Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Solving Mysteries with Location Intelligence
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Solving Mysteries with Location Intelligence
Business Intelligence

Solving Mysteries with Location Intelligence

Brett Stupakevich
Brett Stupakevich
4 Min Read
SHARE

3766407 c5e967d66c1 150x150 photo (data visualization)

3766407 c5e967d66c1 150x150 photo (data visualization)

In 1854, an outbreak of Cholera in London killed 127 people in just three days. A week later, it had killed 500 people. At that time, the common belief was that Cholera was caused by breathing “bad air,” but Dr. John Snow believed otherwise. Dr. Snow, now considered the father of Epidemiology, interviewed affected families in an attempt to find the source of the infection. Then he plotted the deaths on a map which revealed that they were centered around a water pump on Broad Street. With this map, he was able to convince authorities to remove the handle from the pump, which put an end to the outbreak. 

More Read

ABBA: Take a Chance on Me … Choose Performance Management in an Ailing Economy
“Complex systems science is a new field of science studying how parts of a system give rise to its…”
The Big Data Uprising: It’s Not About Big Or Data
The Cloud and Physical Security
Gain a 360-Degree Customer View with Data Analytics

If  data visualization is the key to grown up business intelligence, then location intelligence may be an adolescent path towards adulthood. Location data is inherently visual, and plotting data on a map can provide additional insight that isn’t obvious until you see it.

In 2005, New York news stations covered the “maple syrup events” in New York City, where the pleasant odor of maple syrup appeared in certain areas of the city and then disappeared. Residents called the “311” line, fearing some kind of chemical warfare attack. In 2009, the mystery of the maple syrup events was unsolved, and city officials decided to use the 311 data to solve it. When calls came in to the 311 line, they were plotted on a map and supplemental data was noted such as temperature, humidity, wind direction, and wind speed. Together with the map and the data, officials determined that the odor was coming from a group of industrial plants in New Jersey. It turns out that one of those plants was processing Fenugreek seeds — a substitute flavor for maple syrup.

Visualizing location data is powerful because you can communicate multiple pieces of information simultaneously. With a single colored circle on a map, Oakland Crimespotting is able to communicate three pieces of information: where the crime occurred, what type of crime it was (violent, property, quality of life), and the specific crime that occurred. Just by looking at multiple dots you begin to understand the data even better without any additional information being provided to you. You may see patterns or trends such as certain crimes that seem to happen together or areas of the city with the most violent crime. Hopefully you’ll see something in the data that helps put a stop to some of the crime. It’s the power of location and visualization together.

If your next data set can be linked to a location, why not try to visualize it on a map? You might find that the visualization helps you discover new information that may even help solve your own mystery!

Steve McDonnell
Spotfire Blogging Team

TAGGED:analytics
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive
mobile device farm
How Mobile Device Farms Strengthen Big Data Workflows
Big Data Exclusive
composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Ethereum cryptocurrency
AnalyticsBlockchainExclusivePredictive Analytics

Is Predictive Analytics Setting The Stage For An Ethereum Price Increase?

9 Min Read

Lessons from Social Media Meet-Up, Part I – Measuring is Easy; Evaluation is Hard.

7 Min Read

Enhanced Google Analytics: Firefox Plugin

6 Min Read
real-time location based data for healthcare industry
AnalyticsBig DataExclusiveNewsWorkforce Data

How Real-Time and Location Data Are Revolutionizing the Healthcare Industry

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?