Why Maps are the Next Big Data Viz Trend

How Internet of Things is Igniting Location Analytics

Internet of Things is creating new opportunities to better understand  how customers, employees, and assets behave through device generated data. As consumers, we are participants in the “Internet of Everything” boom by using connected smartphones, cars, and home appliances.

Colorful map image with title of the post

The data we generate every day is invaluable for enterprises that can effectively analyze and communicate the impact of IoT trends. An emerging solution for sifting through troves of data to retrieve the biggest nuggets of information is location-based analytics.

For example, machine generated data from smart appliances can help manufacturers:

  • Predict consumer behavior: What demographics are acquiring smart refrigerators?
  • Improve products and predict failure:  Where are refrigerators failing and what components?
  • Optimize business processes: Where are retailers moving the highest number of units?

Article: Sand Hill- IoT and the Growing Use of Location Features in Business Intelligence Software

Location Intelligence is Peaking

While “Big Data” officially left the Gartner Advanced Analytics and Data Science Hype Cycle in 2015, Location Intelligence is peaking along with the following trends:

  • Emotion Detection/Recognition
  • Prescriptive Analytics
  • Event Stream Processing
  • Geospatial and Location Intelligence
  • Spark
  • Predictive Analytics
  • Machine Learning

locationintelligence
Original Article Source: Big Data Falls Off the Hype Cycle

Visualization as a Common Language

While Location Intelligence tools are generally more complex than traditional Business Intelligence, visualization is the common language that ultimately bridges the gap between subject / technology experts and business decision makers. 

The following big data visualization demonstrates the pulse of Chicago based on Foursquare check-ins over time.


Foursquare check-ins show the pulse of Chicago from Foursquare on Vimeo.

Do you have the same visual insight to movement, density, and location of all assets, employees, and customers within your organization? We want to hear about your IoT and Location Intelligence experiences.

 

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Meet Ryan Goodman

Ryan Goodman is CMaps Analytics CEO, author, and expert in Business Intelligence. Ryan applies over 13 years designing enterprise analytics apps to his leadership role shaping CMaps Analytics' Location Intelligence platform strategy. Today, Ryan is focused on pushing wider adoption of analytics with an emphasis on geospatial analysis and Location based services.

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