Business Analytics Webinar Series
The NYU Stern Business Analytics Webinar Series enables prospective students to engage in a dialogue with thought leaders in the field of business analytics.All webinars are complimentary and open to the public.
Mobile Analytics: Apps, Advertising and Commerce in the New 'Mobile' Economy Presented by Professor Anindya Ghose, Associate Professor of Information, Operations and Management Sciences and Co-Director of the NYU Stern Center for Business AnalyticsTuesday February 26, 2013 at 11:00am EST Join us for this webinar |
The dramatic growth in mobile activities has led to a corresponding torrent of granular data that capture a wide variety of user behaviors. Whether mobile users are communicating with others, posting or consuming digital content, alerting others to their location, purchasing goods or services, or reacting to ads, they are creating a “digital trail.” Such digital trace data on human interaction and activity lends itself to customer and big data analytics.
Anindya Ghose will discuss how to measure and quantify the value created from the use of apps, advertising, and commerce on mobile devices in the course of meeting some strategic goals and tactical issues. A key goal is to gain a better understanding of the behavior of mobile users using big data analytics that combines statistical modeling with randomized experiments "in the wild." This webinar will also focus on the differences between web and mobile analytics. Most people make the mistake of assuming mobile analytics is similar to web analytics, while they’re actually poles apart. If we care about measurement using data, we have to care about how data was generated in the first place before doing any predictive, experimental or econometric analyses.
Key Takeaways:
1. Understanding how the fragmented nature of the mobile ecosystem makes mobile analytics very different from web analytics.
2. Understanding audience behavior and advertising effectiveness on mobile devices.
Business Analytics Made Easy: Data to Innovation Presented by Professor Harry Chernoff, Academic Director of the MS in Business Analytics ProgramThursday December 6 at 11:00am EST Watch the recorded webinar at IIBA.org |
This session introduces you to the origins of Business Analytics. Specifically, we focus on why and how Business Analytics guides effective decision-making and strategy formation in organizations. Business analytics has existed for decades. Why is it exploding today? Why has it gained such popularity in the press and business world? The answer lies in the intersection of Business Analytics and Big Data. We define these terms and explain why they rank today as treasured assets for top management. We’ll examine the application of Business Analytics to three different industries: Retail, Gaming, and Healthcare. These examples highlight the innovative decisions and strategies that result from Big Data analysis.
From individual decision makers to entire organizations, we discuss the changing culture needed to assure the growth of innovative thinking.
We will address salient topics in Business Analytics including:
1. Why is Business Analytics so popular today?
2. How can organizations become an environment for innovative thinking?
3. What are the social risks inherent in utilizing Big Data?
Key Takeaways:
- Big Data presents enormous opportunity for business. Volume, velocity, and variety define the challenges of Big Data
- Decision-making is data-driven. Evidence drives decisions, not intuition.
- Using personal customer information can have negative consequences. Don’t spy. Respect people’s privacy.
