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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.

Network Analytics: Deriving Value from Social Data

Arun Sundararajan
Presented by Professor Arun Sundararajan
Professor of Information, Operations and Management Sciences
NYU Stern School of Business
Watch the recorded webinar here.
Description:

Social media and mobile commerce create massive connected data sets that contain a wealth of business and social insights. In this webinar, Prof Sundararajan will translate cutting-edge network science research into actionable analytics strategies for dealing with big data that is networked, text-intensive and unstructured, with applications from viral marketing, A/B testing and media planning.


Business Analytics Series: From Analysis to Decision to Strategy: Analytics & Change in Your Organization

JP Eggers
Presented by Professor JP Eggers
Assistant Professor of Management and Organizations
NYU Stern School of Business

Watch the recorded webinar here.
Description:

We know that business analytics is an enormous priority for many organizations — countless surveys and focus groups of CEOs and CIOs have made this clear. Forecasts from experts also state that there is money to be made, both by using analytics to make key decisions, and by possessing (as an organization or an individual) the skills that will make business analytics more effective. And academic studies have linked business analytics to firm performance, suggesting that business analytics will help firms.

But flipping the switch to become an analytics-driven organization is not easy. Many managers and executives do not understand what analysts actually do, and cannot make sense of the recommendations that business analytics produces. Sometimes they are afraid for their jobs, sometimes they are skeptical of “lies, damn lies, and statistics,” and sometimes the structures and processes in place within organizations prevent analytics from playing a key role, irrespective of what has been said by managers.

This webinar focuses on two primary issues related to the attempts to move from analysis to strategy. The first challenge is getting the organization to buy into your data-driven insights. Here, the important keys are two recognize that you are an expert but your audience is not, and to analyze the stakeholders and decision making processes within your organization the same way that you analyze your data. The second challenge is building an analytics-focused organization, or at least creating processes and structures that are friendly to analytics-led decision making. Here, the important keys are to think about the relevant incentives (formal and otherwise) for all key players in the decision making process, and to think about the structure of the underlying process itself as the process of decision making affects the outcome. The goal of this webinar is to help you think about how to move from analysis to decisions, and from decisions to strategy within your organization.

Archived Webinars

Mobile Analytics: Apps, Advertising and Commerce in the New 'Mobile' Economy

Mobile Analytics: Apps, Advertising and Commerce in the New 'Mobile' Economy

Anindya GhoseProfessor Anindya Ghose
Associate Professor of Information, Operations and Management Sciences and Co-Director of the NYU Stern Center for Business Analytics

Watch the recorded webinar here.
 

Description:

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

Business Analytics Made Easy: Data to Innovation

Harry Chernoff 150wPresented by Professor Harry Chernoff
Academic Director, MS in Business Analytics Program

Watch the recorded webinar here.

Description:

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.