Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Data Case Studies

9:00am - 5:00pm, Tuesday, September 11, 2018

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, 09/11/2018


9:00am–9:05am Tuesday, 09/11/2018
Location: 1E 10
Paco Nathan (
Program chair Alistair Croll welcomes you to the Data Case Studies tutorial. Read more.


9:05am–9:30am Tuesday, 09/11/2018
Location: 1E 10 Level: Advanced
Katharina Warzel (EveryMundo)
Average rating: *****
(5.00, 1 rating)
Airlines want to know what happens after a user interacts with their websites. Do they convert? Do they close the browser and come back later? Airlines traditionally have depended on analytics tools to prove value. Katharina Warzel explores how to implement a client-independent end-to-end tracking system. Read more.


9:30am–10:00am Tuesday, 09/11/2018
Location: 1E 10 Level: Non-technical
Secondary topics:  Health and Medicine
Mike Berger (Mount Sinai Health System)
Average rating: ****.
(4.00, 1 rating)
Mount Sinai Health has moved up the analytics maturity chart to deliver business value in new risk models around population health. Mike Berger explains how Mount Sinai designed a team, built a data factory, and generates the analytics to drive decision-centricity and explores examples of mixing Tableau, SQL, Hive, APIs, Python, and R into a cohesive ecosystem supported by a data factory. Read more.


10:00am–10:30am Tuesday, 09/11/2018
Location: 1E 10 Level: Non-technical
Secondary topics:  Machine Learning in the enterprise
Sam Helmich (Deere & Company)
Sam Helmich explains how data science can benefit from borrowing Agile principles. These benefits are compounded by structuring the team roles in such a manner to enable success without relying on employing full stack expert “unicorns.” Read more.


10:30am–11:00am Tuesday, 09/11/2018
Location: 1A & 1E Halls
Morning Break (30m)


11:00am–11:30am Tuesday, 09/11/2018
Location: 1E 10 Level: Beginner
Stephanie Fischer (datanizing GmbH)
Average rating: *****
(5.00, 1 rating)
Whether customer emails, product reviews, company wikis, or support communities, user-generated content (UGC) as a form of unstructured text is everywhere, and it’s growing exponentially. Stephanie Fischer explains how to discover meaningful insights from the UGC of a famous New York discussion forum. Read more.


11:30am–12:00pm Tuesday, 09/11/2018
Location: 1E 10 Level: Non-technical
Secondary topics:  Ethics and Privacy
Maryam Jahanshahi (TapRecruit)
Average rating: *****
(5.00, 1 rating)
Hiring teams have long relied on intuition and experience to scout talent. Increased data and data-science techniques give us a chance to test common recruiting wisdom. Drawing on results from her recent behavioral experiments and analyses of over 10 million jobs and their outcomes, Maryam Jahanshahi illustrates how often innocuous recruiting decisions have dramatic impacts on hiring outcomes. Read more.


12:00pm–12:30pm Tuesday, 09/11/2018
Location: 1E 10 Level: Beginner
Greg Quist (SmartCover Systems)
Sewers can talk. Water levels in sewers have a signature, analogous to a human EKG. Greg Quist explains how this signature can be analyzed in real time, using pattern recognition techniques, revealing distressed pipelines and allowing users of this technology to take appropriate steps for maintenance and repair. Read more.


12:30pm–1:30pm Tuesday, 09/11/2018
Location: 3A
Lunch (1h)


1:30pm–2:00pm Tuesday, 09/11/2018
Location: 1E 10 Level: Intermediate
Ian Brooks (Cloudera)
The power of big data continues to modernize traditional industries, including healthcare. Ian Brooks explains how to implement intelligent preventive screening for conditions by applying electronic medical records (EMR) to predictive analytics via supervised machine learning techniques. Read more.


2:00pm–2:30pm Tuesday, 09/11/2018
Location: 1E 10 Level: Non-technical
Secondary topics:  Ethics and Privacy
Ann Nguyen (Whole Whale)
The for-profit system lacks a conscious and empathy thinking. Ann Nguyen takes a look at the good, the bad, and the ugly of data culture, explores successes in the nonprofit sector, and shows how all companies can adapt a “for-benefit” mindset, merging their data culture with an empathy economy and using data to create and share value among their core audiences. Read more.


2:30pm–3:00pm Tuesday, 09/11/2018
Location: 1E 10 Level: Beginner
Secondary topics:  Transportation and Logistics
Steve Otto (Navistar)
Navistar built an IoT-enabled remote diagnostics platform, OnCommand Connection, to bring together data from 375,000+ vehicles in real time, in order to drive predictive analytics. This service is now being offered to fleet owners, who can monitor the health and performance of their trucks from smartphones or tablets. Join Steven Otto to learn more about Navistar's IoT and data journey. Read more.


3:00pm–3:30pm Tuesday, 09/11/2018
Location: 1A & 1E Halls
Afternoon Break (30m)


3:30pm–4:00pm Tuesday, 09/11/2018
Location: 1E 10 Level: Non-technical
Secondary topics:  Data Platforms
Jennifer Lim (Cerner)
The use of data throughout Cerner had taxed the company's legacy operational data store, data warehouse, and enterprise reporting pipeline to the point where it would no longer scale to meet needs. Jennifer Lim explains how Cerner modernized its corporate data platform with the use of a hybrid cloud architecture. Read more.


4:00pm–4:30pm Tuesday, 09/11/2018
Location: 1E 10 Level: Non-technical
S Anand (Gramener)
Answering simple questions about India's geography can be a nightmare. Official shape files are not publicly available. Worse, each ministry uses their own maps. But an active group of volunteers are crafting open maps. Anand S explains what it takes for a grass-roots initiative to transform a country's data infrastructure. Read more.


4:30pm–5:00pm Tuesday, 09/11/2018
Location: 1E 10