Case Studies

Advowire

  • Client : HireInfluence Inc.
  • Domain : Influencer Marketing
  • Technology Stack : Ruby on Rails, PostgreSQL, MongoDB, Redis, jQuery, AWS
  • Business Solution :
    1. We approached the solution using BoTree's Canvas to Cloud Methodology. The application was built in Ruby on Rails.
    2. After having understood the primary requirements, we started working on the detailed application specification in the "Productize" phase of the methodology.
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BLISS

  • Client : Breitenbush Hot Springs
  • Domain : Hotel Reservation Management
  • Technology Stack : Ruby on Rails, Javascript, jQuery
  • Business Solution :
    1. Comprehensive automated tests were added to make 100% testing coverage before migration.
    2. Migrate from Ruby 1.8.7 to 1.9.3 and Rails 2.3.18 to Rails 3.2.x using "Complex Problem Solving" methodology.
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ImpactHealth

  • Client : ImpactHealth Inc.
  • Domain : Insurance
  • Technology Stack : Ruby on Rails, jQuery, Algolia Search, PDF parsing
  • Business Solution :
    1. The UX was improved and it was made more intuitive.
    2. Parts of the application were re-architected to improve performance and enable reuse.
    3. Database was restructured to improve search performance.
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MAGnificent

  • Client : MAGnificent Marketing LLC.
  • Domain : Print Media
  • Technology Stack : Ruby on Rails, jQuery, MySQL, AWS
  • Business Solution :
    1. We approached the solution using BoTree's Canvas to Cloud Methodology. The application is built in Ruby on Rails.
    2. After having understood the primary requirements, we started working on the detailed application specification in the "Productize" phase of the methodology.
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Velocity

  • Client : Mobiquity Inc.
  • Domain : Online Training
  • Technology Stack : Ruby on Rails, Backbone JS, Phantom JS, MySQL
  • Business Solution :
    1. BoTree aligned a team of expert software engineers skilled in Ruby on Rails to analyze and document the application.
    2. The team not only wrote the missing RSpec for the application but also refactored the existing application code to improve quality and performance.
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