Schedule: Business & Industry sessions

Location: King's Suite Level: Non-technical
Tom Hebbert (Tesco)
Average rating: ****.
(4.67, 9 ratings)
Tesco is best known for using data in customer segmentation with Clubcard. But it's also important in optimising a supply chain which moves 32,000,000 cases of food each week. Tom will talk about real-life applications of data science – from managing the impact of weather on sales to optimising truck loads. And share experiences about translating data science into real business change. Read more.
Location: King's Suite Level: Non-technical
Sébastien Lefebvre (Mesagraph), Guy Hugot-Derville (Mesagraph)
Average rating: ***..
(3.50, 4 ratings)
In the TV industry, audience is king. Until now, viewers were hidden behind their TV set. Today, Twitter is rapidly changing the game. People share their emotions publicly, in real-time. Capturing these conversations allows advertisers, marketers and TV Channels to discover their audience at a granular level never seen before. Read more.
Location: King's Suite
Simon Wardley (Leading Edge Forum)
Average rating: *****
(5.00, 1 rating)
This session explores these concepts by first laying out the fundamentals of change and how all industry evolves through a commonly re-occuring pattern. Using this we will examine why one size never fits all in management, the explosion of change from big data and cloud computing to why new forms of organisation are emerging that differ from traditional companies. Read more.
Location: Buckingham Room Level: Intermediate
William Spooner (Eagle Genomics)
Average rating: *....
(1.00, 1 rating)
Does pre-competetive collaboration ease the pain of adopting disruptive big-data technologies? This question is tacked using the example of management/analysis of large genomic sequence data sets, and their role in the development of personalised medicine. Read more.
Location: Bleinheim Room (Sponsored) Level: Intermediate
Andy Cotgreave (Tableau)
This session will focus on going from a good visualization to a great visualization by focusing on organization, user interface, and formatting. Read more.
Location: Buckingham Room Level: Non-technical
Helen Child (Helen Child Consulting)
Average rating: ****.
(4.00, 1 rating)
The furore over phone hacking has again led to demands for a privacy law, whilst media scorn at super-injunctions protecting celebrities from sex scandals pulls the debate in the other direction. But the average Joe/sephine seems happy to populate their social media presence with increasing amounts of detail. Is privacy only a concern of the famous? And should they be shaping law and policy? Read more.
Location: Buckingham Room Level: Intermediate
John Sheridan (The National Archives), Jeni Tennison (Open Data Institute)
Average rating: ****.
(4.50, 2 ratings)
To what public sector problems is open data the solution? This talk will describe how opening data has allowed The National Archives to introduce a new operating model for revising legislation, updating the government's legislation database, bringing private investment in to improve open, public and free, legislation data. It will describe the operating model and technology behind this approach. Read more.
Location: King's Suite Level: Non-technical
Marianne Bouchart (Bloomberg News)
Average rating: *....
(1.75, 4 ratings)
A presentation about how the biggest financial news organisation in the world is handling big data on a daily basis through its terminal system, and the new data journalism projects it is developing at the moment to deliver ground-breaking news to the most influential people in the world. Read more.
Location: King's Suite Level: Non-technical
Kristian Hammond (Northwestern Computer Science)
Average rating: ****.
(4.75, 4 ratings)
In this talk, I will look at the next step in big data in general and open data in particular: transparency of insight and how the intelligent transformation of data into narratives can bring to light the stories within it and enable the higher level of understanding and insight needed to support evidence-based decision-making. Read more.
Location: King's Suite Level: Non-technical
Tim Barker (DataSift)
Average rating: ***..
(3.00, 3 ratings)
Data, data everywhere... from our unique experience providing social data to hundreds of customers, we have learned the biggest problems you'll encounter when you get all the data you wish for. In this session, we'll share these problems, some solutions and how we meet our own challenges in dealing with massive flows of social data Read more.
Location: King's Suite Level: Non-technical
Simon Williams (QuantumBlack), Jacomo Corbo (QuantumBlack)
Average rating: ****.
(4.00, 2 ratings)
Strategy has changed. The step-change in data abundance, speed and competition means that static business plans striving for that 'perfect answer' are obsolete. We'll demonstrate how the Data Science underpinning race strategy engines used in Formula One to plan, track and update strategy in real-time are enabling Fortune 500 be more agile, and creating a new way of strategy planning. Read more.
Location: King's Suite Level: Intermediate
Felienne Hermans (Delft University of Technology)
Average rating: ****.
(4.00, 2 ratings)
Spreadsheets are used almost everywhere, for almost everything. Researchers from Delft University of Technology have studied spreadsheet users and their spreadsheets to learn more on how exactly they are built, maintained and migrated. In this session we present a case study concerning the analysis of 3 million spreadsheets we analyzed. Read more.


Sponsorship Opportunities

For information on exhibition and sponsorship opportunities, contact Susan Stewart at or +1 (707) 827-7148

Media Partner Opportunities

For information on trade opportunities contact Kathy Yu at mediapartners

Press and Media

For media-related inquiries, contact Maureen Jennings at

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