Nrby, Inc., Sisense Team for Nrby VU™ to Drive More Powerful Business Intelligence

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5X ROI seen in initial service provider deployment
Nrby, Inc. a leader in dynamic location intelligence for service provider operations, and Sisense, the leading AI-driven platform for infusing analytics everywhere, announced that they have partnered to create Nrby VU™, a new business intelligence tool that provides unparalleled visibility into network events, trends, and workforce activities for broadband service providers.
Nrby and Sisense have collaborated to create customizable, multidimensional dashboards that significantly increase the operational value of the Nrby platform for operators of wired, wireless, and municipal broadband networks. Nrby VU combines Nrby’s SmartPin™ technology for delivering location intelligence with Sisense Fusion, an AI-infused analytics engine, to provide aggregated, comprehensive operational summaries of the front-line metrics that are dramatically improving business processes and ROI. Nrby VU allows operators to replace inefficient hand-written reports and siloed operations with streamlined workflows. Mobile teams use the Nrby mobile app both to report issues in real-time and to research the operational history of the assets at each SmartPin. The ability to access and act on data quickly is reducing field maintenance resource expenditures. Also Read: Island Names Ellen Roeckl as Chief Marketing Officer Nrby VU uses aggregated data from the Nrby app and operators’ existing API-connected partner monitoring systems to generate accurate and up-to-the-minute pictures of network health – including heat maps, service records, historical trends, and more – as well as predictive analytics that can shape future business and operational decisions. In an initial deployment, a prominent North American broadband operator has:“Sisense’s market-leading AI-driven capabilities are enabling Nrby customers to unlock layers of data in real-time, allowing mobile teams to expedite vital maintenance in problem areas, while at the same time giving decision makers the information needed to identify clusters of problems that could become system-wide issues.”
- Reduced wasted truck rolls by 77% percent;
- Lowered scheduled service calls by 62%; and
- Increased preventive maintenance calls by 22%.
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