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Motorola Solutions, Inc. (NYSE: MSI), through its strategic investment arm Motorola Solutions Venture Capital, has announced an investment in B2M Solutions, a provider of mobile device analytics and process optimization software for enterprise customers. The funds will be used to expand B2M’s marketing and sales activities.
“Today, mobile analytics primarily focus on the data that is captured within an application. B2M offers the ability to provide analytics at the device level, as well as the system and infrastructure levels,” said Tony Palcheck, managing director, Motorola Solutions Venture Capital. “B2M’s ability to combine application analytics with lower-level, detailed data on the overall system gives business managers new insight into the utilization and effectiveness of mobile devices in their operations, and provides keen insights for how to improve those operations.”
B2M Solutions CEO Julie Purves said, “We believe the strategic investment from Motorola Solutions Venture Capital will help accelerate the adoption of our optimization and analytics solutions for mobile enterprise deployments. Agility, adaptability and customer-driven learning help us deliver mission-critical mobile solutions that demonstrate real value across end-users, processes and the entire mobile ecosystem.”
B2M’s cloud-based Elemez mobility solution was built to optimize the mobile device and the processes controlling it. With the B2M Elemez product and its integration into the corresponding backend operational systems, business managers are able to receive real-time, mission-relevant data and analysis to make more informed business decisions that improve worker productivity, processes and revenue potential.
B2M Elemez incorporates device-specific analytics such as signal strength, battery utilization and application utilization, customized to the OEM device. By collecting and analyzing this data over a period of time and specific groups of devices, managers can spot patterns of failures and issues. Armed with this information, proactive action can be taken to quickly isolate, fix and even predict issues while devices continue operating in the field.