Data Insight Leaders Summit 2017

October 18-October 19, 2017

Hotel NH Collection Barcelona Tower

Contact: 44 (0) 207 036 9451

Scaling Data Science To Win Big


08:00 AM - 08:55 AM Registration And Networking Coffee

Women In Data Insights Breakfast

08:00 AM - 08:55 AM How can the data analytics industry better attract, develop and retain top female talent?

This networking breakfast gives women in the data insights industry the opportunity to discuss how to best eliminate gender related barriers and successfully climb the corporate ladder. The networking breakfast is limited to a maximum of 15 delegates to promote an open and interactive discussion.

08:55 AM - 09:00 AM Welcome Address: Lucy Bradley, Editorial Director, Worldwide Business Research

09:00 AM - 09:10 AM Chairperson’s Opening Remarks: Paul Laughlin, Founder and Managing Director, Laughlin Consultancy

Paul Laughlin, Founder and Managing Director, Laughlin Consultancy


Paul Laughlin

Founder and Managing Director
Laughlin Consultancy

Putting Analytics At The Heart Of Your Business

09:10 AM - 09:30 AM Board Keynote: How is big data and omni channel changing loyalty analysis in retail and how can you leverage these changes to set your business up for future success

Martin Squires, Global Lead, Customer Intelligence & Data, Walgreens Boots Alliance
• Exploring the traditional world of loyalty analysis
• How can you better track how your customers and their related data are changing?
• What impact does changing customer data have on your current technology and analysis tools?
• What does it mean for skill sets, the data science unicorns?
• Don’t fix what’s not broken: How can you determine what has stayed the same with your customer data?

Martin Squires

Global Lead, Customer Intelligence & Data
Walgreens Boots Alliance
  • Preparing for high quality data: How to implement data management and quality processes at the base of your business to ensure you are working with clean data

  • Getting the basics right: How to best organise your data to create a strong foundation for your data projects

  • Embedding analytics in your business: How can you successfully scale out data standards and best practice across the enterprise for greater business impact?

  • Blending the past and present for a successful future: How can you work effectively with your current and historical data sets to enable you to look forward with predictive analytics?

  • How can you roll out advanced data capabilities in a legacy environment to develop your business capabilities?


Gael Decoudu

Head of Data Science and Digital Analytics
Shop Direct

Nick Hough-Robbins

Data Strategy Director

Paul Laughlin

Founder and Managing Director
Laughlin Consultancy

Rufus Weston

Head of Insight
Just Eat

Cecilia Hellstadius

Head of Business Analysis, Group Analytics

10:10 AM - 10:30 AM Inspirational Case Study: How to best work with data-driven insights to achieve your digital business transformation goals and catapult your company into the future

Olmo Martinez, Head of Data Science, Europe, Anheuser-Busch InBev
  • Bridging the worlds of digital and data: How can you eradicate internal silos to get your teams working in cohesion and drive digital transformation across the business?

  • Thriving in a digitally connected world: How can you use data science to fuel digitalisation across the business?

  • How can you best use digital analytics to your advantage and keep off the competition in today’s rapidly evolving business landscape?

  • How can traditional companies better leverage data technologies to accelerate business competencies and keep up with the speed of change in our increasingly digital world?


Olmo Martinez

Head of Data Science, Europe
Anheuser-Busch InBev

10:30 AM - 10:50 AM New Insights Case Study: Succeeding in Digital Transformation: How to use data analytics to transform how your business operates and give your company a competitive edge in inherently traditional industries

Dr Alexander Borek, Head of Marketing Science, Smart Data and Analytics,, Volkswagen

Based on real experiences in the digital transformation of some of the largest European organizations in traditional industries, Dr. Alexander Borek will explore the following questions on how to drive the change towards a truly data driven enterprise:

  • How can you implement data at the heart of your business to enhance your customer's experience of your brand?
  • How to set the right environment to launch your data projects in an agile way that allow you to fail fast and move on for a quicker route to success?
  • How can you create a modern data culture that will revolutionise company operations to get the most out of working with your data assets and drive your business forward?
  • How can you keep the right balance between investments to incorporate new technologies (e.g. Artificial Intelligence and Blockchain Technologies) and the basic groundwork to make sure your company is ready to absorb them?


Dr Alexander Borek

Head of Marketing Science, Smart Data and Analytics,

10:50 AM - 11:45 AM Morning networking break

Marketing & Customer Experience

11:45 AM - 12:25 PM Case Study Interactive: How to take a consumer-driven approach to analytics that enhances your brand offering and provides greater value for your customers

Magda Piatkowska, Head of Data Science, The Telegraph

Chair: Eric Tyree, VP, Chief Data Scientist, Carlson Wagonlit Travel

  • Perfecting marketing automation: How can you leverage consumer data for accurate customer segmentation to further optimise your campaigns with relevant messaging?

  • How can data driven decision making help you create and provide excellent services that enhance the customer experience?

  • Achieving a single customer view: How can you use analytics to connect customer conversations across multiple channels and provide personalised experiences that will improve your customer relationships?

  • How can analytics help you measure customer interactions to provide a better service along their path to purchase?

  • Being benefit driven: How can you leverage your shopper's data to better understand how your customers want to interact with your brand and better meet their shopping preferences?


Magda Piatkowska

Head of Data Science
The Telegraph

Marketing & Customer Experience

12:25 PM - 12:45 PM Case Study:Taking a new approach to customer data: How can you leverage artificial intelligence to empower your consumer’s with control over their own data to enhance customer experience and transform your brand offering?

Michael Fagan, Director, Data Sciences - EMEA, Microsoft
  • Strengthening customer relationships: How can you rollout a new customer data process across the business to help your customers make informed decisions about your services and control the data they share to increase brand trust?

  • How can you employ advanced analytics to give your customer’s full control over how they communicate with your brand to reduce churn and increase customer engagement?

  • Providing data-driven advice: How can you apply advances in artificial intelligence to create empathetic online assistants that provide real solutions to customer queries for a more personalised and relevant experience?

  • How to build an advanced data platform that allows for agile and accurate analysis of consumer data that can be scaled-up across the business?


Michael Fagan

Director, Data Sciences - EMEA

Marketing & Customer Experience

12:45 PM - 1:15 PM Case Study: How to make a smart analytic car to drive an optimum ROI in online advertising

Amin Jamalzadeh, Research Data Scientist, Booking
  • Exploring the ecosystem of a marketing platform: How can you best understand the ecosystem and related elements to integrate data sources and make a recommendation engine which takes into consideration influential factors such as customer characteristics and lifetime value, seasonality, competitive parity, product availability?

  • Creating a smart analytic car: How can you create an analytic platform which autonomously checks data quality, identifies patterns and diagnoses faulty performance to effectively crunch data and provide accurate recommendation outputs?

  • Leveraging high computational capacities: How to gain competitive advantage by improving your computational capacities to analyse bigger volumes of data and extract more insights from your data sets

  • Creating educational materials for your machine learning engine: How can you create the optimum environment for your machine learning algorithm by enabling it to learn from integrated data sources and its own mistakes?

  • Increasing experimentation to accelerate growth: How can you test multiple hypotheses to experiment with your data in a more agile way and help the business make better decisions at pace?


Amin Jamalzadeh

Research Data Scientist

Operations & Logistics

11:45 AM - 12:25 PM Case Study Interactive: How to automate operational processes with data science to increase efficiencies and cut costs across the business

Vanessa Galvany, Business Intelligence & Advanced Analytics Director, Liberty Global
  • Achieving operational excellence: How can insights from your data help to increase employee engagement with business processes?

  • Making a big business impact: How can analytics help you cut operating costs and keep your company competitive?

  • How can you increase company profits by implementing actionables from data insights to refine your supply chain?

  • How can you drive information from your data sets to your front line staff to increase the proficiency of business operations?


Vanessa Galvany

Business Intelligence & Advanced Analytics Director
Liberty Global

Operations & Logistics

12:25 PM - 1:15 PM Case Study Interactive: How to leverage the current state of machine learning in the operational environment to transform your internal business capabilities

Markus Rotter, Head of Network Analytics, Vodafone
  • Getting over the hype curve: How to increase your understanding of machine learning applications to discover the real value it can offer your business processes

  • Transforming your business capabilities: How can you put machine learning to work on high value tasks to generate greater results for your business at scale?

  • Reducing the heavy lifting: How can machine learning techniques help automate traditionally manual processes and boost your bottom line?

  • How to select which company tasks and processes can be automated to solve simple issues and lighten data scientist’s workload


Markus Rotter

Head of Network Analytics

Product Innovation

11:45 AM - 12:25 PM Case Study Interactive: How to introduce data- driven product innovation to enhance your company offering and boost the business bottom line

Nick Hough-Robbins, Data Strategy Director, Specsavers
  • How can consumer data be used to drive product development for improved customer brand experience?

  • How can analytics help to predict product sales to identify areas for improvement and enhance your product offering to the market?

  • How can you continue to collect data on products currently in the marketplace to further improve your customer value proposition?

  • How can you support the product development process with real world evidence from customer data sets to drive the development of new business models?


Nick Hough-Robbins

Data Strategy Director

Product Innovation

12:25 PM - 1:15 PM Case Study Interactive: How to implement deep learning in your research and development processes to achieve product development at huge scale

Ben Chamberlain, Senior Data Scientist,
  • How can deep learning extract detailed information from your consumer data to enrich your customer profiles that help develop customized products and services?

  • How can deep learning provide deeper insights into customer behavior to enable you to tailor your product offering to meet their current needs?

  • Enhancing your brand offering: How can you use deep learning to build personalised products for shoppers that provide great customer experiences?

  • How can data team increase their contribution to the development of consumer products by using deep learning to increase the accuracy of results they send out the business?


Ben Chamberlain

Senior Data Scientist

Governance, Risk & Compliance

11:45 AM - 1:15 PM Synergy Workshop: Defining data governance: What is the true impact of the GDPR on the collection, storage and redistribution of data and how can you prepare to meet new requirements?

  • What does the GDPR mean for analytics leaders and how do we work with our data sets under new constraints?

  • Implementing data governance in large enterprises: How can you best organise your company to stay compliant when working with customer data?

  • How can you ethically address the movement of data from multiple sources to remain compliant?

  • Working with 3rd party data: How can you ensure that 3rd party data is compliant before implementing it in your business?

  • How can you assure the rest of the business that insights generated from customer data have been compiled in a compliant way?

  • How to best tackle different interpretations of GDPR across EU countries?

1:15 PM - 2:15 PM Networking Lunch

Advancing In-house Analytics

2:15 PM - 3:00 PM Panel Discussion: Evaluating the pros and cons of the data science tool set: How can you select the best analytics tools that actually enable your data science team to reach their full potential?

Harvinder Atwal, Head of Data Strategy and Advanced Analytics,
  • How do you identify which tools your data science teams need to better serve your business?

  • Reducing legwork: How can you leverage the latest advancements in technology to better store, process and analyse data at scale?

  • How do you get around legacy assets by using new analytics tools to automate basic processes?

  • Which new developments are helping to automate the data science process and should be considered in your data science tool set?

  • Mastering the data hype cycle: How can you avoid falling for the ‘next big thing’ and make smart investments in innovations that will truly benefit your business


Harvinder Atwal

Head of Data Strategy and Advanced Analytics

Advancing In-house Analytics

3:00 PM - 3:45 PM Case Study Interactive: Bringing your data to life: How to use data visualization to help you build the business case for increasing your analytics capabilities

Claire Pritchard, Director Business Intelligence and Analytics, Liberty Global
  • How to use visualization to demonstrate the quality and quantity of insights extracted from your data sets

  • How can you use visualization to combine findings from different sources to give data more value?

  • How can you use visualization techniques to demonstrate findings from unstructured data sets?

  • How can you use data visualization to enhance the power of your messaging when communicating with business stakeholders?

  • How can visualisation tools help business users to better consume data?


Claire Pritchard

Director Business Intelligence and Analytics
Liberty Global

Creating The Infrastructure Foundation

2:15 PM - 3:00 PM Case Study Interactive: How to work through the deluge of platform providers in the data universe to find the right fit for your business

  • How do you select a big data platform that best meets you specific business needs?

  • How do you seamlessly integrate new platforms with legacy parts of the business to get the most of out your data?

  • How can you organise your company functions to get the most out of your big data infrastructure?

  • Technology as a business enabler: Which platforms can best support your data team to work at speed and agility at huge scale?

Creating The Infrastructure Foundation

3:00 PM - 3:45 PM Oxford style debate: True or False Building your big data ecosystem with in-house expertise is the only way to gain competitive advantage and stand out in today’s saturated marketplace

Secure your front row seat as the conference room turns into a debate forum. Choose your position in the opening audience vote and then engage with industry experts as they present their motions, question the opposition, defend their point of view and conclude with their closing statements.

Will your opinion change by the closing vote, as you decide who delivered a knockout argument and claims debate victory?

Building Business Applications

2:15 PM - 3:00 PM Case Study Interactive: How to drive fundamental change across your company with applied analytics to transform your business proficiencies

Mahesh Bharadhwaj, Director, New Customer Acquisitions, Strategic Analytics, Barclaycard
  • How can you successfully change your approach to enterprise analytics in the face of current company challenges?

  • How to analyse which analytical tools and techniques are best placed to help your business users build on your current product offering with new innovations

  • How can you demonstrate the benefits of new analytical tools to take your company stakeholders and colleagues on your analytics journey to fully embed data into the business


Mahesh Bharadhwaj

Director, New Customer Acquisitions, Strategic Analytics

Building Business Applications

3:00 PM - 3:45 PM Synergy Workshop: How to implement front end data tools for the business to access, analyse and draw their own conclusions from analytics

  • Which tools are best placed to help you generate actionable insights from raw data sets to share with business users? What tools best allow for leveraging insights from real-time business analytics?

  • Which big data tools enable users to easily identify patterns and analyse findings to enable simple data-driven decision making?

  • How can you implement self serving analytics tools for business users to allow them to access the data they need autonomously?

New Frontiers In Open Source And Cloud

2:15 PM - 3:45 PM Synergy Workshop: Completing your data journey: How can you migrate your analytics infrastructure onto the cloud to better serve your business with more agile insights?

  • How to successfully transition to the cloud and open source technology from proprietary partnerships to unleash the full power of your data in an open environment

  • Overcoming the fear factor of failing with data science: How can you define a forward thinking culture for your data teams and business users to enable them to work more creatively on open source?

  • How to identify where open source platforms can help to cut costs and create value for your business

  • How can you assure your business stakeholders around security concerns of working with company data in the cloud?

3:45 PM - 4:15 PM Afternoon Networking Break

Creating An Analytics Led Environment

4:15 PM - 4:35 PM Guest Speaker: Evaluating the latest hype curve in data science: How to best prepare your data to unlock the power of artificial intelligence and help your business reach it's true potential

  • Understanding the current state of artificial intelligence: What are the current business applications for artificial intelligence and what could they be in the near future?

  • Getting around the hype: How can you fully explore the capabilities of artificial intelligence to determine how you can incorporate it into your business model?

  • Creative vision for data innovation: How far can we successfully automate artificial intelligence and what roles should we allocate it to make the greatest business impact?

  • How can data scientists and analytical functions work in collaboration with artificial intelligence to boost productivity and get more out of data sets?

  • What does the increasing use and sophistication of artificial intelligence really mean for the data science community?

4:35 PM - 4:55 PM Inspirational Case Study: Learning at hyper-scale: How to create a self-learning business

Mike Hyde, Data Science Director, Facebook

Drawing on experiences at Skype and Facebook, Mike Hyde will highlight key ingredients and lessons learned on the journey to data-impact when dealing with very large and complex data sets and rapidly moving organisations.

  • How can you create businesses that continuously experiment, evolve and learn in order to maintain competitive advantage?
  • How can you fully harness big data and data science and integrate them into the heart of company culture to build a data-powered business?
  • How can you work with complex data at huge scale to build a self-learning and data-driven organisation that moves at speed?


Mike Hyde

Data Science Director
  • First things first: How can you ensure you are working with the true totality of your data sets to run successful analytics?

  • How can you organise your teams, technology and processes to successfully launch your data projects into production?

  • How can you break your core data competency into functional clusters that seamlessly integrate analytics into internal processes to serve the entire business?

  • How can you work with legacy parts of the business to help them adopt data-driven insights to increase their success rates?

  • Achieving data democratisation: How can you create pipelines to get data into the hands of business users and pave the way for self serving analytics?


Karolis Urbonas

Head of Data Science

Chris Conroy

Head of Customer Data Science
Rank group

James de Souza

Head of Customers Analytics
Post Office

Paul Laughlin

Founder and Managing Director
Laughlin Consultancy

Markus Rotter

Head of Network Analytics

Pradeep Devavarapu

Vice President

Finding The Next Big Disruptor

5:35 PM - 5:55 PM Dragons’ Den: Leveraging new and innovative solutions- Of the many new technologies entering the analytics universe which are best to invest in to achieve greater business impact?

Errol Koolmeister, Managing director & Lead data scientist, Moubi Analytics

Join our data dragons and assess the latest innovations as start-up companies pitch their tech in a bid to win first place. Listen up as the dragons review the technologies’ benefits to your business, predict their future success and deliver their verdicts. The ultimate decision is in your hands though, as the audience get to vote for their favourite. Will you find the next big thing?


Errol Koolmeister

Managing director & Lead data scientist
Moubi Analytics

5:55 PM - 6:00 PM Chairperson's Closing Remarks

6:00 PM - 7:00 PM Networking Drinks Reception