{"id":662,"date":"2017-04-17T06:41:53","date_gmt":"2017-04-17T06:41:53","guid":{"rendered":"https:\/\/loginextsolutions.com\/blog\/?p=662"},"modified":"2026-02-02T13:47:20","modified_gmt":"2026-02-02T13:47:20","slug":"predictive-perceptive-analytics-transformed-location-intelligence","status":"publish","type":"post","link":"https:\/\/www.loginextsolutions.com\/blog\/predictive-perceptive-analytics-transformed-location-intelligence\/","title":{"rendered":"How has Predictive & Perceptive Analytics Transformed Location Intelligence?"},"content":{"rendered":"

How has Predictive & Perceptive Analytics Transformed Location Intelligence?<\/h1>\n

 <\/p>\n

– Bishwajeet Kumar<\/a>, Tanaya Jawale<\/a>, and Vishwanath Rajput<\/a><\/p>\n

 <\/p>\n

In Christopher Nolan\u2019s blockbuster thriller \u201cThe Dark Knight<\/em>\u201d, there\u2019s a scene where the Joker plays various sadistic games with the citizens of Gotham. Batman and his colleagues track him by using an unexplained technology to convert cell phones into a city-wide tracking surveillance system which took advantage of the phone’s GPS locators. Each movement could be tracked and was acted upon.<\/p>\n

 <\/p>\n

Today, that vision of the future is coming closer to reality. Businesses are capturing vast quantities of data with the end goal of giving you more of what you want, when and where you need it (Of course not by Batman himself). It\u2019s the ultimate consumer experience. The simplicity and ease of use GPS-enabled cell phones and mobile devices help you find the closest place of interest. Maps let you visualize where you\u2019re going and where you want to be. All those cool gadgets are no longer exclusive to Star Wars.<\/p>\n

 <\/p>\n

Location Intelligence & Analytics<\/a> has now become a core data source that helps in contextualizing of location-centric data, so that meaningful insights could be derived from the same and strategic business decisions could be made. It has emerged as one of the major segment in the field of market research.<\/p>\n

 <\/p>\n

Having stated the obvious necessities for tracking location, lets\u2019 focus on how it is being currently done and “Are we doing it efficiently?”<\/p><\/blockquote>\n

 <\/p>\n

As of now, GPS-enabled cell-phones and mobile devices form the major source of raw location data. Given these individual real-time sources, and possibly additional information available at a location via static sensors, it is possible to monitor and track what is happening, what has happened and possibly predict what may happen at every location. There are predictive algorithms which can even track the leaning angle of an object (required for marine buoys), altitude, etc. Google\u2019s Places and Locations API can provide Location Category, Price-Level Category, Geo-fences, etc. Using these predictive & perceptive algorithms the category and amount of information that could be retrieve is tremendous and can provide critical insights for any business model.<\/p>\n

 <\/p>\n

Download: Whitepaper on Industry Trends in Field Service Optimization<\/a><\/em><\/p>\n

 <\/p>\n

The major challenges faced while implementing efficient location tracking ranges from battery drain to network signal reception to optimizing time and distance based location updates. One must dig-deeper and optimize their location tracking implementation depending upon their model and use-case. Models involving near real-time location updates, like Uber<\/em>, would have to maintain a balance between battery drain and location update calls. One major drawback with location based apps is that even the location services are optimized, the product model requires that data to be processed and meaningful information be extracted for them to function. Geocoding and Reverse-Geocoding libraries are yet to be perfected. Open-Source community has come up with various alternatives for Google\u2019s Geo-Coding Library but much work is still to be done.<\/p>\n

 <\/p>\n

There are various questions a brand or business entity needs to ask their tech partners regarding their location intelligence & analytics<\/a> before acting upon it:<\/p>\n

 <\/p>\n