Imagine you’re in outer space looking down. Below you are great expanses of green and blue, representing the land and sea. Zoom in and you begin so see the detail in the topography—mountains, rivers, plains.
Virtually all decisions made in the insurance industry are made around foresight. This entails far more than just educated guesswork, as market leaders have to leverage a wealth of information and account for numerous variables when crafting predictive analytics around policies, claims and risk.
Location is everything for chain retailers. In addition to selling a quality product, the success of a chain hinges on a smart expansion strategy that utilizes a wealth of location and business data to determine market viability.
The Internet of Things (IoT) is already a familiar concept for many consumers. Common devices now regularly collect and share data with each other in an effort to improve user experience for everything from wearable tech to household appliances.
While not wholly unpredictable, catastrophes more often than not catch us off guard, which makes preparing for reparations an exceedingly difficult task.
If you are old enough to remember when geography was taught in elementary school you undoubtedly recall the memorization of capitals, countries and cultures. To the curious-minded, geography uncovered the world, and maps displayed proximity relationships, offering a perspective not revealed by merely reading the textbook.
Analyzing location information could play a huge role in improving processes and expediting decisions for businesses that are already collecting industry-specific business intelligence (BI).
The manufacturing and industrial internet of things are driving results, embedding location intelligence to accurately pinpoint information and spur action.
Companies that have used geographic information systems (GIS) to derive location intelligence have found value in understanding location-based patterns.
