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

Schedule: Data-driven business sessions

9:00–9:10 Wednesday, 1/06/2016
Location: Capital Suite 2/3
Alistair Croll (Solve For Interesting)
Strata + Hadoop World London program chair Alistair Croll opens Data-Driven Business Day. Read more.
9:00–17:00 Wednesday, 1/06/2016
Location: Capital Suite 2/3
Average rating: ****.
(4.00, 6 ratings)
Data-Driven Business Day looks at how to use data to make better business decisions faster. Aimed at business strategists, marketers, product managers, and entrepreneurs and packed with case studies, panels, and eye-opening presentations, this fast-paced day focuses on how to solve today's thorniest business problems with big data. It's the missing MBA for a data-driven, always-on business world. Read more.
9:00–12:30 Wednesday, 1/06/2016
Location: London Suite 2&3 Level: Non-technical
Scott Kurth (Silicon Valley Data Science), John Akred (Silicon Valley Data Science)
Average rating: ***..
(3.83, 6 ratings)
Big data and data science have great potential to accelerate business, but how do you reconcile the opportunity with the sea of possible technologies? Conventional data strategy offers little to guide us, focusing more on governance than on creating new value. Scott Kurth and John Akred explain how to create a modern data strategy that powers data-driven business. Read more.
9:00–12:30 Wednesday, 1/06/2016
Location: Capital Suite 15
Average rating: ****.
(4.00, 3 ratings)
Data 101 introduces you to core principles of data architecture, teaches you how to build and manage successful data teams, and inspires you to do more with your data through real-world applications. Setting the foundation for deeper dives on the following days of Strata + Hadoop World, Data 101 reinforces data fundamentals and helps you focus on how data can solve your business problems. Read more.
14:40–15:00 Wednesday, 1/06/2016
Location: Capital Suite 2/3 Level: Intermediate
Frank Cuypers (University / Destination Think! / Why Your City ?)
Average rating: ****.
(4.00, 1 rating)
Frank Cuypers offers a case study about the research and metric that were constructed as the standard for the tourism industry to monetize the value of marketing actions online. This is is a story about data and tactics, tourism and politics, and Star Trek. Read more.
11:15–11:55 Thursday, 2/06/2016
Location: Capital Suite 4 Level: Non-technical
Emily Sommer (Etsy)
Average rating: ****.
(4.75, 8 ratings)
Bootstrapping is a statistical technique that resamples data many times over—an effective method for determining confidence in A/B test results but an expensive procedure in a world of big data. Emily Sommer explains how Etsy implemented the Bag of Little Bootstraps, a clever take on bootstrapping that involves examining many smaller subsets of one's data. Read more.
12:05–12:45 Thursday, 2/06/2016
Location: Capital Suite 4 Level: Non-technical
Tags: energy
Abigail Lebrecht (uSwitch)
Average rating: ****.
(4.33, 9 ratings)
Data-driven decision making is still contentious, with decision makers skeptical that the data knows more than they do. Often they're right; if data is not communicated with a good understanding of the uncertainty, the findings can be meaningless. Abigail Lebrecht uses Bayesian and frequentist techniques to highlight bad data communication in business and the media and shows how to get it right. Read more.
14:05–14:45 Thursday, 2/06/2016
Location: Capital Suite 4
Tags: media
Paul Shannon (7digital Group Plc), Alan Hannaway (7digital)
Can our real-time distributed data systems help predict whether high-resolution audio is the future of digital music? What about content curation? Paul Shannon and Alan Hannaway explore the future of music services through data and explain why 7digital believes well-curated, high-resolution listening experiences are the future of digital music services. Read more.
14:55–15:35 Thursday, 2/06/2016
Location: Capital Suite 4
Lucian Lita (Intuit), Mita Mahadevan (Intuit), Shalin Mantri (Uber), Gabrielle Gianelli (Etsy)
Average rating: ***..
(3.78, 9 ratings)
A data-driven culture empowers companies to deliver greater value to their customers, yet many organizations still struggle to break down cultural barriers and drive data-driven innovation across their products. Lucian Lita, Mita Mahadevan, Shalin Mantri, and Gabrielle Gianelli explore Intuit's, Uber's, and Etsy's A/B platforms, which enable experimentation and engender a data-driven mentality. Read more.
17:25–18:05 Thursday, 2/06/2016
Location: Capital Suite 4 Level: Non-technical
Tags: education
Duncan Ross (Times Higher Education), Francine Bennett (Mastodon C)
Average rating: ****.
(4.50, 4 ratings)
In 2014, Times Higher Education made the decision to move from being a traditional publisher to being a data business. As part of the move, it needed to bring the creation of the World University Rankings in-house and build a set of data products from scratch. Duncan Ross and Francine Bennett explain how the transition was made and highlight the challenges and lessons learned. Read more.
12:05–12:45 Friday, 3/06/2016
Location: Capital Suite 4 Level: Non-technical
Phil Harvey (Microsoft)
Average rating: ****.
(4.25, 12 ratings)
Data is all sales and marketing. The reality of data work is pain. Most data projects fail and are horrible experiences to work on. Phil Harvey explains that data is just too hard—the world needs to talk about real challenges so that we can start tackling them to deliver data projects that work. This is DataOps; there will be tears before bedtime. Read more.
14:05–14:45 Friday, 3/06/2016
Location: Capital Suite 4 Level: Non-technical
Marton Trencseni (Facebook)
Average rating: ***..
(3.12, 8 ratings)
At first glance A/B testing is a simple matter: take a few numbers, put them into an online calculator, and read off the statistical significance. But in fact it's a complex topic with amazing opportunities (and pitfalls) for organizations. Marton Trencseni offers a deep dive into A/B testing to provide attendees the information needed to improve their organizations' experimentation cultures. Read more.
14:55–15:35 Friday, 3/06/2016
Location: Capital Suite 4 Level: Non-technical
Nicholas Turner (Incited)
Average rating: ***..
(3.33, 3 ratings)
Nick Turner offers an insightful view on how technology is delivering self-service analytics through visualization and enabling business users to quickly explore their data at scale. Read more.
14:55–15:35 Friday, 3/06/2016
Location: Capital Suite 8/9 Level: Intermediate
Dave McCrory (Basho Technologies)
Average rating: *....
(1.88, 8 ratings)
Dave McCrory explores the concept of data gravity—the effect that as data accumulates, there is a greater likelihood that additional services and applications will be attracted to this data, essentially having the same effect gravity has on objects around a planet—and discusses how the giant cycle of expansion and use of data and services in the cloud is created and what to do about it. Read more.
16:35–17:15 Friday, 3/06/2016
Location: Capital Suite 4 Level: Intermediate
Calum Murray (Intuit)
As Intuit evolved QuickBooks, Payroll, Payments, and other product offerings into a SaaS business and an open cloud platform, it quickly became apparent that business analytics could no longer be treated as an afterthought but had to be part of the platform architecture as a first-class concern. Calum Murray outlines key design considerations when architecting analytics into your SaaS platform. Read more.