Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK

Doing data science to support strategic business decisions

Thomas French (Sandtable), Nigel Shardlow (Sandtable Ltd)
9:30–10:00 Wednesday, 1/06/2016
Data 101
Location: Capital Suite 15 Level: Non-technical
Average rating: ***..
(3.25, 4 ratings)

Much of the business narrative around data science draws attention to the importance of prediction and predictive models. But in many business contexts, prediction alone is not enough. Thomas French and Nigel Shardlow explain that to support strategic decision making, data scientists must build models that can explain events in a meaningful way. Drawing on case studies and examples, Thomas and Nigel cover predictive and explanatory modeling, models as decision-support tools, and doing data science to support strategic decisions and relate challenges and lessons learned along the way.

Photo of Thomas French

Thomas French


Thomas French is the CTO of Sandtable, a data science company based in London. Before joining Sandtable, Thomas completed a doctorate in informatics at the University of Edinburgh.

Photo of Nigel Shardlow

Nigel Shardlow

Sandtable Ltd

Nigel Shardlow’s career has spanned psychology, artificial intelligence, academic philosophy, web design, product development, entrepreneurship, and consultancy. After leaving academia, Nigel spent the early part of his career in telecoms, leading product development teams at Orange (now EE) and BT. More recently, he worked as a behavior change consultant to organizations in the public and private sector, using hard evidence and science to measurably improve outcomes. Nigel brings insights from behavioral science, marketing science, and psychology into the model development process. His recent research interests include the meaning of loyalty, the nature of explanation, embedded cognition, and the relationship between brain science and ethnography.