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Mastek acquires Kognitio data migration offering

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CIOL Bureau
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MUMBAI, INDIA: Mastek, an IT solutions player providing new technology and intellectual property (IP)-led enterprise solutions, announced on Wednesday the acquisition of Kognitio's data migration offering comprising its Data Factory Tool Kit (DFTK) and data migration methodology.

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With over forty man years of development invested in its software, the DFTK solution provides the technology to support the end-to-end data management environment covering all aspects of data processing in a data migration project, it said in a press release.

In addition, Philip Magnall, formerly the vice president - Platform Rationalization at Kognitio, has joined Mastek and will take on the role of data migration manager, responsible for Mastek's migration projects and consultancy offerings, it added.

Mastek said this transaction is the latest in its move towards strengthening its position as an IP-led enterprise solutions provider, with Kognitio’s data migration tools and processes embedded at the heart of Mastek’s Migration Centre of Excellence.

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Commenting on this initiative, Mike Brinsford, global head of insurance, Mastek said: “For many years Kognitio has been the standard-bearer for excellence in this field and we’re looking forward to combining their technology and methodology into our propositions. We have already completed the process of embedding the systems and carrying out all necessary knowledge transfer, and the DFTK solution is back in the market with a new home.”

He said Mastek would continue to explore and leverage opportunities to add excellence to its offerings in order to maintain our position at the top of the software solutions field.

Said Roger Llewellyn, CEO, Kognitio, “Mastek has an unrivalled reputation in the insurance software market and by transferring Kognitio’s data migration offering to such a well-capitalized company as Mastek we are ensuring its long-term future. We are looking forward to focusing on the next stage of Kognitio’s development which lies in the enhancement of our data warehousing proposition

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