Data Insight Leaders Summit 2017

October 18-October 19, 2017

Hotel NH Collection Barcelona Tower

Contact: 44 (0) 207 036 9451

Evidencing Data’s True Business Value

08:15 AM - 08:55 AM Registration And Networking Coffee

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

Establishing Winning Internal Relationships

09:10 AM - 09:30 AM Board Keynote: The journey of a CDO: How to evangelise a data driven mindset across your organisation to drive new business models that give your company a competitive advantage

Sanjeevan Bala, Head of Data Planning and Analytics, Channel 4
  • Becoming a change agent: How does the introduction of an internal data champion enhance collaboration between departments and enable the distribution of analytics across the business?

  • Overcoming resistance: How to demonstrate the business impact of data-driven decision making to the board and make the case for further investment in analytics

  • Strengthening relationships with key business stakeholders: How can you get your business counterparts to embed data in their day to day to transform the success of their departments?

  • How to determine who is best placed to help you own the data strategy and drive organisational change to keep at pace with evolving processes and technology

  • How can CDO's work with analytics leaders to seamlessly integrate data into internal processes and enable an agile progression of data capabilities to fuel the business?


Sanjeevan Bala

Head of Data Planning and Analytics
Channel 4

09:30 AM - 10:00 AM Fireside Chat: How can you successfully work with other internal leaders to establish a thriving environment for data-driven decision making across the enterprise?

Paul Laughlin, Founder and Managing Director, Laughlin Consultancy Bertrand Hassani, Global Head of Research and Innovation, Banco Santander
  • What are the key step changes that have to be made to transform your business into an analytics-driven organisation?

  • Creating a cohesive data-driven organisation: How can you work together to overcome competing internal functions and departmental silos to get the business better at analytics?

  • Understanding each other’s world: How can you better understand how to engage with various company functions and build stronger relationships between them and your data teams?

  • Aligning company goals: How can you get your business sponsors and technical leads working in unity to increase your data maturity and boost the bottom line with in-house capabilities?

  • How can you get the wider business to think long-term about data investments and work in an agile manner to keep up with the speed that data is moving at?


Paul Laughlin

Founder and Managing Director
Laughlin Consultancy

Bertrand Hassani

Global Head of Research and Innovation
Banco Santander

10:00 AM - 10:20 AM Guest Speaker: Succeeding in change management: How to introduce a new mindset across your company to achieve a fundamental cultural shift that truly drives innovation

  • Starting at the top: How do you engage with the board to get sponsorship for your strategy and successfully spread your message across the business?

  • Building alliances: How can you build relationships with leaders across the company so they can echo your message and ensure coherent communication across all departments?

  • How can you prepare, equip and support your business functions in light of the changes you are making to ensure you are successful?

  • Driving success with story telling: How can you paint the picture of your vision to communicate in a compelling way and drive engagement from individuals across the business?

  • Selling the benefits of being data-driven: How can you use data techniques to showcase real examples of business problems solved by analytics to prove data's value?

  • Making data a priority: How to create a winning business case that speaks to senior leadership who lack technical understanding to secure investment when there is competition for resources across the business

  • Moving past convincing the c-suite: How can you support your teams following board buy-in to effectively execute and enforce your data strategy?

  • Managing business expectations: How can you balance of long term data projects with quick wins to prove the value and cost of your data science team to the business

  • How can you justify long term benefits of data while foregoing short term benefits?

  • How can you successfully manage the time you invest in proving data's value to the business vs actually driving value for the business?


Claire Pritchard

Director Business Intelligence and Analytics
Liberty Global

Dan Kellett

Director of Data Science
Capital One

Charlie Ballard

Global Director, Strategic Insights

Paul Laughlin

Founder and Managing Director
Laughlin Consultancy

Danielle Beltran

Global Head of Brand Analytics

11:00 AM - 11:45 AM Morning networking break

Marketing & Customer Experience

11:45 AM - 12:30 PM Case Study Interactive: How to extract actionable intelligence from various forms of customer data to drive your sales and marketing function

Tim Lum, Director of Marketing Analytics and Data Product, Expedia

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

  • Acting on advanced analytics: How can you combine historical and real-time consumer data to meet current customer needs?

  • Creating a 360 customer view: How can analytics help you identify and build better relationships with real brand fans?

  • Keeping your sales team smart: How can insights from customer data help your sales people drive business growth by cross selling relevant products and services?

  • How to apply advanced analytics to identify new and relevant target audiences for your company products and services


Tim Lum

Director of Marketing Analytics and Data Product

Operations & Logistics

11:45 AM - 12:30 PM Case Study Interactive: How to effectively push data insights to the front line to increase company competencies and serve multiple stakeholders

  • Building a big data dashboard: How can you pool findings from company data to improve business decision making and quicken internal processes?

  • How can real-time analytics help business leaders make quick decisions based on continuous data streams?

  • How can you use predictive analytics to help refine the future cost-effectiveness of business processes?

  • How is the progression of advanced analytics cutting down the manual workload for companies?

  • Which business processes can we leave in the hands of data analytics and which still need human intervention?

Product Innovation

11:45 AM - 12:30 PM Synergy Workshop: How can you apply advanced analytics to real world data sets to enhance your product lifecycle management and improve your market offering?

Ian Pepper, Global Enterprise Architect, Big Data and Analytics, Novartis
  • How can you extract insights from real world data sets to explore product performance and highlight areas for improvement to further strengthen it’s proposition in the marketplace?

  • How can you best use actionable insights to identify and develop your highest performing products to increase customer consumption rates?

  • Data-driven disruption: How to run predictive analytics on real world data to create new business models and enhance your product portfolio

  • How can you best apply real world insights from customer data to your value chain to optimise your processes at every stage?


Ian Pepper

Global Enterprise Architect, Big Data and Analytics

Governance, Risk & Compliance

11:45 AM - 12:30 PM Creative Boardroom: How to capture data from your global customer base whilst remaining compliant with regional data privacy regulations

  • How does the GDPR affect the way you interact with customers and how can you align your company to comply whilst working in the best way for your customers?

  • How can you use data privacy regulations to your advantage when collecting customer data?

  • How do you get customers to actively share their details with you to overcome privacy constraints?

  • Minimising the threat of cyber hacks: How can you embed data governance at the foundation of your business to safeguard your customer’s details?

  • How can decide which external companies you can trust to adequately deal with your data?

Marketing & Customer Experience

12:30 PM - 1:15 PM Case Study Interactive: How to work with structured and unstructured data to increase customer acquisition and reduce churn with relevant communication

Harvinder Atwal, Head of Data Strategy and Advanced Analytics,
  • How can analytics improve your attribution model accuracy to highlight and transform your most successful marketing channels?

  • How can you introduce predictive analytics to increase your customer segmentation competency?

  • How can insights from consumer data help you to predict customer life time value and focus on your top customers?

  • How can split testing consumer data help to improve your customer offering and boost retention rates?


Harvinder Atwal

Head of Data Strategy and Advanced Analytics

Operations & Logistics

12:30 PM - 1:15 PM Oxford style debate: True or False Creating a centralised data science hub is the best way to drive data analytics out across the business and best serve company stakeholders

Andrew McMurtrie, Head of Data Science, Direct Line Group

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?


Andrew McMurtrie

Head of Data Science
Direct Line Group

Product Innovation

12:30 PM - 1:15 PM Synergy Workshop: How to best work with IoT to monetise data streams from your customer's connected devices

  • How can you use live customer data generated from IoT devices to provide the business with real-time insights into product usage?

  • How can you best work with data streams from customer devices to effectively push product information out to the wider business?

  • How can you capitalise on customer data from connected devices to help drive innovation for future products?

  • How can you best handle and visualize data from IoT devices?

Governance, Risk & Compliance

12:30 PM - 1:15 PM Session Continued

1:15 PM - 2:15 PM Networking Lunch

Future-Proofing Your Data Science Capabilities

2:15 PM - 2:35 PM Inspirational Keynote: Designing the blueprint for success: How to set your data function up to fully embed analytics across the business and better serve internal functions

Ryan den Rooijen, Head of Data, Dyson
  • Becoming trusted business advisors: How to educate your data science team to serve the business in the best way to gain internal credibility that allows for larger influence

  • How can you teach your team to speak the business language when interpreting data driven results to provide value across all business departments?

  • Creating a community for data: How to implement an internal structure that allows your team to collaborate with business functions to get the most out of data driven insights and raise awareness of data's value across the enterprise

  • How can you continuously evolve your data function's skill sets to move your data team up the maturity curve whilst providing the business with the support it needs to thrive?


Ryan den Rooijen

Head of Data

2:35 PM - 3:00 PM Keynote Interview: Navigating the data science talent pool: How to hire, develop and retain your data teams to create a data science center of excellence for your business

Mike de Halpert, Director of European analytics , ebay
  • How do you best position your brand and job offering to grab the attention of limited talent in the analytics space?

  • Creating a fully rounded team: How can you hire your team around the 3 key pillars of the data science skillset to fill individual knowledge gaps in business and analytics?

  • How much of the data science skillset can be taught outside of traditional education and what the best approaches to enhancing your team talent?

  • Reducing attrition: How can you provide interesting projects in a stimulating environment to keep your team engaged and retain your talent?


Mike de Halpert

Director of European analytics

3:00 PM - 3:20 PM Keynote Case Study: How to successfully prepare for working with the future generation of data scientists to keep your team operating at maximum potential

Dan Kellett, Director of Data Science, Capital One
  • Finding fresh talent: How do you establish relationships with education bodies to successfully recruit for a role that isn’t very well defined?

  • Picking your people: How do you attract the right type of talent and personality traits to further build your team capabilities?

  • Hiring millennials: How to do refine your leadership skills to work with a new generation of employees who bring a new millennial mind-set to the table?

  • How can you develop internal programs to get your recent hires working in harmony with the wider business?


Dan Kellett

Director of Data Science
Capital One

3:20 PM - 4:00 PM Crystal Ball Outlook: Exploring the art of possibility: Which new trends and technological advancements should we expect to see enter the data universe in the next 5 years and how can we take full advantage?

Gael Decoudu, Head of Data Science and Digital Analytics, Shop Direct
  • Predicting the future landscape: How do the skillsets of the data insights team need to evolve as new analytics technologies enter the market?

  • How can you build an agile internal structure that will allow your business to accommodate for new data tools and technologies?

  • The future of the data scientist: How much of the data science role will become automated as analytics continue to increase in sophistication?

  • How can data leaders tackle the lack of skillsets in newer big data and advanced analytics techniques?

  • How we can we continue to build the data science community to entice the next generation of data scientists?


Gael Decoudu

Head of Data Science and Digital Analytics
Shop Direct

4:00 PM - 4:10 PM Chairperson’s Closing Remarks

4:10 PM - 11:59 PM Close of Conference