Imagine unlocking a treasure trove of insights from your existing data sets, that makes you look at the physical world differently. That’s what location analytics enables. Any data that has a geographic aspect to it is often called “location data” and is already present in about 80% of enterprise data. It is generated from customer databases, smartphones, Internet of Things (IoT) devices, connected vehicles, GPS units, credit card transactions, and more—this data is everywhere. Location analytics is the science of adding and analyzing layers of location data alongside your existing enterprise data to derive unique insights.
Organizations use location analytics to create many of the experiences you use every day—like when you are booking a hotel in a different country, often hotel prices are automatically available to you in your currency. Behind the scenes, hotel companies are using location services to convert your IP address to your country and to display hotel locations on a map. This helps them to seamlessly provide the relevant information for you, enhancing your online booking experience.
Organizations across industries leveraging Azure Maps APIs
With Microsoft Azure Maps, organizations worldwide are using location data to create similar applications and experiences for mobile and web to gain unique insights, solve critical challenges, and improve their businesses. Azure Maps provides a suite of location services that enable developers and enterprises to build scalable, location-enabled, and map-based experiences.
Services available through Azure Maps APIs unlock a wide variety of use cases across different sectors. Here’s a quick highlight of few of our services and how they are being used:
◉ Data enrichment services enable adding more information to the data that you already have. The Geocoding service is used to convert physical addresses into coordinates, and to convert coordinates into addresses (known as reverse geocoding). Azure Maps Geocoding API enables users to also save the geocoded addresses for as long as they have an active Azure account, so they don’t have to reuse the service each time and incur incremental costs. Once converted, addresses can be visualized on a map using the Get Map Tiles API service for further analysis.
A popular use case for these location services is in the healthcare industry where organizations use the geocoding API to convert patients’ addresses into coordinates, and then use the Map Tiles service to visualize where patients are located on a map to find the nearest health care facilities for patients. Further, certain ambulance operators are leveraging location analytics to pre-emptively place ambulances at predictive ‘hot spot’ locations to reduce emergency response times. Azure Maps is built on Microsoft Azure and is fully compliant with the Health Insurance Portability and Accountability Act (HIPAA) providing healthcare companies with peace of mind when dealing with highly sensitive and confidential patient information.
◉ Routing services are used to calculate the distance or time required to get from one point to another. One of the most prominent use cases for routing is in the logistics industry where organizations use routing APIs to create the most efficient vehicle routes to deliver goods. Optimized routes help businesses in saving time and costs—enabling operational efficiencies. Recently, Azure partnered with Nvidia to use Nvidia cuOpt for multi-itinerary optimization. Often big logistics companies are dealing with hundreds of drivers and dropping locations and need to create a matrix of possible routes to pick the most efficient ones. With Nvidia’s cuOpt, a state-of-the-art, graphics processing unit (GPU) accelerated engine, the time taken to create and analyze the matrix of routes is reduced from multiple minutes to sub seconds.
◉ Weather data services provide daily, historical, normal, and actuals for any latitude and longitude while also providing temperature, air quality, and storm information. The weather service also provides valuable data to inform prediction and modeling based on current and forecasted data enabling development of applications that are weather-informed.
A popular use case is seen in the retail industry where organizations use historical and current weather data to forecast weather conditions. This information helps them make informed sales and operational decisions such as inventory planning and pricing. Retailers also use weather data to create more targeted ads and promotions, improving their overall marketing campaign effectiveness.
Source: microsoft.com
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