Tessella Launches Data Science Partnership for Life Sciences Organizations


    Partnership approach provides top analytics talent on tap

    30th April 2014 - Tessella, an international analytics, software services and consulting company, announced the launch of Tessella Data Science Partnership for Life Sciences organizations.

    Tessella Data Science Partnership provides organizations with specialist analytics consulting via a flexible service model. It is designed to allow us to work closely with organizations that are conducting challenging research projects or need to provide new insight to support a constant stream of key decisions. Each ‘sub-project’ may be relatively short but there are many of them, requiring a wide variety of skills, to address needs that tend to emerge at short notice.

    Alan Bell, Director of Tessella’s Life Sciences, said: “R&D leaders and their teams must focus on the end goal, decision making based on truth-seeking rather than progression-seeking, and return on investment to improve R&D productivity. Advanced analytics is critical to this approach, but delivering advanced analytics often requires a flexible and easily mobilised team of specialist analytics consultants. Tessella Data Science Partnership provides a flexible commercial framework to do this.”

    Nick Clarke, Head of Analytics at Tessella, added: “We understand that when delivering analytics in Life Sciences, you need to provide answers to questions quickly. The Tessella Data Science Partnership is designed to bring together the right people with the right skills to deliver quick solutions and keep your research momentum going. The right mix usually involves both Tessella and client expertise, but changes in nature for each quick win. When we talk of partnership, we mean Tessella and the client planning together to build the teams to meet the next challenges on the horizon.”

    Nick continues: “Our partnership model combines the traditional outsourcing benefits of access to a specialised skill base and agility in responding to variable demand with the additional benefits of keeping knowledge within the organization and removing project start up overheads.”

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