Schedule: Business & Industry sessions

Despite the hype, Big Data has yet to live up to its potential. Why? Because we’ve spent too much time thinking about the data itself and not enough time considering which business decisions can be improved through the intelligent application of data. Panjiva CEO Josh Green will discuss an alternative approach: starting with a challenging business problem and then tracking down relevant data. Read more.

There is a revolution at hand centering on this groundswell of data and it will change how we execute our businesses through greater efficiencies, new revenue discovery and even enable innovation. It is the revolution of Big Data. Management Strategies for Big Data will explain this new wave of technology and provide a roadmap for businesses to take advantage of this growing trend. Read more.

While enterprises see an opportunity to increase revenues and decrease costs by becoming a data-driven organization, it is not easy to decide where and how to begin. This session highlights some principles for success through examining two real-world big data case studies. Read more.

Leapfrog enabled their learning toys and set up a system to have millions of toy owners upload their play logs. This talk covers the business strategy and the technical implementation hurdles from perspective of the former Director of Data Services who implemented it. Read more.

Learn about how data is used for a fashion retailer that is on a rapid growth path. At ModCloth we don't believe in dictating fashion trends to our customer—we are inverting the pyramid and democratizing fashion. Buying patterns and user interactions are leveraged to help us understand how we can meet our customers' desires Read more.

Moneyball is to marketing science as CSI is to forensic science. The expectations are high and marketers are shouting "where's the insight?" and "ENHANCE!". Data is long and marketing scientists are short. We can only scale through technology. This is the story of how a developer and two marketing scientists became data scientists in crossing that gap. Read more.

A high level overview of Microsoft IT's BI strategy and it's various applications, focusing on Self Service BI, Scorecards and Dashboards, Data Visualizations, and Leadership Decision making through robust BI tools. Read more.

By charging interchange fees for retailers and account fees for customers banks have taken a ‘combative’ approach for revenue generation. However, technologies are emerging that enable financial institutions to leverage big data drawn from the transaction data stream to provide new, pro-consumer revenue streams. Read more.

What does it really take to build a data product? Recall and relevancy are only parts of the challenge. In fact, an entire new approach is required to build consistently great data products. Read more.

This talk uses the OODA Loop concept (Observe, Orient, Decide, Act) as a framework to categorize Big Data use cases and data-driven services and the front-ends to those services. Rather than starting with the underlying technology or the data sources, the OODA loop starts with WHY the user needs information. It answers the question of when a black box beats an analytic tool, and vice versa. Read more.

One of the most significant challenges faced by individuals and organizations is how to discover and collaborate with data within and across their organizations, which often stays trapped in application and organizational silos. Read more.

Due to recent advancements in Big Data, cloud computing, and network maturity it's now possible to work with extremely large weather-related data sets. The Climate Corporation CTO Siraj Khaliq discusses how to apply big data principles to the real-world challenge of protecting people and businesses from the financial impact of weather. Read more.

The ultimate utility of Big Data is transforming it into Big Insights. Charts, graphs, and tables of aggregated data are useful but still require interpretation by the end user. With advances in linguistic algorithms and data processing it is now possible to derive meaningful insights from data and present them in digestible narrative content. Read more.

Measuring productivity remains a notoriously difficult problem. We will show how real-time collaboration data are being leveraged to measure, model and forecast organizational productivity and performance in the innovation teams at Boeing and in 3 Formula One teams. On the back of these forecasts, we will show how investment yields were improved by 15% and productivity raised by nearly 20%. Read more.