Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA

Schedule: Data-Driven Business Day sessions

Wednesday, February 18

9:00am–5:00pm Wednesday, 02/18/2015
Location: LL21 C/D
Alistair Croll (Solve For Interesting), Cait O'Riordan (Financial Times), Lutz Finger (LinkedIn), Kuang Chen (Captricity), Emi Nomura (Jawbone), AJ Loiacono (Truveris), Rosie Atkins (Groupon), Anne Johnson (Credit Suisse), Jerry Overton (DXC), Ann Johnson (Interana), Mark Madsen (Teradata), Leah Hunter (Tech Journalist), Ellen Friedman (MapR Technologies), India Swearingen (United Way of the Bay Area), Satyam Priyadarshy (Halliburton), Joerg Blumtritt (Datarella)
Average rating: ***..
(3.50, 18 ratings)
All-Day: For business strategists, marketers, product managers, and entrepreneurs, Data-Driven Business looks at how to use data to make better business decisions faster. Packed with case studies, panels, and eye-opening presentations, this fast-paced day focuses on how to solve today's thorniest business problems with Big Data. It's the missing MBA for a data-driven, always-on business world. Read more.
9:10am–9:30am Wednesday, 02/18/2015
Location: LL20 A.
Mark Madsen (Teradata)
Average rating: ***..
(3.57, 7 ratings)
Storytelling is not about raising someone’s IQ, it’s about raising their blood pressure. Stories engage emotions rather than intellect, making “storytelling with data” a poor metaphor for data visualization when our goal is to communicate clearly. Read more.
9:30am–9:50am Wednesday, 02/18/2015
Location: LL20 A.
Ellen Friedman (MapR Technologies)
Average rating: ***..
(3.29, 7 ratings)
Big data stories reveal fundamental concepts about emerging technologies, their potential impact on society and decisions that drive successful projects. Using real world examples, this talk shows key insights that inform critical choices about new technologies, including time series database tools and scalable machine learning algorithms, used to address important business and research problems. Read more.
9:50am–10:10am Wednesday, 02/18/2015
Location: LL20 A.
Average rating: ****.
(4.00, 8 ratings)
Entirely new industries are forming as the result of business model innovations. But discovering these disruptive ideas is, still, largely a matter of trial and error. We need faster, more effective ways of testing out new business model designs. Read more.
10:10am–10:30am Wednesday, 02/18/2015
Location: LL20 A.
Ann Johnson (Interana)
Average rating: ***..
(3.14, 7 ratings)
People want data, they really do. Given the choice between knowing what's going on and not knowing, almost anyone will choose knowing. People will not, however, choose things that take a long time and are hard to understand. Read more.
11:00am–11:20am Wednesday, 02/18/2015
Location: LL20 A.
Anne Johnson (Credit Suisse)
Average rating: ***..
(3.08, 12 ratings)
As the Global Head of Investment Risk, Anne Johnson of Credit Suisse takes data quality very seriously. A single misplaced number can put billions of dollars of client assets’ at risk. Find out some of the challenges that Anne and her team face in governing the integrity of their data and the new ways they are thinking about data integration and quality. Read more.
11:20am–11:50am Wednesday, 02/18/2015
Location: LL20 A.
Moderated by:
Arnab Chakraborty (Accenture)
Panelists:
Alexander Prinz (Lufthansa Airlines), Reena Tiwari (Cisco Systems Inc.)
Average rating: **...
(2.33, 6 ratings)
This panel discussion will focus on how organizations can find value, equity and business opportunities in their data supply chain. The modern enterprise data supply chain allows organizations to move, manage and mobilize an ever-increasing amount of data across the organization for consumption by people and things. Read more.
11:50am–12:10pm Wednesday, 02/18/2015
Location: LL20 A.
Leah Hunter (Tech Journalist)
Average rating: **...
(2.86, 7 ratings)
People and startups altering the fabric of things through hardware, data science, and entrepreneurial vision. The shape and business of IoT is shifting. Learn about key startups making technological advances and surprising intellectual leaps. We aren't yet indistinguishable from magic. But these people are getting us there. Read more.
12:10pm–12:30pm Wednesday, 02/18/2015
Location: LL20 A.
Lutz Finger (LinkedIn)
Average rating: ****.
(4.12, 8 ratings)
Data is changing our world. Predictions using massive data not only have improved many products. At the same time, they have, in some industries, disrupted business models and created new ones. What does an organization need to do to generate a new competitive advantage out of data? Read more.
1:30pm–1:50pm Wednesday, 02/18/2015
Location: LL20 A.
Satyam Priyadarshy (Halliburton)
Average rating: ***..
(3.56, 9 ratings)
Upstream Oil and Gas Industry collects more data and most verticals. The emergence of digital oil fields, the 4D seismic studies, the sensor networks, etc will increase the ability to get ever relevant data. However, there remains many expensive challenges during the drilling operations. Big Data Driven approaches for holistic digital oil field are being helpful and the way for the future. Read more.
1:50pm–2:10pm Wednesday, 02/18/2015
Location: LL20 A.
India Swearingen (United Way of the Bay Area)
Average rating: ***..
(3.62, 8 ratings)
Social service organizations have a tough job when it comes to using data to drive social impact. With “world saving” goals and large scale impact, it's crucial these organizations leverage a variety of data streams and do more with less. But, pulling multiple data streams and leveraging partners can be a tricky one, this session walks through some ins-and-outs using United Way as one example. Read more.
2:10pm–2:30pm Wednesday, 02/18/2015
Location: LL20 A.
Joerg Blumtritt (Datarella)
Average rating: ****.
(4.67, 9 ratings)
Each smartphone generates huge heaps of data - up to hundreds of megabytes per day. Apart from location, all sorts of information on behavior and environmental conditions are seamlessly collected in the backgroud of our devices. We will show how to harvest the data and how to tell the story of our everyday lives from the billions of data points that pile up continuously. Read more.
2:40pm–3:00pm Wednesday, 02/18/2015
Location: LL20 A.
Rosie Atkins (Groupon)
Average rating: ****.
(4.73, 11 ratings)
30% of restaurants fail in the first year, so why would anyone go into the business? Most restaurateurs will tell you that it’s an act of love. They love hospitality; they love sharing great food; they love creating a place where people come together to share something special. Almost none of them tell you you that they go into business based on data. Read more.
3:30pm–3:45pm Wednesday, 02/18/2015
Location: LL20 A.
AJ Loiacono (Truveris)
Average rating: ****.
(4.75, 4 ratings)
With drug inflation far outpacing inflation for the rest of the economy, consumers, companies, and government entities are struggling to understand one of the primary components of health care costs. Drug inflation has always been difficult to measure, since the information is published infrequently, often annually, with a high degree of variance between the reporting organizations. Read more.
3:45pm–4:05pm Wednesday, 02/18/2015
Location: LL20 A.
Cait O'Riordan (Financial Times)
Average rating: ****.
(4.83, 6 ratings)
As the number of ways to discover and listen to music increases, Shazam's data becomes even more powerful in predicting music tastes/fashions. Labels/artists/radio stations increasingly look to Shazam to predict what the next big hit or summer smash will be. Shazam also uses its usage data to create new product opportunities. Read more.
4:25pm–4:45pm Wednesday, 02/18/2015
Location: LL20 A.
Emi Nomura (Jawbone)
Average rating: ***..
(3.00, 3 ratings)
Using case studies from the Jawbone UP activity tracker, we’ll discuss why data products are key to shaping the future of wearables as well as their implications to business and public health. Read more.
4:45pm–5:00pm Wednesday, 02/18/2015
Location: LL20 A.
Kuang Chen (Captricity)
Average rating: ****.
(4.50, 2 ratings)
Enterprise data grows over 65% a year. Last year, non-productive information work—reformatting, data entry, and so on—consumed more than US$1.5 Trillion. Yet companies continue to pour billions into human-driven paper-to-digital processes. Read more.