Datameer Case Studies Vivint Drives Smart Home Automation With Datameer

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	Vivint Drives Smart Home Automation With Datameer Datameer

Vivint Drives Smart Home Automation With Datameer

Datameer

Technology Category	Analytics & Modeling - Big Data Analytics Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries	Buildings
Applicable Functions	Facility Management
Use Cases	Building Automation & Control Predictive Maintenance
Services	Data Science Services
Challenge	Vivint, the largest home automation company in North America, was facing a challenge with their analytics infrastructure platform, Hadoop. The team was spending too much time on mundane, technical tasks preparing and integrating the data rather than doing actual, value-added analysis. They were looking for a solution that could make their staff more efficient and seamlessly integrate with their Hadoop analytics platform. Another key consideration was the ability to integrate and analyze not just row data but also streaming data, which is a key component to their smart home analytics solution to big data for Internet of Things. Read More
About Customer	Vivint is the largest home automation company in North America, leading the charge in the data-driven, connected home movement. The company serves more than 800,000 homes with its touchscreen panel, the hub through which all of their other products communicate. This creates a streamlined network that connects all of the home’s smart systems including security, HVAC, lighting, small appliances, video, and other devices. As a part of the Internet of Things and big data, Vivint’s solutions enable homes to be smarter, safer, and more energy efficient for its customers. Read More
Solution	After reviewing a number of technology options, Vivint selected Datameer as their big data analytics solution. Datameer is used to join and analyze terabytes worth of data collected from its Internet of Things solution and various in-home automation, security, and energy management devices, including thermostats, smoke alarms, automatic locks and door and window sensors to better understand usage patterns and improve services. Unlike most traditional business intelligence or data analytics tools that sit on top of traditional databases and require data modeling, Datameer uses Hadoop as its underlying storage and compute platform. This allows analysts to work with raw structured, semi-structured, and unstructured data sources fluidly when dealing with big data and Internet of Things. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Application Infrastructure & Middleware - Data Exchange & Integration

Applicable Industries

Buildings

Applicable Functions

Facility Management

Use Cases

Building Automation & Control

Predictive Maintenance

Services

Data Science Services

Challenge

Vivint, the largest home automation company in North America, was facing a challenge with their analytics infrastructure platform, Hadoop. The team was spending too much time on mundane, technical tasks preparing and integrating the data rather than doing actual, value-added analysis. They were looking for a solution that could make their staff more efficient and seamlessly integrate with their Hadoop analytics platform. Another key consideration was the ability to integrate and analyze not just row data but also streaming data, which is a key component to their smart home analytics solution to big data for Internet of Things.

About Customer

Vivint is the largest home automation company in North America, leading the charge in the data-driven, connected home movement. The company serves more than 800,000 homes with its touchscreen panel, the hub through which all of their other products communicate. This creates a streamlined network that connects all of the home’s smart systems including security, HVAC, lighting, small appliances, video, and other devices. As a part of the Internet of Things and big data, Vivint’s solutions enable homes to be smarter, safer, and more energy efficient for its customers.

Solution

After reviewing a number of technology options, Vivint selected Datameer as their big data analytics solution. Datameer is used to join and analyze terabytes worth of data collected from its Internet of Things solution and various in-home automation, security, and energy management devices, including thermostats, smoke alarms, automatic locks and door and window sensors to better understand usage patterns and improve services. Unlike most traditional business intelligence or data analytics tools that sit on top of traditional databases and require data modeling, Datameer uses Hadoop as its underlying storage and compute platform. This allows analysts to work with raw structured, semi-structured, and unstructured data sources fluidly when dealing with big data and Internet of Things.

Impact #1	Vivint analysts use Datameer to parse, join and sessionize various complex data streams to determine occupancy and vacancy patterns in an effort to reduce the number of false alarms and improve the overall efficiency of their devices.
Impact #2	Analysts at Vivint are relying on Datameer to quickly and easily integrate data streams into Hadoop and then join and analyze the data streams with Datameer’s easy-to-use, spreadsheet-like interface in minutes.

Impact #1

Vivint analysts use Datameer to parse, join and sessionize various complex data streams to determine occupancy and vacancy patterns in an effort to reduce the number of false alarms and improve the overall efficiency of their devices.

Impact #2

Analysts at Vivint are relying on Datameer to quickly and easily integrate data streams into Hadoop and then join and analyze the data streams with Datameer’s easy-to-use, spreadsheet-like interface in minutes.

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Overview

Vivint Drives Smart Home Automation With Datameer

Operational Impact