[Postponed ] Enabling Data-Driven Product Development & Personalising The FT Paywall

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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.

VIP Guest

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.