Modern-day applications within enterprises are a mix of applications that have been developed in traditional modes and are part of monolithic architectures as well as those that serve the digital requirements of customers. The application development approach of service providers begins with an assessment of the enterprise application landscape, and a typical ADM engagement involves optimization of applications at the core, management/ modernization of legacy applications, and creation/designing of digital applications. As a part of the core optimization phase, providers shortlist applications that should be retained and retired based on their value for the overall enterprise. In the legacy modernization phase, providers manage applications carrying a legacy footprint and technical debt by re-writing and re-wrapping them with a modern code to streamline them with applications serving the digital requirements. In the digital design phase, providers create dynamic, nimble, responsive and adaptive applications. Assisting providers in this ADM journey are proprietary frameworks, automation and artificial intelligence (AI) that has gained prominence in the last couple of years across the application development lifecycle. Most of the service providers have adopted AI and machine learning (ML) capabilities for their predictive as and cognitive insights that help in reducing defects, offer dynamic resource management and enhance their state of preparedness. Automation is gaining traction in the areas of operations and service management where repetitive functions such as monitoring, patching and ticket management are being streamlined through its use.
Like traditional application services, next-generation ADM services cover consulting, design, customized development, packaged software integration, DevOps, agile, operations, security (including application security, governance and other related areas) and testing. However, the scope, delivery mechanism and outcome for such contracts pivot around a value-based approach, where the focus is on achieving enterprise agility and solving business problems. This quadrant assesses vendors based on their capability to augment traditional ADM services with emerging technologies/methodologies like agile development, DevOps, automation, data analytics and artificial intelligence (AI) and digital and modernization techniques to deliver application lifecycle projects. It also assesses the provider’s capabilities in incorporating new approaches to deliberately focus on business results during the development and delivery of applications.
HCL is one of the leading providers of ADM services in the U.S. The company is fueling its ADM services growth story through its “Mode 1-2-3” strategy. Its next-generation ADM services cover all areas such as application lifecycle development consulting, design, custom development, packaged software integration, DevOps, agile, operations, security (application security, governance and other related areas), and testing. As per the report, HCL’s broad range of ADM services, network of delivery centers, delivery frameworks, usage of tools in the application lifecycle management and acquisitions make the company a compelling choice for next-generation ADM.
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