SOUTHBOROUGH, Mass., – (March 08, 2018)–Virtusa Corporation (NASDAQ GS: VRTU), a global business consulting and IT outsourcing company that accelerates business outcomes for its clients,has been included in Gartner’sMarket Guide for Data Science and Machine Learning Service Providers. The report, published on October 31, 2017, states: “Data and analytics leaders looking for support for their data science and machine learning projects should use this research to identify and engage with candidate service providers to fill the analytics deficit and augment their existing data scientists with specific skills.”
According to Gartner, “the growing demand for DS&ML as a competitive differentiator is forcing organizations to acquire an even wider portfolio of skilled resources – from statisticians and data scientists, to chief analytics officers. However, there is a shortage of data science skills in the market, making it difficult to source the right skills.”
“We feel that we are one of the most visible DS&ML service partners worldwide and are proud to be recognized in Gartner’s Market Guide,” said Kumar Ramamurthy, senior vice president and global head, Data & Analytics, Virtusa. “As service providers work to develop repeatable and robust service assets to help clients fast track their analytics initiatives, Virtusa is leveraging its AI labs supporting a number of leading AI platforms to build industry specific point solutions and minimum viable products rapidly.”
Through its Data & Analytics practice, Virtusa provides services and solutions across the entire data spectrum – transforming raw data into actionable insights. Virtusa’s Big Data Competency Center offers consulting services for roadmap development, tool evaluations, solution architecture and design and end-to-end implementation services using big data ecosystems such as Hadoop, NO SQL and graph databases. The company’s centers of excellence utilize business intelligence (BI) and artificial intelligence (AI) to offer comprehensive services that span from traditional BI to more complex and advanced analytical solutions, including social analytics, web data analytics, predictive analytics and model implementation.
Combining traditional analytics, big data and AI, Virtusa has delivered several solutions, including a predictive text mining solution to enhance field engineer productivity and resolve network failures for telecommunications firms; a customer value management solution for a leading global bank identifying potential cross sell and upsell opportunities; and location-based analytics to help a financial services company better monetize existing data.
To learn more about Virtusa’s Data & Analytics technology offerings, please visit: https://www.virtusa.com/services/enterprise-information-management/technology-offerings/big-data-and-advanced-analytics/
For more information and to access the report (subscription required), please visit: https://www.gartner.com/doc/3822963/market-guide-data-science-machine
Source: Gartner, “Market Guide for Data Science and Machine Learning Service Providers,” Jorgen Heizenberg et al, 31 October 2017.
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