visualizations and analytical discoveries with the world. Build beautiful dashboards and analytical reports to share them with colleagues, prospects, stakeholders, or with anyone you like.

Whether you need to create an analytical report for an internal presentation, pitch an idea to prospects, inform your stakeholders, send an article to the press, or if you want to use your data visualizations for marketing purposes, the essence remains the same.

The ability to properly explain what you’re doing and what you have discovered is as important as your analysis itself.

How to interactively share your insights and deliver a convincing message

There are a couple of ways you can share what you’re doing with your data on the mobility analytics platform.

Firstly, as explained in further detail in the chapter ‘Advanced Interactivity’, the analytics platform provides different analytical pages where the analyst can perform specialized tasks to dive deeper into the data and extract specific insights.

Using a special link, that you can generate at any time, you’re able to share your visualizations and insights from all analytical pages available on the mobility analytics platform. These include Visual Analytics, Trend Analytics, Origin Destination Analytics, and Distribution Analytics.

Sharing insights out of mobility data illustrated by a traffic congestion use case in the city of Hamburg

When you share your special link with a colleague, prospect, or the press, they can see your mobility data visualizations just like they would if they were users of the platform themselves. Click here or on the picture above to see for yourself.

They can interact with the data and the platform to gain a better understanding of what they are looking at. For example, by zooming in and out on the heatmap or by filtering on the timeline.

However, you stay in full control deciding with who you wish to share your special link and for how long it remains active. People can’t access your data and if you deactivate the link, nobody will be able to see your visualizations and analysis generated through that link.


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Data has many stories to tell … Start building yours!

A second way to share your insights is by using an embed code that enables you to integrate and visualize data stories and insights in an interactive way into your own platform, website, or blog post.

Just as with the shared link, you can apply the embed code for any analytical page on the mobility platform.

Thirdly, and most importantly, you’re able to construct data stories and analytical reports by building beautiful interactive dashboards with widgets displaying maps, timelines, bar charts, or any other specialized analytical tool the mobility data platform offers. And of course, you can share or embed your dashboard to communicate your story.

People understand things a lot better and faster if we present them in a visually appealing way.

Sharing your insights and analytical reports using a special link or an embed code simplifies how you wish to communicate your data story and empowers you to deliver a convincing message to your stakeholders, customers and prospects, or to the press.

All-In-One Mobility Analytics Software Platform

All in one mobility analytics platform providing scalability, interactivity, combining of different data sources, and more

Mobility analytics software brings the most essential data visualization capabilities and analytical features for mobility data analysts together in one accessible and powerful platform that cuts back time to insights from months to minutes.

During each chapter of this article, we have expanded on separate features that we believe are vital to strengthen the capabilities of mobility data analysts. We believe each feature empowers analysts to gain a better understanding of their data and to make better use of their time.


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All essential analytical features combined in one platform

Here is a quick summary of the most important features the mobility analytics software brings together.

  1. Self-service mobility analytics requiring no coding or specialized knowledge to get started
    Avoid writing specialized scripts and other time-consuming steps involved with mobility data analytics. There is no need to reinvent the wheel. Make sure that anyone can discover insights from data without needing to be a data scientist.

  2. Powerful platform scaling to over a billion location records
    Real value comes from analyzing the big picture. As connectivity and IoT devices are dominating the mobility industry, you need to be able to handle the current and future data generation. You can’t rely on an open-source tool that crashes after visualizing 250MB.

  3. Bring your own data and combine multiple data sets
    As long as your mobility data contains a location and a timestamp, then’s mobility analytics platform is compatible with any data you have collected yourself or bought from data providers, such as INRIX, otonomo, HERE Technologies, TomTom, Wejo, and any others.

  4. Navigate your data with advanced interactivity and various analytical pages
    Step beyond visualization. Perform dynamic on-demand analysis using a wide array of advanced analytical features that enable you to dig in the data and extract the insights you need.

  5. Share your insights and analytical reports with dashboards, shared links, or an embed code
    People are visual. Whether you need to create an analytical report for internal purposes, pitch an idea to prospects, inform your stakeholders or the press, or use it for marketing purposes, people will always understand best if you can share your insights in a visually appealing way.

Even though each feature on its own provides an interesting vantage point and adds great value to the toolkit of a data analyst, the real magic happens when they are brought together and are accessible in one platform.

One big data analytics platform for the mobility industry

The inspiration to bring everything together and create an all-in-one analytics platform leads to the idea and architecture behind’s mobility analytics software.

The founders of are veterans of the location intelligence industry who experienced many companies deal with challenges centered around accessibility, scalability, and interactivity in the mobility analytics industry.

They noticed a lot of companies couldn’t benefit from big data analytics because it wasn’t accessible enough without them needing to hire a specialized team and spend a big budget.

Therefore, Lida Joly and Bart Adams have carefully thought out how to equip mobility data analysts with a powerful self-service analytics tool that is easy to use and scales to the vast amounts of mobility data generated today.

How was built to support the exploding amount of location-based IoT technology
  • Most mobility data platforms can’t scale to hundreds of millions, let alone to billions of location records.
  • Most analytical tools can’t provide responsive interactivity with big data, let alone provide advanced analytical features such as trend analytics and origin destination.
  • Most analytical software can’t be operated without specialized knowledge, let alone for anyone to apply a self-service method and enable to go from uploading data to extracting insights in one day.
  • Most platforms don’t allow you to bring your own data, let alone to combine any other location data sets on top of each other.

Most importantly, no mobility analytics platform provides all the above together in one platform and enables you to create analytical reports to share with your audience or stakeholders.

By bringing these essential features together,’s mobility analytics software provides a unique analytical experience that equips analysts with everything they need to gather intelligence from any type of mobility data for any type of use case.


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