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Day 1

Registration & Breakfast

Chairperson Opening Remarks

Innovation is a central pillar to YouGov’s vision

Our origin, as the disruptor in the traditional market research industry and pioneers of online research, is still very much at the core of the business and reflected in everything we do; from the talent we attract, to how we engage with panellist to the products and solutions we build for our clients. During this session we will discuss how we at YouGov have evolved to become an AI business, the power of data to innovate and disrupt the market place and the driving growth from AI to engage with consumers more effectively and efficiently

Mark Jefford Director, Data Applications YouGov

Cyber Threat Hunting using Visual Analytics

Cyber defence analysts are part of a global arms race with ever more sophisticated adversaries. They use a variety of techniques to prevent, detect, understand and respond to threats, which typically involves extracting and making sense of very weak signals in vast swathes of data. Research work at BT focuses on the combination of AI techniques with interactive visualisation in a unified fashion, playing to the strengths of both human and machine, and augmenting the abilities of analysts in security operations environments.

Alex Healing Chief Researcher BT

Jump starting Business Intelligence to gain End to End visibility in Supply Chain

Almost every business pursuing increased operational effectiveness encounters a familiar pattern: flawed or inefficient processes are uncovered, poor data quality and data accuracy are driving wrong business decisions or result in hazardous operational process and task execution. A “fire-fighting” team is conducting surveys of the processes in its existing stage, map out the ideal process and data-workflow, and determine how to improve or fix the challenges. Companies are trying to squeeze out every last drop of operational effectiveness but while finding solutions to known problems is tough enough already, it nearly impossible to find solutions for problems we don’t know they exist (without the underlying data). We want to push the business beyond standard outdated practices, and create unbiased visibility into processes to improve margins, business agility and customer service.

Clemence Chee International Director Operations Business Intelligence HelloFresh

A successful data journey in 5 steps

We spend a lot of time at conferences hearing about all the incredible use cases that people have been delivering, the wild futures ahead in our industries, or how this latest new technology is the remedy to all your issues. What we don’t spend a lot of time focusing on is the often long, often hard journey to take an organisation from the very beginnings of a Big Data delivery, through to it’s completion - or at least it’s transition into the business norm.In this lightening talk, Jason will be running through what the lifecycle of a big data project looks like, broken down into 5 main stages. 

Jason Foster Founder & CEO Cynozure

Networking Coffee Break

In Search of Customer Truths - Using multiple sources of information to build powerful and actionable insights

In today’s world it is possible to collect huge amounts of data on one’s customers yet have little insights into how to improve their experience and sell more. Creating a system that taps various types of data efficiently and effectively, linking qualitative, quantitative insights with behaviours and value drivers has been crucial in building consumers at the centre of decision making at Barclaycard. It foundations are strategic market segmentation underpinning product line strategy, advocacy and brand tracking programmes, customer insights community allowing us to collect feedback to all questions – big and small as well as ability to link the survey responses to actual behaviours of customers and of ours! 

Maciej Partyka Global Head of Customer Insights Barclaycard

Creating data tools to optimise product development

At the FT our preference is to develop analytics capabilities in house. In the spirit of this we are in the process of making big changes to our optimisation platform. In this presentation we will share how this development is going, and the strengths (and weaknesses) of our approach so far, and where we hope to be in 6 months.

Lucy Alexander Product Analytics Financial Times

How a Start-Up is Scaling Analytics Globally

It doesn’t matter what point you’re at in your career, you need to understand some fundamentals about delivering analytics to business. If you’re well into your career you need to know how to get the most out of your teams. If you’re just starting then you need to learn what good analytics looks like – and how to help ensure you’re getting the most out of the data to enable your team to succeed. In this session you’ll learn how DAZN has been able to enable quickly a small analytics team to deliver big results; leveraging a set of core principles & a set of tools (Dataiku) to democratise analytics across a wide-array of talent in the business.  Resulting in the empowerment of people across the business to ask questions of the data & set up to ensure our teams to scale globally as the business expands.

Shaun Moate Director of Data Science & Advanced Analytics DAZN


Actionable Analytics: Fail Fast, Learn Loads, Succeed Swiftly, Action Appropriately

As analysts and data scientists, too often we hear that what we do is academic, not applicable and just plain slow. With larger and more disparate data, it seems the challenge to be relevant quickly is just out of grasp.  In this session we’ll examine strategies to merge people, process, and technology, agile methodology, and analytical techniques in order keep your business stakeholders happy and full of insight. 

Benjamin Lavoie Global Director of Technology Anheuser-Busch InBev

Delivering Agile Data Science

The majority of organisation fail to create business value from their investments in data.Most implementations are either high cost “Death star” projects, local applications that are not built to scale for production workflows or laptop data insight projects that never impact customers.The key to adding value is to adapt and borrow principles from Agile, Lean and Dev Ops. However, Agile Data Science is not just about shipping working machine learning models, but starts with better alignment of data science with the rest of the organisation and its goals.This presentation will outline practical solutions to increasing the velocity of value creation including: prioritisation, new processes for an end-to-end data lifecycle, people and organisation changes to improve collaboration, tools and solution architectures to reduce data friction.This is a new approach to data science, DataOps, which can put analytics professionals in the centre of the company’s strategy, advancing its most important objectives.

Harvinder Atwal Head of Data Strategy MoneySuperMarket

The Social Value of Big Data

At Insight for Good, we believe that the catalyst for social change is within each of us. That is why our commitment to society begins with the empowerment of individuals and progressive organisations that truly want to change the world. 

Wilma Smythe Founder Insight for Good

Networking Coffee Break

Social Science

Social Science

Kimberly Karman Head of Data Science New Scientist

Recap - Do you know what you want?

Session Recap

Panel Session Industry Experts Big Data Panel Session

Networking Drinks Reception

Day 2

Registration & Breakfast

Chairperson Opening Remarks

Data Virtualisation journey at Save the Children

Save the Children embarked on a data virtualisation journey in 2014. This presentation will cover what data virtualisation is, why we chose it, how we are using it, challenges faced and benefits of the platform.

Graham Tucker Head of Data & Development Save the Children

Analytical Solutions for Transaction Decision Making

I will briefly describe challenges that we face when trying to add more intelligence to static rules, what technologies was employing for that aim, and give a few clues how to solve conflicts between different result obtained on single transaction and make final decision.

Evgeny Vinogradov Head of Data Warehouse & Analytical Services Development Department Yandex Money

Big Data Science and Application in Smart Transport and Cities

He has published one book “Models for Vehicular Traffic on Networks”, and over 90 journal and conference papers, including 22 in the leading journals Transportation Research Part B and Transportation Research Part C. He has conducted original research funded by the US National Science Foundation, European 7th Framework Program, Newton Fund, National Science Foundation of China, and a variety of industrial and governmental bodies. He is on the Editorial Boards of Transportation Research Part B, Transportation Research Part C, and International Journal of Transportation. He serves as Guest Editor of TR Part C, and Associate Editors of Networks and Spatial Economics, IEEE ITSC (2015, 2017), SII (2017) and CICTP (2017). He was named “Chan Wui & Yunyin” Rising Star Fellow by US National Academy of Sciences’ Transportation Research Board in 2016.

Ke Han Lecturer Imperial College London

Networking Coffee Break

Facilitating the journey to a data-driven organization with a hands-on and people oriented approach

Data is changing businesses and jobs from all levels. The demand for data science talents has exploded, but they are hard to find.  We can all try to recruit Data Scientists with the perfect holistic skill set or we can focus on an alternative route to success. Robert will introduce you to multiple sustainable approaches to closing the data talents gap, from external outreach to internal development. Furthermore, he will introduce you to what each layer of your organization should know about Data Science to grow to a Data Driven Organization. He will do so by sharing practical examples of well-established companies

Robert Monné Manager The Analytics Academy

IoT in the home

How Hive sees the connected home now and in the future.

D’Arcy Rossiter Head of Insight Hive, a British Gas Innovation

Applying the growth mindset to data science

The growth mindset provides a way for us to learn and develop through our lives. Applying this mindset to data science allows us to scale the impact of data science, and to prepare our organisations for the future.

Ewan Nicolson Principal Data Scientist Skyscanner


Keynote - Condensing Behaviors

Games provide incredibly detailed data about user-product interaction and a unique opportunity for engaging with audiences. Given the massive data from games, they need to be condensed into more actionable information. Behavioral profiling has emerged as a way to solve this problem. Profiling users allow for a condensation of a complex behavioral space, and enables action to be taken towards meeting the needs of the users. In this light keynote, the approaches towards behavioral profiling in the games industry will be outlined and the pros and cons of different techniques discussed with a view on their usefulness across B2C sectors. 

Anders Drachen Professor University of York

Keeping the UK at the forefront of the Data Revolution

The UK has a fantastic opportunity to be a world-leader in the development, adoption and exploitation of advanced Big Data, data analytics, machine learning and AI technologies. The good news is the UK is making steady progress but we are only at the beginning of the evolution of the UK’s data driven future. If the UK is to achieve the full economic and social opportunities data driven technologies has to offer there remain challenges that must be overcome. This presentation will explore the current data landscape in the UK and discuss possible future challenges to the UK’s data driven future must be overcome.

Sue Daley Head of Big Data & Mobile Services techUK

Real Time Pipeline for Data Products

In this presentation Douglas will talk about how Trinity Mirror went from the very early stages of their Data Infrastructure to a near real time pipeline for data products. The talk will cover the alternatives tested, lessons learned and a look forward to where Trinity Mirror's Data Infrastructure is going.

Douglas Penna Lead Data Scientist BBC