Kavi Global Achieves Microsoft Gold Partner Status in Data Analytics

“We are very proud of this accomplishment,” said Vijitha Kaduwela, CEO of Kavi Global. “Being a Microsoft Gold partner better positions us to serve our clients as they migrate and modernize their data analytics platforms on Azure. I would like to thank our clients for their trust in our team.”

Kavi Global joined the elite tier of Microsoft partners by being awarded the Microsoft Gold competency status in Data Analytics. Gold competencies are the highest level of partner certification given by Microsoft, demonstrating a company’s best-in-class expertise in various areas of business and technology. This recognition further solidifies Kavi’s position as an industry leader in data analytics and makes it a target for those looking for Microsoft-certified solutions.

“We are very proud of this accomplishment,” said Vijitha Kaduwela, CEO of Kavi Global. “Being a Microsoft Gold partner better positions us to serve our clients as they migrate and modernize their data analytics platforms on Azure. I would like to thank our clients for their trust in our team.”

Kavi Global has a dedicated Azure Cloud Analytics team consisting of highly skilled, certified and experienced architects and developers. Analytics on the cloud is a cornerstone of the firm’s growth strategy that enables it to co-create value with clients by accelerating and scaling digital capabilities cost effectively. Kavi is eager to continue advancing its work with clients in this area now that it has attained gold competency as a Microsoft-certified solution provider.

About Kavi Global

Kavi Global accelerates digital transformation and creates business value for clients with its comprehensive array of data and analytics solutions, software and services. The firm has a diverse set of clients across healthcare, pharmaceutical, commercial, industrial, manufacturing, financial services, retail, and transportation verticals. Kavi Global has been recognized by Gartner in their Market Guides for Data and Analytics and Machine Learning for 3 years running.

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