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Presentation Financial Times Big Data at EBU Big Data Conference
Those are the slides of the presentation given by Robin Goad at the EBU Big Data conference in Geneva on March 21st, 2016. We analyse this presentation and some of its key findings on our blog at http://www.intotheminds.com/blog/en
Presentation Financial Times Big Data at EBU Big Data Conference
- 1. Transforming a MediaOrganisation with Big Data Robin Goad, Head of Customer Analytics, Financial Times March 2016
- 2. 1 Agenda A brief historyof the FT What does Big Data mean to the FT? The benefits of Big Data How we do it What’s next? 2 3 4 5
- 3. A brief historyof the FT
- 4. 128 years ofinnovation
- 5. What does BigData mean to the FT?
- 6. The data thatmatters User • Identity • Contact • Subscription • Demographics • Devices • Payment • Permissions Behavioural • What is read? • How is it read? • Where is it read? • How is it found? • Why is it read? • What about stuff that isn’t read? Meta • What is the story about? • Who wrote it? • Where does it belong? • Who can see it? • When, where and why was it published?
- 7. “80% of theFT’s revenue would be at risk if we lost our First Party Data” Internal analysis to determine the value of the FT’s First Party Data
- 8. The benefits ofBig Data
- 9. A data drivenstrategy
- 10. Measuring Reader Engagement Welook at reader behaviour over the last 90 days: • Recency – when did they last visit? • Frequency – how often do they visit? • Volume – how many articles have they read? Engagement score Cancellationrate More engaged readers are less likely to cancel
- 11. Segmenting users basedon behaviour
- 12. Personalisation via data myFT– peronalised content on- and off-site API – feed data to where people need it Editorial authority
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- 15. Team and organisationalstructure Chief Data Officer Analytics Reporting Data Intelligence Data Science Vertical Specialists Campaign Management Data Strategy Technology Product Research 3rd parties Key supporting functions: Customers of Data and Analytics B2C and B2B Editorial Product Finance Advertising Board & Strategy
- 16. “The analytics team(with support from tech, commercial and third parties) will explore ways of finding value as a prerequisite to building in new capability” The FT’s “Analytics First” approach to Big Data
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- 18. What are weplanning for 2016? Data democratisation Distributed content Test, test, test… Plus… • New data sources • Focus on data quality • Answer questions quicker • Develop new skills • Grow team • More stakeholders • Academic partnerships • More innovation…
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