Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Data Case Studies

9:00am- 5:00pm, Tuesday, March 14, 2017
Strata Business Summit
Location: LL20A

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, 03/14/2017


7:30am–8:15am Tuesday, 03/14/2017
Location: LL Foyer and Executive Concourse
Coffee break (7:30am - 9am) (45m)


9:00am–9:30am Tuesday, 03/14/2017
Location: LL20 A Level: Non-technical
Jim Harrold (NationBuilder)
Average rating: ***..
(3.75, 4 ratings)
Modern political campaigns at the local, state, and national level cannot be won without working with voter data. This has given birth to a wave of technology that has both influenced and insinuated itself into the fabric of modern politics. Peeking behind the curtain, Jim Harrold explores how this system utilizes data to help campaign strategists win elections. Read more.


9:30am–10:00am Tuesday, 03/14/2017
Location: LL20 A
Robin Li (Tapjoy), Yohan Chin (Tapjoy)
Average rating: ***..
(3.86, 7 ratings)
To ensure that users have the best application experience, Tapjoy has architected a data science service to handle ad-requests optimization and personalization in real time. Robin Li shares the critical considerations for building such a Lambda architecture and details the methods Tapjoy used to evaluate and implement its real-time architecture. Read more.


10:00am–10:30am Tuesday, 03/14/2017
DCS, Strata Business Summit
Location: LL20 A Level: Intermediate
Barbara Eckman (Comcast)
Average rating: ***..
(3.80, 5 ratings)
Big data famously enables anyone to contribute to the enterprise data store. Integrating previously siloed data can uncover powerful insights for the business. But without data governance, inefficiencies and incorrect business decisions may result. Barbara Eckman explains how Comcast is using Apache Avro for enterprise data governance, the challenges faced, and methods to address these challenges. Read more.


10:30am–11:00am Tuesday, 03/14/2017
Location: Executive Concourse
Morning break sponsored by Google (30m)


11:00am–11:30am Tuesday, 03/14/2017
DCS, Strata Business Summit
Location: LL20 A Level: Intermediate
Dirk Jungnickel (Emirates Integrated Telecommunications Company (du))
Average rating: ****.
(4.82, 11 ratings)
Dirk Jungnickel explains how Dubai-based telco leader du leverages big data to create smart cities and enable location-based data monetization, covering business objectives and outcomes and addressing technical and analytical challenges. Read more.


11:30am–12:00pm Tuesday, 03/14/2017
DCS, Law, ethics, governance, Strata Business Summit
Location: LL20 A Level: Intermediate
Secondary topics:  Healthcare
Kishore Papineni (Astellas Pharma), Paul Barth (Podium Data)
Average rating: **...
(2.50, 6 ratings)
Launched in late 2015, Astellas's enterprise data lake project is taking the company on a data governance journey. Kishore Papineni offers an overview of the project, providing insights into some of the business pain points and key drivers, how it has led to organizational change, and the best practices associated with Astellas's new data governance process. Read more.


12:00pm–12:30pm Tuesday, 03/14/2017
DCS, Strata Business Summit
Location: LL20 A Level: Non-technical
Secondary topics:  Manufacturing
Carlo Torniai (Pirelli Tyre)
Average rating: ****.
(4.00, 8 ratings)
Building a cross-functional data science team at a large, multinational manufacturing company presents a number of cultural, organizational, technical, and operational challenges. Carlo Torniai explains how Pirelli grew an organization that was able to deliver key insights in less than a year and shares advice for both new and established data science teams. Read more.


12:30pm–1:30pm Tuesday, 03/14/2017
Location: 230 A-C
Lunch (1h)


1:30pm–2:00pm Tuesday, 03/14/2017
DCS, Hadoop platform and applications, Strata Business Summit
Location: LL20 A Level: Non-technical
Secondary topics:  Data Platform, Financial services
Bryan Harrison (American Express)
When processing 24% of total global credit card transactions, data, risk, and security are top priorities for American Express. Bryan Harrison highlights the modern process, people, and architecture approach that has enabled Amex to scale BI on Hadoop and given instant access to real-time, granular data, as well as broad historical views to model, so Amex can stay ahead of fraud in the future. Read more.


2:00pm–2:30pm Tuesday, 03/14/2017
DCS, Strata Business Summit
Location: LL20 A Level: Intermediate
Chris Murphy (Zurich Insurance Group), Martin Lidl (Deloitte)
Average rating: ***..
(3.80, 5 ratings)
Chris Murphy explains how a major insurance company adopted Hadoop to leverage its data to underpin the new customer-centric ethos of the organization and how this has enabled a new approach to helping customers truly understand their financial portfolios, build a roadmap to meet their financial goals, identify opportunities, and help them secure their financial future. Read more.


2:30pm–3:00pm Tuesday, 03/14/2017
DCS, Strata Business Summit
Location: LL20 A
Maura Lynch (Pinterest)
Average rating: ***..
(3.50, 4 ratings)
New users are the most delicate for any service. Nailing their first experience with your product is essential to growing your user base. Maura Lynch offers an overview of Pinterest's hybrid-curation approach to creating compelling content streams for users when there is very little signal as to their preferences. Read more.


3:00pm–3:30pm Tuesday, 03/14/2017
Location: Executive Concourse
Afternoon break (30m)


3:30pm–4:00pm Tuesday, 03/14/2017
DCS, Strata Business Summit
Location: LL20 A Level: Intermediate
Secondary topics:  Deep learning
Nixon Patel (Kovid Group)
Average rating: *....
(1.40, 5 ratings)
Being able to monitor the emotional state of police officers over a period of time would enable the officers’ supervisors to intervene if a given officer is subject to repeated emotional stress. Nixon Patel presents deep learning and AI models that capture and analyze the emotional state of law enforcement officers over a period of time. Read more.


4:00pm–4:30pm Tuesday, 03/14/2017
DCS, Strata Business Summit
Location: LL20 A Level: Beginner
Bas Geerdink (Aizonic)
Average rating: *****
(5.00, 2 ratings)
ING is a data-driven enterprise that is heavily investing in big data, analytics, and streaming processing. Bas Geerdink offers an overview of ING's streaming analytics solution for providing actionable insights to customers, built with a combination of open source technologies, including Kafka, Flink, and Cassandra. Read more.


4:30pm–5:00pm Tuesday, 03/14/2017
Location: LL20 A
Lana Novikova (Heartbeat AI Technologies)
Average rating: *****
(5.00, 2 ratings)
What if we could rely on text data to be the “secret sauce” for accurate prediction of future events that are based on human decisions, such as elections, consumer behavior, public opinion, and social movements. Lana Novikova shares the results of Heartbeat Ai's experiment to see if it could build a predictive algorithm for national elections using unstructured text data from surveys. Read more.