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GLOBAL TELECOM GIANT REDUCES TEST AND RELEASE COST FROM 60 TO 20 PERCENT

CLIENT

 

The client owns and operates networks in 21 countries and has partner networks in over 40 additional countries. It is one of the top-three, global companies in mobile telecommunications with more than 450 million subscribers. Such a largescale of operations meant that the client faced issues with operational efficiency and customer satisfaction.

BUSINESS CHALLENGE

 

The client needed to improve customer satisfaction and reduce test and release cost. To accomplish this, it required effective application development and maintenance, seamless integration of a wide array of technologies including Java and HP application lifecycle management (ALM), and new-age Agile process to enable the customer to exercise more control over systems

 

SOLUTION

 

To overcome these challenges, we began by establishing an Agile process, which ensured that the customer would always be in control of the system and its components. We then accelerated the software development lifecycle for the online shopping portal, which increased efficiency, realigned costs, and sped up the time to market. It finally enabled the client to abandon a traditional waterfall process in favor of a more efficient agile process rollout and:

• Established agile process

• Accelerated software development lifecycle

BENEFITS

Our innovative solutions allowed our client to experience the following benefits:

• Increased first-time registrations from 24 to 66 (out of 100 users)

• Enhanced customer satisfaction by implementing more than 12 successful releases as compared to three

• Improved efficiency by using the same features for testing or cost cycle reduction for new feature development

• Reduced test and release cost from 60 to 20 percent

• Introduced test-driven development (TDD) to enable automation of unit testing

• Deployed coding standards scripts in development environment. These scripts will alert the coding standard deviation dynamically when code is developed

• Minimized total elapsed time for a new feature from 24 to 11 weeks through scrum-based, distributed delivery framework