Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Data Case Studies

9:00 - 17:00, Tuesday, 22 May 2018

Location: Capital Suite 2/3

From banking to biotech, retail to government, nonprofit to energy, every business sector is changing in the face of abundant data. Driven by competitive pressures and rising consumer expectations, firms are getting better at defining business problems and applying data solutions. The road to a data-driven business is paved with hard-won lessons, painful mistakes, and clever insights. We’re introducing a new Tutorial Day track packed with case studies, where you can hear from practitioners across a wide range of industries. We call this track Data Case Studies. In a series of 12 half-hour talks aimed at a business audience, you’ll hear from household brands and global companies as they explain the challenges they wanted to tackle, the approaches they took, and the benefits—and drawbacks—of their solutions. If you want practical insights about applied data, look no further.

 

Tuesday, 22/05/2018

9:00

Add to your personal schedule
9:00–9:05 Tuesday, 22/05/2018
Location: Capital Suite 2/3
Taylor Martin welcomes you to Data Case Studies. Read more.

9:05

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9:05–9:30 Tuesday, 22/05/2018
Data science and machine learning, Data-driven business management
Location: Capital Suite 2/3 Level: Intermediate
Dan Jeavons (Shell)
Average rating: *****
(5.00, 2 ratings)
As the world moves to a lower hydrocarbon future, Shell is using data to drive its own organizational change. Analytics and the transformation of a skilled analyst workforce into the next generation of citizen data scientists are the keys to Shell’s growth. Dan Jeavons details Shell’s journey to data analytics excellence. Read more.

9:30

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9:30–10:00 Tuesday, 22/05/2018
Data-driven business management, Visualization and user experience
Location: Capital Suite 2/3 Level: Beginner
Hollie Lubbock (Fjord), Jivan Virdee (Fjord)
Average rating: ***..
(3.00, 4 ratings)
Data has opened up huge possibilities for analyzing and customizing services. However, although we can now manage experiences to dynamically target audiences and respond immediately, context is often missing. Hollie Lubbock and Jivan Virdee share a practical approach to discovering the reasons behind the data patterns you see and help you decide what level of personalized service to create. Read more.

10:00

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10:00–10:30 Tuesday, 22/05/2018
Data science and machine learning
Location: Capital Suite 2/3 Level: Non-technical
fausto morales (Arundo), Marty Cochrane (Arundo)
Average rating: ****.
(4.67, 3 ratings)
In motorcycle racing, riders make snap decisions that determine outcomes spanning from success to grievous injury. Fausto Morales and Marty Cochrane explain how they use a custom software-based edge agent and machine learning to automate real-time maneuvering decisions in order to limit tire slip during races, thereby mitigating risk and enhancing competitive advantage. Read more.

11:00

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11:00–11:30 Tuesday, 22/05/2018
Data-driven business management
Location: Capital Suite 2/3
Carme Artigas (Synergic Partners), Nuria Bombardo (Pepsico)
Average rating: ***..
(3.00, 1 rating)
The entire retail sector has started to transform its core business in order to meet new consumers demands. Carme Artigas and Nuria Bombardó explain how Synergic Partners has helped Pepsico leverage its data to achieve direct business impact in revenue growth. Read more.

11:30

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11:30–12:00 Tuesday, 22/05/2018
Data-driven business management
Location: Capital Suite 2/3 Level: Non-technical
Jane McConnell (Teradata), Paul Ibberson (Teradata)
Average rating: ***..
(3.00, 1 rating)
Oil exploration and production is technically challenging, and exploiting the associated data brings its own difficulties. Jane McConnell and Paul Ibberson share best practices and lessons learned helping oil companies modernize their data architecture and plan the IT/OT convergence required to benefit from full digitalization. Read more.

12:00

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12:00–12:30 Tuesday, 22/05/2018
Data-driven business management, Visualization and user experience
Location: Capital Suite 2/3 Level: Non-technical
Michael Troughton (Conduce), Jonathan Genah (DHL Supply Chain)
DHL has partnered with Conduce to provide a human interface that provides real-time visualizations that track and analyze distance traveled by personnel and warehouse equipment, all calibrated around a center of activity. Michael Troughton explains how this immersive data visualization gives DHL unprecedented insight to evaluate and act on everything that occurs in its warehouses. Read more.

13:00

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13:00–13:30 Tuesday, 22/05/2018
Data-driven business management
Location: Capital Suite 2/3 Level: Non-technical
Viola Melis (Typeform)
Typeform's data team is transitioning into a less centralized structure and embedding its data scientists inside product and business teams. Viola Melis details initiatives the team developed to ensure alignment and cohesion, discusses the journey through this challenging process, and shares lessons learned, best practices, and new processes that were established. Read more.

13:30

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13:30–14:00 Tuesday, 22/05/2018
Data-driven business management
Location: Capital Suite 2/3 Level: Non-technical
Allison Nau (Cox Automotive UK)
Average rating: *****
(5.00, 1 rating)
Two and a half years into its data journey, Cox Automotive has realized significant benefits by harnessing the power of data, both internally and in the development of data solutions to improve decision making within the automotive industry. Allison Nau discusses Cox's transformation into a data-driven organization, from mobilizing data for production to making changes to its corporate culture. Read more.

14:00

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14:00–14:30 Tuesday, 22/05/2018
Data-driven business management, Law, ethics, and governance
Location: Capital Suite 2/3 Level: Non-technical
Dave Fitch (The Data Lab)
Scotland has some of the world's best cancer data and some of the world's best data scientists and data companies. But what Scotland doesn't have is very good cancer outcomes. So how can we use data, our skills and our networks to deliver better cancer treatments and results? Dave Fitch shares lessons learned from two years delivering Scotland's Cancer Innovation Challenge. Read more.

15:00

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15:00–15:30 Tuesday, 22/05/2018
Data-driven business management
Location: Capital Suite 2/3 Level: Beginner
Maria Assunta Palmieri (Data Reply )
Do you want to know if the products you make and sell are efficient or if and when they will break down? Maria Assunta Palmieri proves that real-time monitoring has the answers as she shares a case study from the automotive industry that outlines best practices for managing and analyzing telematic data in order to discover all the achievable benefits. Read more.

15:30

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15:30–16:00 Tuesday, 22/05/2018
Niranjan Thomas (Dow Jones)
Average rating: *****
(5.00, 1 rating)
What do hurricanes, the Zika virus, and modern slavery have in common? Obviously, they’re serious global issues that cause human suffering, death, and destruction, but they’re also challenges the Strata community can seek to better understand in order to minimize their negative consequences—all with news-derived data. Niranjan Thomas issues a call to think creatively about new datasets. Read more.

16:00

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16:00–16:30 Tuesday, 22/05/2018
Data science and machine learning, Data-driven business management
Location: Capital Suite 2/3 Level: Intermediate
Erik Elgersma (FrieslandCampina)
Erik Elgersma details how a global food company uses multiple sources of monthly actualized data and smart algorithms to predict future commodity prices as input for its commercial policies. Read more.