{"id":27197,"date":"2020-09-17T20:24:47","date_gmt":"2020-09-17T18:24:47","guid":{"rendered":"https:\/\/www.intellias.com\/?p=27197"},"modified":"2024-07-23T12:58:46","modified_gmt":"2024-07-23T10:58:46","slug":"location-big-data-analytics-for-enhancing-business-intelligence","status":"publish","type":"post","link":"https:\/\/intellias.com\/location-big-data-analytics-for-enhancing-business-intelligence\/","title":{"rendered":"Location Big Data Analytics for Enhancing Business Intelligence"},"content":{"rendered":"
Through years of providing big data and location services<\/a> to the world\u2019s automotive leaders, Intellias has gained first-hand insights into the dynamic challenges these companies face when trying to benefit from location intelligence.<\/p>\n Location data providers offer access to geodata at a scale that may appear intimidating, yet the possibilities it opens can no longer be ignored. Companies realize the ability to harness location big data fuels smart decision-making. Aiming to drive greater profitability and increase market share, companies look for customized and progressive approaches to automate spatial data processing<\/a> in order to improve planning of routing, resources, and fleet planning.<\/p>\n With prolific experience in location intelligence analytics and advanced big data tools, Intellias can address the challenge of deriving practical insights from diverse data sets. That\u2019s why we completed an R&D project for a location data analytics platform. To this end, we mobilized engineering professionals, who excel at data processing, storage, geospatial big data analytics<\/a>, and visualization.<\/p>\n <\/p>\n The main idea of our R&D project was to leverage data from various sources as well as artificial intelligence (AI) and machine learning (ML) algorithms to build an end-to-end location analytics solution. The platform we built comprises multiple components for fetching, storing, indexing, visualizing, and modeling data. It allows data analysts and business decision-makers to collect and operationalize valuable insights that help remove constraints on growth and enforce business transformation.<\/p>\n The solution streamlines data analysts\u2019 work with both raw and geo-indexed data obtained from location data providers and operational business resources. It allows for accessing and processing data relative to fleet events (parking, charging, trajectories) for a specific vehicle, time interval, and geofenced area in the graphical user interface (GUI). With libraries for graphical elements, the GUI framework enables analysts to visualize events as heat, cluster, or choropleth maps so analysts are in the best position to perceive location intelligence analytics data.<\/p>\nSolution delivered<\/h2>\n