"Management Consultancy in Big Data". Our Data Science experts then work with your team to create an implementable plan; we then improve the make vs buy tradeoffs using proven off the shelf products from our Technology Partners (and a new one of our own, to be launched early 2018). Their vision is to be a thought leader and specialist trusted advisor - helping enterprises derive competitive advantage by exploiting data as a corporate asset.

We completed in 2017 client projects with Grant Thornton UK (2 year project), Zurich Insurance (#5 worldwide), Indra (€2.7bn global systems integrator), and a UK online media company, as well as completing our third year as sole provider of Big Data executive education TechUK, the UK technology trade body. You may have seen some of our thought leadership articles: “Use Data to produce more actions and less insights” and: “What exactly is Big Data - if it is neither about big, nor about data?”

Our current pipeline includes the government of a European country (identifying possible foreign social media interference in the upcoming parliamentary election), the New York Mass Transit Authority (analytics to optimise MRO operations), an AI-enabled e-learning product from the US, and a large transport administration in the UK (repeat project via partner, Indra). We are also in procurement for an inventory optimization project for a top 10 UK retailer, as well as in three different advanced discussions with two of the leading global consumer goods companies.

We will also be launching our the first product of our own during early 2018 – a SaaS offering that enables business users to explore, blend and analyse the otherwise hard to navigate government Open Data.

See video: http://www.bigdata4analytics.com/animation.html?utm_source=personal&utm_medium=email&utm_campaign=Anmsg See articles: http://www.information-age.com/use-data-produce-actions-less-insights-123465761/ and http://www.bigdata4analytics.com/uploads/2/1/9/2/21928796/what_is_big_data_-_neither_about_big_nor_about_data_-_by_mike_fish.pdf