We live in a world where, whether you realized it or not, location influences business decisions every day. From risk management within Insurance or coverage mapping within Telco, to site selection in Retail, and city planning within Public Sector, each of us is impacted by business decisions that are influenced by location information.
Today, demand for GIS and location insights is ubiquitous – everyone wants in. Not only that, they want more geodata faster, plus the ability to query, view and analyze that data in more ways.
Today, GIS is not just software. It’s data. It’s people. It’s getting to the answer. Quicker. Data is expanding. More users demand access to information but don’t consume the information in the same way as a GIS professional would.
Today, the very concept of what a store is - and what it will become is being challenged. Those who heed the signs will be the only ones who will survive and win.
Quick Service Restaurants (QSRs). We’ve all eaten at them. They’re fast, convenient, cheap and many times are a “stop-on-the-way-because-I’m-starving-and-need-something-now” dining option.
When it comes to driving in-store sales in a cost-effectively, mobile advertisement has bubbled to the surface in a dramatic manner. The caveat, however is that it must be deployed in a data-driven, location-context-aware way in order to deliver maximum value.
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.
The tasks that GIS Analysts perform range from complex dives into messy data to repetitive production of maps with little variation. Both ends of the spectrum require the ability to find tools quickly, make changes with as few keystrokes as possible and produce high-quality output under the pressure of deadlines.
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.
