Discover how the industrial revolution in data will affect your business. Learn about the new opportunities and challenges that big data and analytics provide, hear from successful data-driven businesses, and plan for the impact on your organization’s infrastructure and personnel.
Register now for the Executive Summit, or the Executive Summit plus the full O’Reilly Strata Conference (February 2-3).
9:00am – 9:45am
Introduction: Mining the Tar Sands of Big Data
Much of the world’s most valuable information is trapped in digital sand, siloed in servers scattered around the globe. In this talk I’ll discuss the promise of big data, which will come to pass in the coming decade, driven by advances in three principle areas: sensor networks, cloud computing, and machine learning.
9:45am – 10:30am
The Data-driven Business and Other Lessons from History
With Big Data comes Big Promises. Mine the blogsphere and discover the secret of eternal wealth. Feast on the Twitter feeds for the wisdom of the ages. We have visited this land in the past, naming it data warehousing and business intelligence. Will we learn the lessons of history? Can we do it differently today? Let’s take this present moment to review the past and imagine the future.
10:30am – 11:00am Break
11:00am – 11:45am
Building the Data-Driven Organization
There’s never just one way to do things, but for big bets like Big Data, it helps to learn about paths that others have taken. In this presentation, Bob Page, VP Data & Analytics Platforms for eBay, gives a “behinds the scenes” look at the systems and procedures in that power decision-making at the world’s largest online marketplace.
11:45am – 12:30pm
Determine the Right Analytic Database: A Survey of Data Technologies and Products
There has been an explosion in database technology designed to handle big data and deep analytics from both established vendors and startups. This session will provide a quick tour of the primary technology innovations and systems powering the analytic database landscape—from data warehousing appliances and columnar databases to massively parallel processing and in-memory technology. The goal is to help you understand the strengths and limitations of these alternatives and how they are evolving so you can select technology that is best suited to your organization and needs.
12:30pm – 1:30pm Lunch
1:30pm – 2:15pm
Retail: Lessons Learned from the First Data-Driven Business and Future Directions
Retailers and their suppliers have always operated on the cutting edge of data science. In fact, this industry is responsible for many of the technology advances that have contributed to the exponential growth of data, analytics, and related technology. This session covers the history of data science in retail, current trends, and explores future directions in the “big” data age.
2:15pm – 3:00pm
Barnes & Noble: Big Data Analytics Across “Bricks” and “Clicks” for Driving Competitive Advantage
This presentation will focus on how businesses can maximize big data analytics for deeper customer insights.
3:00pm – 3:30pm Break
3:30pm – 4:15pm
Analytics and Witch-Doctoring: Why Executives Succumb to the Black Box Mentality
This presentation lays bare the dark underbelly of analytics in the enterprise. Drawing on darkly humorous experiences, the speaker will explain why executives treat analytics as an occult phenomenon. The talk will give executives the mental tools to separate strategically valuable analytics projects from fishing expeditions, and provide litmus tests to keep the witch doctors honest.
4:15pm – 5:00pm
With Big Data Comes Big Responsibility
Big Data and predictive analytics can deliver incredible insight that can be used for purposes both good, and not so good. Drawing on real world examples, this session will examine the fine line between competitive advantage and bad behavior, and implications to a complex cast of stakeholders. Let’s begin a dialog on ethics now instead of waiting for our first major crisis.
7:30pm – 8:30pm
For information on exhibition and sponsorship opportunities at the conference, contact Susan Young at firstname.lastname@example.org
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