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The Sunday Times names Tessella in 100 Best Small Companies to Work For 2017

Tessella, Altran’s World Class Center for Analytics, has been ranked 76th in The Sunday Times 100 Best Small Companies to Work For 2017, highlighting the organisation’s credentials as a supportive and enjoyable place to work. The Sunday Times lists are published annually in conjunction with Best Companies Ltd. They highlight the best British employers based […]

New whitepaper details five steps to delivering business value from data analytics

Data science consultancy Tessella launches business-focused guide based on some of the world’s most successful data analytics projects 2nd March 2016 | A new whitepaper, developed by data scientists at Tessella, Altran’s World Class Center for Analytics, is calling time on costly failures of data projects by bringing together industry best practice for planning data […]

The University of Liverpool’s Materials Innovation Factory chooses Tessella

Materials Innovation Factory’s critical scientific systems in safe hands 23rd February, 2017 – Data science consultancy Tessella today announced that it had been selected by the University of Liverpool’s Materials Innovation Factory (MIF) to support critical scientific data systems. The £68million Materials Innovation Factory (MIF) – which will host the largest concentration of lab robotics […]

Tessella awarded with highest accreditation level in Best Companies to Work For

Analytics specialist receives recognition for the sixth year running, defying industry trends Tuesday 14th February, 2017 – Tessella, Altran’s World Class Centre for Analytics, has been awarded 3 Star accreditation score by the Best Companies to Work For 2017, the highest level achievable by an organisation. The annual programme highlights the best British employers based […]

Prestigious journal praises open-source data and analytics toolkit for climate scientists

Tessella part of project recognised by the European Geophysics Union (EGU) journal 29th November, 2016 – EGU journal, Geoscientific Model Development has recognised a toolkit which enables the climate science community to reliably and consistently make comparisons between data from a range of sources and a variety of formats. Developed over three years, the open-source […]

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