HCL Technologies, has announced that research firm Ovum has recognized the company as a market leader in its 2018-2019 “Ovum Decision Matrix: Market Leaders in North American Applications Services.”
Ovum cites several key differentiators illustrated by HCL, including its commitment to client outcomes, its agile approach to application services, and its willingness to innovate with a large variety of output and business value-based models. In the report, HCL receives the highest rating in the strategy execution category.
“Applications services are moving beyond cost and process improvements to become a means for business transformation and enhanced capabilities, allowing businesses to capitalize on digital and other industry developments,” said Ajit Kumar, President – Applications & SI Services Delivery, HCL Technologies. “Being named a leader by Ovum further validates our strategy for application product and services evolution, and our commitment to an agile approach.”
“Service providers are evolving rapidly, with an emphasis on delivering efficiency, flexibility, and growth through application services tuned to specific objectives and priorities. Traditional application development practices are giving way to agile or hybrid methodologies, underpinned by a wide range of tools, automation methods, and accelerators that promise faster time to market and higher-quality output,” said Hansa Iyengar, Senior Analyst, Ovum. “HCL stands out for its strong commitment to client outcomes, which is reflected in its approach in enabling technology disruptions that can significantly optimize business processes.”
Ovum notes the strong reputation of HCL’s consulting organization, resulting from its hands-on approach to application modernization, supported by hybrid delivery options and frameworks, and a desire to move away from a waterfall approach. Also acknowledged, is the strength and diversity of the company’s consulting organization, which includes specialized teams that operate across vertical and horizontal practices, as well as data scientists who work in areas such as algorithm design, data lake design, and machine learning.