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
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Location Data + Business Intelligence = 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 > Inside Companies > Location Data + Business Intelligence = Location Intelligence
Inside Companies

Location Data + Business Intelligence = Location Intelligence

Brett Stupakevich
Brett Stupakevich
4 Min Read
SHARE

buk yellow photo (business intelligence)

buk yellow photo (business intelligence)

During the third week of November, the U.S. celebrates National Geography Awareness Week, an annual celebration to promote geographic literacy — something that should be high on the list for anyone involved with business intelligence today. 

More Read

Image
Robot HR: How HR is Contributing to Unemployment
Is An Artificial Intelligence Bubble Threatening Software Development?
More Proof that “Data Geek” Jobs are Hotter than Hot
5 Questions To Ask Before Embedding Business Intelligence Into Software
Capacity for change

Geographic data has not been commonly used by businesses in data analytics until very recently. In the past, only large government agencies could afford the expensive and complex databases and tools needed to use this highly specialized information. Google and Microsoft changed that by popularizing geographic data with consumers, and it became economically feasible for businesses to use the data with a Web 2.0 services model. (1)

It’s not surprising that we would want to combine geographic and location data with traditional business data used in business intelligence, something referred to today as Location Intelligence. Your customers, your employees, your inventory, your vendors and suppliers, your facilities, and other assets all have a location component. In fact, IDC is said to have estimated that 80% of current business data used in business intelligence has a location component. Location Intelligence can provide new insight into data beyond current business intelligence analytics and can help organizations even further improve business decision making and streamline business processes.

Because Location Intelligence is such a new area, we’re only beginning to understand the potential applications and benefits of combining location and business data together. We will undoubtedly see new and highly creative uses of Location Intelligence over the next few years. For now, here are a few examples of how Location Intelligence is being used today in a a variety of different industries.

  • In Retail, location services such as Foursquare provide the location information that a customer is at or near a retailer’s store. Combining this with customer data such as preferences and purchase history allows retailers to make timely and relevant offers to consumers that result in additional sales. Decisions about which offers to make might even be based on additional data such as the current weather forecast!
  • Location is extremely important in the insurance industry, where customers and natural disasters are both tied to a location. When a natural disaster occurs, insurance companies have the capability to instantly understand their claims exposure by visually plotting their customer data and the affected area on a map. This also allows them to more accurately estimate the number of resources they will need to service claims in an affected area.
  • Many organizations are beginning to track inventory using RFID tags. The American Red Cross is experimenting with a program that records the location and type of blood in a centralized database. At any given time, the Red Cross would be able to understand the quantity and location of the entire blood supply in order to plan for and react to emergencies.
  • Although Location Intelligence has been used in transportation for quite some time, today it is making new business models possible, such as Zipcar in the U.S. and UK, and a new ride-sharing pilot program introduced by Daimler in Germany called car2gether.
  • Site selection, the decision about where to locate a new store or facility, is probably the most common application of Location Intelligence today. When location data is combined with available real estate, demographic data, data on current customers, and information on the most likely prospective customers, the resulting Location Intelligence can help identify a site location with maximum revenue potential.

Steve McDonnell
Spotfire Blogging Team

Image Credit:  mywonderfulworld.org

(1) Mohr, et. al., Marketing of High-Technology Products and Innovations, p. 496-497

TAGGED:data analytics
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
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

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

preventing investing mistakes
Analytics

Data Analytics Is Critical For Preventing Investing Mistakes

6 Min Read
energy data analytics
AnalyticsBig DataExclusivePredictive Analytics

IBM Emphasizes The Benefits Of Data Analytics For Renewable Energy

7 Min Read
analytics revolution with NBA data
AnalyticsExclusive

How The NBA Data And Analytics Revolution Has Changed The Game

8 Min Read
data analytics with digital asset management
Analytics

How Can Marketing Teams Leverage Data Analytics for Digital Asset Management

8 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?