Challenge: Needed advanced data analytics capabilities to analyze performance data so that IMS could enhance their leadership position in the usage-based insurance market.
Solution: The Pentaho platform provides predictive analytics and data visualization capabilities.
Intelligent Mechatronic Systems (IMS) is a leader in connected car and telematics technology that enables drivers to be safer, smarter and greener.
IMS wanted to further their leadership position in the usage-based insurance (UBI) market, where a remote sensor in a car or smartphone app monitors the customer's driving performance so insurers can adjust rates accordingly. This means they needed advanced real-time big data analytics capabilities.
IMS also sought an easy way to pull from a set of industry insurance data that was growing by 1.6 billion data points per day. Furthermore, that data had to be presented in real time from different databases that track driving behavior (speed, acceleration, braking, cornering, gas mileage, and so on), vehicle data (VIN, engine rpm, battery voltage, DTC codes, and so on) and trip data (distance, time and date, and GPS location).
IMS needed access to all driver data, as they wanted to provide insurers with the ability to monitor their UBI programs' success. They wanted to enable drivers to understand how their improved, and safer driving behavior could positively impact the environment. This concept evolved into what IMS calls the Business Center, which allows insurers to manage the growth and health of their UBI programs by providing responsive dashboards and data visualizations. The Business Center also empowers customer support teams to better manage programs by providing integrated support tools for customer support representatives to investigate and manage issues.
IMS leveraged the entire Pentaho platform, from data collection, management, and predictive analytics to data visualization capabilities. Hitachi Vantara's big data integration and analytics solution was able to provide a complete ETL tool and embeddable analytics. Additionally, Pentaho provided LDAP compatibility and a flexible security model that supported IMS' privacy needs. The extensible Java-based platform was able to accommodate integration needs that IMS had for future big data technologies.
"The UBI business requires fast access to data and almost real-time analysis of that data in order to analyze driver behavior and determine appropriate insurance rates," said Dr. Ben Miners, Vice President, Innovation with IMS. "Pentaho delivered not only the data analysis performance we needed, but also provided highly customizable reporting dashboards that give our customers greater flexibility and self-service reporting capabilities."
Thanks to Pentaho's big data analytics solution, IMS is now able to provide their customers with automated dashboards and flexible reporting capabilities. Their customers now have access to a visual update showing diagnostics on program health, indicators of potentially fraudulent user behavior, and other key performance indicators. These reports and dashboard are backed by some of the industry's most advanced data analysis and machine learning algorithms to ensure the highest level of accuracy in recognizing driver behavior through IMS' automated driver detection capabilities.
Pentaho can easily accommodate IMS' growing data volumes. Over the past 2 years alone, they have analyzed about 5 trillion data points. Fast go-to-market with differentiated business intelligence capabilities, seamlessly embedded within existing IMS solution. Provide insurance clients with expanded analytics from program effectiveness, potential fraudulent user behavior to other key performance indicators.