Leading smart home security and automation services company Vivint is a successful and loyal Tableau user. When its customers grew to 1.2M, its data got big. (Smart home devices started generating 25K+ events per second.) It was time to up the innovation game. The solution set had to work within budget and work well with the BI tools users across the organization were already using to drive successful insights: Tableau and Excel.
Brandon Bunker explains how Vivint delivers fast analytics from big data on a bootstrap budget by leveraging Tableau as a strategic piece of its modern BI architecture. By interactively analyzing data as it lands in its Cloudera Hadoop data lake, Vivint is able to deliver security across homes and data alike, making smart homes even smarter and saving customers money in the process—all while consuming less energy.
• Why Vivint chose to go with analytics live on big data (with Hadoop) to drive insights
• How it successfully made the transition (the plan, challenges, achievements, and lessons learned)
• Which analytics use cases helped to prove value fast for both customers and company
This session is sponsored by Tableau.
Brandon Bunker is the senior director of artificial intelligence at Vivint, where he and his team have developed the world’s first smart home assistant that truly understands home occupancy, helping Vivint’s customers save money, energy, and time. In the past year, he scaled Vivint’s Smart Assistant from 0 to 700,000+ customers and won an editor’s choice award at CES. Brandon is passionate about using new tools and techniques to create value from data. His specialties include the IoT, big data, data science, online marketing, direct marketing analytics, social analytics, mobile analytics, segmentation, and web analytics.
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