Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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Data Case Studies

9:00am - 17:00pm, Tuesday, April 30, 2019

Data is changing every industry it touches. From retail to entertainment to logistics, collecting and analyzing work helps us improve it. A recent MIT study shows organizations that embrace data do 5-6% better a year in competitiveness and profitability—compounded, data is the difference between dominance and obscurity.

In this day-long series of case studies, we bring together a dozen examples of data in action across a wide range of companies and verticals. Get an inside look at the business models, infrastructure, and processes that leading companies have deployed. And hear hard-won lessons you can put to work immediately.

Tuesday, 30/04/2019

9:00

Add to your personal schedule
9:00–9:05 Tuesday, 30/04/2019
Tutorial
Strata Business Summit
Location: Capital Suite 12
Paco Nathan (derwen.ai)
Paco Nathan welcomes participants to the Data Case Studies tutorial. Read more.

9:05

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9:05–9:30 Tuesday, 30/04/2019
DCS
Case studies
Location: Capital Suite 12
Ganes Kesari (Gramener)
Average rating: ****.
(4.67, 6 ratings)
Global environmental challenges have pushed our planet to the brink of disaster. Rapid advances in deep learning are placing immense power in the hands of consumers and enterprises. Ganes Kesari explains how this power can be marshaled to support environmental groups and researchers who need immediate assistance to address the rapid depletion of our rich biodiversity. Read more.

9:30

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9:30–10:00 Tuesday, 30/04/2019
DCS
Case studies
Location: Capital Suite 12
Cecilia Marchi (Jakala)
Average rating: *****
(5.00, 5 ratings)
Cecilia Marchi shares a case history of a major beverage company that wanted to get a detailed picture of the French out-of-home market. The combination of unusual data sources, technology assets, geographical analysis, and advanced analytics led to the deployment of a tool now supporting both sales and marketing team in understanding the market and optimizing activities and investments. Read more.

10:00

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10:00–10:30 Tuesday, 30/04/2019
DCS
Location: Capital Suite 12
Marc Rind (ADP)
Average rating: ****.
(4.50, 6 ratings)
Marc Rind shares his experience creating a cross-functional team, discusses the power of listening to others’ points of view (and what you can learn from them), and explores real-world case studies of leaders with varying backgrounds and perspectives who collaborated to take data from analysis to idea to product rollout. Read more.

11:00

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11:00–11:30 Tuesday, 30/04/2019
DCS
Location: Capital Suite 12
Juan Bengochea (Royal Caribbean Cruise Lines)
Average rating: ****.
(4.29, 7 ratings)
Juan Bengochea offers an overview of Cerebro, a platform developed at Royal Caribbean Cruise Lines for analytics that serves the needs of both its data scientists and analysts from a common system. Cerebro is based on a number of open source projects, including Hadoop, Parquet, Spark, and Apache Arrow, as well as cloud services like Azure Data Lake Store, Azure Databricks, and MongoDB Atlas. Read more.

11:30

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11:30–12:00 Tuesday, 30/04/2019
DCS
Business Analytics and Visualization
Location: Capital Suite 12
Alicia Williams (Google)
Average rating: ***..
(3.75, 4 ratings)
You don’t need to be an expert to bring ML to your business. Alicia Williams explains how two media companies used pretrained models and AutoML to organize content and make it accessible around the world. Along the way, she details the business problems they solved with ML, demonstrates the ease of use of the tools themselves, and shows the value that ML has brought in each case. Read more.

12:00

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12:00–12:30 Tuesday, 30/04/2019
DCS
Culture and organization
Location: Capital Suite 12
Semih Kumluk (Turkcell)
Average rating: ***..
(3.25, 4 ratings)
Semih Kumluk offers an overview of the data science community within Turkcell, which generates projects in all areas of the company, including HR, finance, and sales—all working toward transforming the company into a data-driven business. Read more.

13:30

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13:30–14:00 Tuesday, 30/04/2019
DCS
Case studies
Location: Capital Suite 12
Caroline Goulard (Dataveyes)
Average rating: ****.
(4.20, 5 ratings)
Caroline Goulard demonstrates how to leverage data to rethink the way an industry builds its offering, improve customer experience, and feed its prospective reflection. Caroline focuses on the approach, the methodology, and the results achieved for a leading public transport operator. Read more.

14:00

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14:00–14:30 Tuesday, 30/04/2019
DCS
Case studies
Location: Capital Suite 12
Simon Moritz (Ericsson)
Average rating: ***..
(3.50, 4 ratings)
The truth is no longer what you see with your eyes; the truth is in the digital sphere, where it only sometimes needs a physical twin. After all, what's the need for a road sign along the street if the information is already in the car? Simon Moritz details how the Fourth Industrial Revolution is transforming companies and business models as we know it. Read more.

14:30

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14:30–15:00 Tuesday, 30/04/2019
DCS
Case studies
Location: Capital Suite 12
Samuel Cristóbal (Innaxis)
Average rating: ***..
(3.40, 5 ratings)
DataBeacon is a multisided data and machine learning platform for the aviation industry. Samuel Cristóbal offers an overview of two of its applications: SmartRunway (a machine learning solution to runway optimization) and SafeOperations (operations safety predictive analytics). Read more.

15:30

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15:30–16:00 Tuesday, 30/04/2019
DCS
Case studies
Location: Capital Suite 12
Volker Schnecke (Novo Nordisk)
Average rating: ****.
(4.20, 5 ratings)
Today, more than 650 million people worldwide are obese, and most of them will develop additional health issues during their lifetime. However, not all are at equal risk. Volker Schnecke discusses how Novo Nordisk mines the electronic health records (EHRs) of millions of patients to understand the risk in people with obesity and to support the discovery of new medicines. Read more.

16:00

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16:00–16:30 Tuesday, 30/04/2019
DCS
Culture and organization, Strata Business Summit
Location: Capital Suite 12
Julia Butter (Scout24)
Average rating: ****.
(4.50, 4 ratings)
Creating value out of your data is not about technology or engineers; it's about changing the culture in the company to make everyone aware of data and how to build on top of it. Julia Butter explains how Scout24 is running a successful culture change—60% of its employees are already using its central BI tool, and since 2018, it's been all about AI enablement. Read more.

16:30

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16:30–17:00 Tuesday, 30/04/2019
DCS
Data Engineering and Architecture
Location: Capital Suite 12
Aaronpal Dhanda (EasyJet )
Average rating: ****.
(4.33, 6 ratings)
easyJet began its data transformation journey back in 2017. Aaronpal Dhanda shares the story of its two-year Data Transformation program to deliver an enterprise data lake and surrounding data fabric toolset to support advanced analytics, machine learning, customer 360 view, and corporate BI and reporting. Read more.