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Programme Day 1

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1Main auditorium

  • Big Data trends and strategy
  • Participants’ welcome

    09h00 - 09h20

  • Towards a trusted cloud ecosystem?

    09h20 - 09h50

    Opening speech
  • Conversation about Cambridge Analytica and the future of Data protection

    09h50 - 10h10

    Keynote
  • Big Data strategy: from roadmaps... to ROI

    10h10 - 10h30

    Keynote
  • Break & networking

    10h30 - 11h10

  • Governance and data quality

    11h10 - 12h00
    Round table
    - What is the Chief Data Officer’s role?
    - Why must this issue be spearheaded at a strategic level?
    - What can be done to get CDO, CIO and business lines working hand-in-hand?
    • Christina POIRSON Group Chief Data Officer SOCIETE GENERALE

  • How to get prepared for Quantum Computing

    12h00 - 12h20

    Keynote
    • Maud VINET Quantum computing program manager CEA LETI

  • Lunch

    12h20 - 14h00

    Your Full Conference Pass gives you access to a refreshments area
    Optimise your time: line-up meetings via our Connect by Corp platform
  • 1Main auditorium
  • B2C Marketing Case Study Track
  • Mobility and airports of the future: How is Big Data improving the travel experience?

    14h00 - 14h20

    - 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?
  • Implementing a data lake to drive a 360-degree customer strategy

    14h20 - 14h40

    - 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?
  • Optimising consumption and demand prediction to reduce turnaround times and improve the customer experience: Towards a supply chain reformed by Big Data

    14h40 - 15h00

    - Tackling the challenge of rapidly rising sales projections: what can be done to maintain delivery turnaround times and preserve customer satisfaction?
  • E-commerce Case Study

    15h00 - 15h20

    - Data at the heart of each stage in the customer journey all the way through to payment (acquisition, conversion, basket)
    - Using Big Data as the key to increasing the consumer’s average spend
    - How to anticipate and reduce the abandon rate with the help of Machine Learning
  • Break & networking

    15h20 - 16h00

  • 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

    16h00 - 16h20

    Case Study
  • How can Big Data be used to effectively measure marketing campaign ROI?

    16h20 - 16h40

    - Attribution marketing: how to build your marketing strategy by measuring the impact campaigns actually have on revenue across each communications channel
  • Using sentiment analysis and semantic analysis to improve customer insight

    16h40 - 17h00

    Transforming customer comments into customer insight

2Amphithéâtre Bleu

  • Track Consulting - Free access
  • 2Amphithéâtre Bleu
  • Expert Track
  • Opening speech

    14h00 - 14h20

  • “One click Big Data”, dream or reality?

    14h20 - 14h40

    The automation of Big Data infrastructures and applications - where are we currently at?
  • Data wrangling, or preparing data for use by business lines

    14h40 - 15h00

  • Case Study

    15h00 - 15h20

  • Break & networking

    15h20 - 16h00

  • Big Data and the challenge of data quality

    16h00 - 16h20

  • Big Data and marketing automation, stronger together

    16h20 - 16h40

  • Can GDPR, conformity, security and Big Data all go hand-in-hand?

    16h40 - 17h00

    - Data anonymisation: Masking
    - Machine availability in the event of an attack
    - GDPR aspect: huge amounts of nominative data with obligations linked to processing and storage
  • Is the end nigh for Hadoop?

    17h00 - 17h20

    • Cédric CARBONE CTO OGURY

Workshop A

  • 09h30 - 10h00

  • 10h00 - 10h30

  • 10h30 - 11h00

  • 11h00 - 11h30

  • 11h30 - 12h00

  • 12h00 - 12h30

  • 12h30 - 13h00

  • 13h00 - 13h30

  • 13h30 - 14h00

  • 14h00 - 14h30

  • 14h30 - 15h00

  • 15h00 - 15h30

  • 15h30 - 16h00

  • 16h00 - 16h30

    Would you trust your model with your life?

  • 16h30 - 17h00

  • 17h00 - 17h30

  • 17h30 - 18h00

  • 18h00 - 18h30

    Get an agile data stack in weeks with no Data Engineer

Workshop B

  • 09h30 - 10h00

  • 10h00 - 10h30

  • 10h30 - 11h00

  • 11h00 - 11h30

  • 11h30 - 12h00

  • 12h00 - 12h30

  • 12h30 - 13h00

  • 13h00 - 13h30

  • 13h30 - 14h00

  • 14h00 - 14h30

  • 14h30 - 15h00

  • 15h00 - 15h30

  • 15h30 - 16h00

  • 16h00 - 16h30

  • 16h30 - 17h00

    Digital transformation : a real challenge

  • 17h00 - 17h30

  • 17h30 - 18h00

Workshop C

  • 10h00 - 10h30

  • 10h30 - 11h00

  • 11h00 - 11h30

  • 11h30 - 12h00

  • 12h00 - 12h30

    How to fail your migration in the Cloud in 5 steps

  • 12h30 - 13h00

  • 13h00 - 13h30

  • 13h30 - 14h00

  • 14h00 - 14h30

  • 14h30 - 15h00

  • 15h00 - 15h30

  • 15h30 - 16h00

  • 16h00 - 16h30

  • 16h30 - 17h00

  • 17h00 - 17h30

  • 17h30 - 18h00

Workshop D

  • 10h00 - 10h30

  • 10h30 - 11h00

  • 11h00 - 11h30

  • 11h30 - 12h00

  • 12h00 - 12h30

  • 13h00 - 13h30

  • 13h30 - 14h00

  • 14h00 - 14h30

  • 14h30 - 15h00

  • 15h00 - 15h30

  • 15h30 - 16h00

  • 16h00 - 16h30

  • 16h30 - 17h00

  • 17h00 - 17h30

Workshop E

  • 10h00 - 10h30

    Open Source in Big Data: pick the right tech for the right job

  • 10h30 - 11h00

  • 11h00 - 11h30

  • 11h30 - 12h00

  • 12h00 - 12h30

  • 12h30 - 13h00

  • 13h30 - 14h00

  • 14h00 - 14h30

  • 14h30 - 15h00

  • 15h00 - 15h30

    Graph: from Database to Analytics

  • 15h30 - 16h00

  • 16h00 - 16h30

Amphithéâtre Bleu

  • DIGDASH

    10h15 - 11h00

    • DIGDASH

  • INDEXIMA

    11h15 - 12h00

    • INDEXIMA

  • JEMS DATAFACTORY

    12h00 - 12h45

    • JEMS DATAFACTORY

  • PWC

    12h45 - 13h30

    • PWC


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