Workshop day 1

1Main auditorium

• Big Data trends and strategy

• Participants’ welcome

  9:00 am - 9:20 am
  
  
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• Towards a trusted cloud ecosystem?

  9:20 am - 9:50 am
  
  Opening speech
  €
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• Conversation about Cambridge Analytica and the future of Data protection

  9:50 am - 10:20 am
  
  Keynote
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    Christopher WYLIE Data Scientist and Cambridge Analytica whistleblower

  €
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• Big Data geopolitics: will Europe be the alternative to the American and Chinese models?

  10:10 am - 10:30 am
  Opinion debate
  
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• Break & networking

  10:30 am - 11:10 am
  
  
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• How to set up an efficient data governance, adopted by all

  11:10 am - 12:00 pm
  Round table
  - Organization, acculturation and integrated platforms: successfully transition on these 3 axes
  - How to make CDO, CIO and business lines work hand in hand? What roles to deploy within the company, with what responsibilities?
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    Chafika CHETTAOUI, PhD Chief Data Officer SUEZ GROUP

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    Christina POIRSON Group Chief Data Officer SOCIETE GENERALE

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    Elias BALTASSIS Director Europe, Data & Analytics THE BOSTON CONSULTING GROUP

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• How to get prepared for Quantum Computing

  12:00 pm - 12:20 pm
  
  Keynote
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    Maud VINET Quantum computing program manager CEA LETI

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• Five Principles of a Modern Big Data Analytics Strategy

  12:20 pm - 12:40 pm
  Keynote
  Data platform architectures that were designed in the 1990s are not ready to solve business problems for 2020. Understand how a modern data analytics platform can strip out layers of complexity, common in typical big data solutions, by using fully integrated and serverless services to ingest, store and analyze data seamlessly--and make predictions based on that data--so you can zero in on mission-critical insights. In this session, Google Cloud engineer and industry thought leader will share the 5 key tenets of a modern data analytics strategy, and how they are helping enterprises to accelerate their data driven digital transformation.
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    Sudhir HASBE Director of Product Management GOOGLE CLOUD

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• Lunch

  12:40 pm - 2:00 pm
  
  Your Full Conference Pass gives you access to a refreshments area
  Optimise your time: line-up meetings via our Connect by Corp platform
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• 1Main auditorium
• B2C Marketing Case Study Track

• Mobility and airports of the future: How is Big Data improving the travel experience?

  2:00 pm - 2:20 pm
  
  - How can Wi-Fi be used to gain traveller insight and facilitate segmentation to deliver more targeted offers?
  - Reduced waiting times, real-time communication of information: What can be done to get all business lines involved in delivering better quality services?
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• Implementing a data lake to drive a 360-degree customer strategy

  2:20 pm - 2:40 pm
  
  - What can be done to gain real-time access to historical customer data in-store?
  - Big Data as a real-time analytical source: towards a data lake integrated with the application system?
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• Big Data and R&D: review of how a data lake was rolled out to boost l’Oréal’s research and development work

  2:40 pm - 3:00 pm
  
  - Over 50 million pieces of data are processed at L’Oréal’s Research & Innovation (R&I) centre each day
  - How L’Oréal’s Research & Innovation work is underpinned by a cloud-based governed data lake to gather, protect and share research data from product innovation through to end-user appraisal
  
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    Philippe BENIVAY IS Experimental Data Intelligence L'OREAL

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• How the Société Générale has optimised the end-to-end customer journey to deliver a multi-channel experience

  3:00 pm - 3:20 pm
  
  - How Big Data usage can help forge a cross-channel customer experience
  - Behaviour analysis: from identifying abandonment points to detecting bounce-back marketing opportunities
  
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    Claire ROUFFAUD Product Owner Big Data SOCIETE GENERALE

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    Karim PERDREAU Data Marketing Deputy Director SOCIETE GENERALE

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• Break & networking

  3:20 pm - 4:00 pm
  
  
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• Using speech analytics or voice data analysis to improve customer service: How to transcribe information from thousands of calls to provide customers with the best experience possible

  4:00 pm - 4:20 pm
  
  Case Study
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• Club Med: review of how a data lake was rolled out to leverage a customer 360 strategy

  4:20 pm - 4:40 pm
  
  Club Med walks us through the implementation of its data transformation plan and examines the technological and business learnings
  - Technological strand: hybridization of gradient boosting methods, deep learning and Bayesian models. Review of how algorithms were rolled out to identify customer journey patterns
  - The project in numbers: 14 billion scores calculated each day, +50 variables used in the models, 5 months from scoping through to mass roll-out
  
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    Barbara VANDEPUTTE Head of Customer & Business Intelligence CLUB MED

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    Mathieu CHOUX Partner EKIMETRICS

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• Supporting the sales force with Big Data: how Machine Learning and data science have helped Pernod Ricard associate operational efficiency with optimised sales activities

  4:40 pm - 5:00 pm
  
  - Review of the development of a data analysis application for the on-premise market (café, hotel and restaurant sector) with a view to honing customer insight
  - Application of a scoring model, market segmentation: how to give the sales force the power to target priority areas
  -Leveraging data: changes to business-lines’ data usage habits driven by the availability of real-time data, the identification of prospecting niches...
  How to guarantee data governance in a Big Data environment
  
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    Romain GAUTHIER BI & Data Solutions Manager PERNOD RICARD

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• Carrefour Drive: review of the implementation of an engine that suggests product substitutions to customers

  5:00 pm - 5:20 pm
  
  -Real time, Machine Learning, exploitation of structured and unstructured data: how Big Data usage allows the firm to offer a personalised service whilst boosting sales performance; over 70% of product substitutions are accepted
  -Review of substitution use cases: supply for deferred orders, proposal of in-store substitution in the event of stockouts on promotions, assistance with order picking when preparing click-and-collect orders.
  
  
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    Sylvain BELLIER Executive Vice President EPSILON FRANCE

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    Sylvain MARSAULT Director Data Science & Data Governance CARREFOUR

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