QUAD - OUR DELIVERY FRAMEWORK

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Question

  • Quadratyx assists you to question the status quo – how can data help reimagine the future of your business? We then help you determine the exact questions you need answered using data. This is the most important phase of your data science journey.
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Understand

  • Quadratyx helps you understand the capabilities and limitations of your IT infrastructure, your current and future data needs, your team’s data savviness and training needs; as well as the existing tools and technologies in Big Data, AI, ML and Advanced Analytics.
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Act

  • Quadratyx’ extensive IP in data science helps you plan and deploy data-centric decision making solutions rapidly, throughout the organization. Our experienced engineers, data scientists and project managers can take end-to-end responsibility for your enterprise’s transition to a data-driven future.
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Discern

  • Quadratyx services and solutions help you discern hard-to-find patterns and insights hidden in your structured, semi-structured and unstructured data. Our proprietary processes, metrics, and tools can help you systematize this capability, to become a truly data-driven organization.

DELIVERING ENGINEERING EXCELLENCE

Delivering_Engineering_Excellence

Delivering working software that meets quality benchmarks with respect to customer requirements, design, architecture, coding, testing, release engineering, environment and usability ensures software engineering excellence.

Following are the quality standards we adhere to:

Design
  1. Early detection of flawed design pattern implementation
  2. Optimization of design for right data structure presentation and their performance (like list, set, map, tree)
  3. Concurrency assessment with immutable objects and thread safety
Coding
  1. Compliance of code with respect to defined language specific guidelines
  2. Discovery of redundant, un-optimized code in the implementation
  3. Assessment of character encoding, memory allocation, usage of namespace so that runtime classes generated are unique
Compliance
  1. Standards compliance for code with respect to W3C
  2. Product specific coding standards compliance
Testing
  1. Code coverage for the implemented classes or methods
  2. Usage of mock references for the third party and non-available implementations

Usability
  1. Simplified information architecture flow with faster access to information
  2. Layout and positioning of widgets and support accessibility for all
  3. Browser compatibility, responsive web design
Security
  1. Identification of potential security threats like SQL injections attacks
  2. Identification of cross site scripting possibilities to avoid phishing
  3. Identification of Buffer overflows in the code to eliminate exploitations by hackers.