[ Event postponed – Date to be confirmed]
We regret to inform you that considering the situation, for safety and health reasons the event date is shifted for April. Please follow us for more information and new announcements.
Three Top Financial Times Data Experts invite you to join us for an interesting talk. It is well-
known that data plays a significant role in getting product teams to be forward-thinking. Good
data helps in identifying opportunities to improve any company product portfolio.
In this talk, Elena Georgieva will review how The Financial Times maintain the data
efficiently, securely and enable data-driven culture by providing efficient tools for BI, Data
Science and Machine Learning on top of their Enterprise Data Lake. She will review real use
cases of how by using these tools so that better service to subscribers at FT.com to be
provided based on data they have.
Cloudy Carnegie will share why The Financial Times paywall is an important step in the
journey of a user to becoming a valuable subscriber. During this vital stage, it is vital to
maximize the potential lifetime value of the customer to the company. One way they can do
this is by encouraging relevant users to sign up to a full subscription, rather than a monthly
Trial. In this talk you’ll hear about a recent project worked on by members of the Data
Science team in which they built a real-time paywall decisioning service, using machine
learning to leverage behavioral data and increase the overall lifetime value of customer sign-
Elena Georgieva is a Principal Engineer at the Financial Times and is leading the Data
Platform Team based in Sofia, Bulgaria. Elena is a software professional with a focus on Data
Management and Applications with broad technology experience from relational databases to
Big Data solutions with 18 years of experience in the industry. Last 5 years she has been
specializing in platforms for telemetry storage and analysis of product usage.
Cloudy Carnegie is a Data Scientist for the Financial Times. She has worked on projects on
dynamic paywalls, customer segmentation and reporting customer value metrics to inform the
wider business. Prior to working at the FT, Cloudy completed a PhD in Nanophysics at the
University of Cambridge.
Each speaker’s talk will last 20-min , followed by a timeframe for Q&A.
Oli Elliott-Taysom is the Head of Data Science for the Financial Times. He and his team have
developed recommendation engines for newsletters and content, dynamic paywalls and
customer lifetime value models to support the FT’s subscription model. Before the FT, Oli
worked as a data scientist and statistician at Cambridge biotech company Abcam.
Event will be located in the Sofia office of Financial times – Moskovska 9 Street, Sofia.
Bookings are closed for this event.