How Data-Driven John Deere Wins the Market
Agriculture equipment trailblazer John Deere has turned the art of market development into a science with artificial intelligence (AI)-based analysis of location data.
Location intelligence (LI) is achieved via visualization and analysis of geospatial data. Geospatial data analysis enhances understanding, insight, decision-making, and prediction. By adding layers of geographic data—such as demographics, traffic, and weather—to a smart map or dashboard, organizations can use intelligence tools to identify where an event has taken place, understand why it is happening, and gain insight into what caused it. As part of a digital transformation, many organizations are relying on geographic information system (GIS) technology to create location intelligence.
More than 90 percent of leaders believe that location intelligence is crucial to business and community success. Executives, managers, and operators apply this type of intelligence to meet a wide range of needs. Examples of its use include finding optimal locations in retail site selection, managing assets in real time, and maintaining or repairing vital infrastructure. Discover why more than two-thirds of business executives are already using location intelligence to gain a competitive edge.
With billions of devices connected to the Internet of Things (IoT), executives and decision-makers have access to unprecedented amounts of business data, including a variety of geospatial data. Location intelligence comes from visualizing and analyzing volumes of location technology and is used to empower holistic planning, prediction and problem solving. Seeing all relevant information in the context of location—on a smart map, app, or dashboard—provides unique insights. In this way, insights gained from location technology can reveal hidden relationships, patterns, and trends, delivering a competitive advantage.
Most data points are linked to physical locations and times. But location isn't just the common thread connecting disparate data sources and breaking down silos—it can often provide the most transformative insights. Leading organizations use location data analytics to solve business problems and uncover new opportunities. Location intelligence solutions are a crucial addition to business intelligence (BI) tools.
GIS technology provides a software framework to manage, visualize, analyze, and ultimately understand the significance of location information. Rooted in science, GIS helps businesses gain actionable insight by integrating all types of data. Location intelligence, powered by GIS, transforms businesses and organizations across a wide range of industries.
Location intelligence examples
Walgreens uses location intelligence to plan store locations, understand customers' shopping needs, identify sales trends, and even track the flu.
Learn how businesses across different industries can use GIS-powered location technology to understand the full potential of data and drive growth.
Learn how organizations can use real-time location technology to collect, process, and analyze vast amounts of IoT data and harness the data's full potential.
Discover how businesses are using the predictive power of AI and location analytics to uncover business insights and realize digital transformation in a rapidly evolving world.