Motorola and LexisNexis partner up on data

Motorola Solutions

Monday, 15 October, 2018

Motorola and LexisNexis partner up on data

Motorola Solutions and LexisNexis have formed a partnership that will enable US public safety organisations to better access data.

The strategic partnership with the government division of LexisNexis Risk Solutions will bring data and analytics into Motorola’s public safety software platform, enabling users to better focus investigations, detect patterns, anticipate events and deploy resources more efficiently.

“Our partnership with LexisNexis Risk Solutions enhances the intelligence capabilities available across our public safety software applications,” said Andrew Sinclair, Corporate Vice President and General Manager, Software Enterprise, Motorola Solutions.

“Our users will be able to quickly and seamlessly search across public records as well as their own agency data, and advanced analytics will generate critical insights that provide more comprehensive views of incidents, individuals and locations.”

Bringing LexisNexis Risk Solutions data into the public safety workflow will accelerate the process of gathering public information to support incidents and investigations, which today can be a manual process involving multiple databases and disconnected information. The partnership will allow public safety users to quickly discover, visualise and use connections between pieces of data.

“For almost two decades, we have served the public safety market, and we are pleased to collaborate with Motorola Solutions to create a joint solution that brings more data into public safety operations, helping solve cases faster and enhance officer safety,” said Haywood Talcove, CEO, Government Solutions, LexisNexis Risk Solutions.

“Our first responders keep our communities safe, and we are honoured to support them.”

The joint solution is expected to be available in the US as part of Motorola Solutions’ public safety software suite in early 2019.

Image credit: ©stock.adobe.com/au/annette shaff

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