Geospatial Information System & Amazon’s Platform

Amazon is a great example of successful and efficient implication of Geospatial Information System in achieving business intelligence (BI). Amazon Web Services (AWS) utilize the ArcGIS (discussed in earlier post) system for geographical applications like order tracking, location analytics, computation and storage purposes.

Vector and Raster data is published and analyzed through ArcGIS, which designs and manages the solutions for every case through the collected geographic knowledge. ArcGIS allows performing in-depth analysis on the data, resulting in the better understanding, precise & informed decisions.



Amazon and ArcGIS

AWS, an Amazon-owned service, and ArcGIS are collaboratively working to deploy the better Enterprise GIS which is fully-featured and able to handle the on-demand elastic infrastructure.

The CMS (Content Management System) of ArcGIS is cloud-based and is being used for the management of the geospatial data like maps, etc.

What a user can do?

There are several online tasks which can be performed –

  1. It allows accessing, creating and sharing of maps through any of the browser, device or operation system. There are specific applications like ArcGIS for Desktop which can be installed, customized and used for business purposes.
  2. Datasets, multiple services, maps, numerous tools and many other forms of geospatial content can be controlled, accesses and filtered through them.
  3. Easy to use Interface and a well-structured catalog is provided to the enterprises so that they can make efficient use of these services without facing any issue.
  4. The geospatial content can be shared privately, publicly or with a custom group of users.

Amazon and ArcLogistics

For optimizing the product delivery routes for the delivery vehicles, this cloud-based application makes use of the real-time geospatial data. The shared data can be accessed by all the authorized users like vendors, etc.

The three main tasks of the application are –

  1. Routing – creating optimal routes
  2. Scheduling – Making schedules according to the business operations
  3. Navigation – Tracking and instructing the drivers in real time.

The special business operations include the following data while scheduling the deliveries –

  • Vehicle Count and Capacities
  • Driver Specialties and their availability
  • Source to Destination Paths
  • Street Network Restrictions
  • The Time Windows e.g. by what time should the customer get the product, time of ordering, etc.

By analyzing these datasets, the routes and schedules are prepared and the following are the targets for the application –

  • Deciding the optical path
  • Least fuel Consumption
  • Reduced Vehicle use
  • Less Working hours for the employees
  • Timely Delivery
  • Proper Tracking of every step

Isn’t it an amazing deployment of technology by Amazon? Do you think Business Intelligence is properly achieved? Comment below to let us know your view.

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