Merging Cloud Native and Legacy Data Source Using Spark by Rama Karmokar, Directline Group Part of Direct Line Group’s cloud transition was to build a centralised data analytics platform to cater analytical and data science use cases. This platform needed to combine more than 35 years’ worth of data from legacy systems, as well as […]
Data Science in the world of Price and Promotion by Amritangsu Nandy, dunnhumby Analysing existing price and promotion strategy and providing recommendations for high-level strategy modification and tactical implementation requires solving multiple problems at scale. Additionally, the solution can’t be a black box algorithm, it has to be based on Econometric theory. I’ll be talking […]
Innovation in an industry that stands still by Ryan Jones & Tara Tahseen, CFC Innovation is key to delivering the best services for our clients and making the best decisions, but industry-wide changes can be slow… particularly in heavily regulated industries like insurance. Ryan and Tara explain how CFC is applying data to enable a platform-agnostic […]
How (not) to run a consumer side experiment by Cecilia Chen, Deliveroo In this session, we will talk about tips, lessons and particularities when running consumer side experiments, with a detailed discussion on the “intent to treat” technique, which is particularly useful when not all consumers in the experimental condition are in fact exposed to […]
Computing 60 Billion transactions at the speed of Cloud using Databricks by Mitchell Feldman Learn how Future Anthem is leveraging the power of Databricks and the Cloud to unlock ‘never seen before’ outcomes that are disrupting the gambling sector for the better.
Empowering Growth without guesswork through Data Science at Attest by Alastair James, Magda Zubala & Reyhaneh Esmaielbeiki Attest is a consumer research platform that enables brands to create and run targeted surveys to generate actionable insights. Therefore, it is important for Attest to understand the behaviour of respondents of a survey and to remove low-quality […]
Marketing Mix Modeling using Robyn open-source package by Igor Skokan & Leonel Sentana Open Source Automated Marketing Mix Modeling – Project Robyn We believe in opening the black box, transparent and customizable models that democratize econometrics & MMM and solve for analyst bias and subjectivity, so we’d love to share our work on “Robyn” = an […]
Identifying financial vulnerability with unsupervised machine learning by Rebecca Vickery As we enter a period of rising prices and stretched household budgets, it has never been more important for energy suppliers to provide practical support for customers who are financially vulnerable. At EDF, we have always demonstrated our care and support for customers with any […]
Uptaker, predicting the most popular recipes on a menu by Ethan Potter, Hai Nguyen & Irene Iriarte Carretero In Gousto, our data products are used in a wide range of business use cases such as understanding customer tastes for recipe recommendations, optimising our factory picking lines or providing accurate forecasts to minimise food waste. In […]