Wednesday, January 18, 12:00 – 2:00 pm
From the Internet of Things to the Analytics of EverythingThe Internet of Things is one of today's hottest topics, from connected buildings to smart cities to intelligent avionics. According to McKinsey, we can expect between 50 billion and 100 billion connected devices by 2020. So what’s happening to all the data those devices are generating – and how can be it turned into meaningful advantages in daily lives and financial opportunity for all of us? How do you turn your data into usable insight? How do you begin to maximize impact while creating a fast time to market plan? And how can today’s data and analytics practitioners pivot to become proactive, connected drivers of data revenue? Join data leader Sakti Kunz to explore learnings, opportunities and experience from her 20+ years as a data and analytics executive: How to monetize data by turning them into meaningful insights? How to connect to the customer needs and value?• What will capabilities will it take to balance between time to market and big payoffs? This talk is relevant to business, IT and data science leaders alike - anyone who wants to explore the vast opportunities presented by industrial data and analytics.
Wednesday December 14, 12:00 – 2:00 pm
Bridging the Gap: Connecting online behaviors to offline purchasesDespite many advances, digital advertising has been struggling to address the most basic advertising question: can we measure and draw conclusions about the effectiveness of advertising on consumer behavior? Being fraught with challenges like questionable viewability, attribution and fraud in a pure online setting, consumer packaged Goods (CPG) companies have additional challenges gauging advertising effectiveness: Purchases do not happen online and linking third parties scanner data from grocery stores introduces further scale limitations and match uncertainty. Here we present a case study showing that it is possible to seamlessly digitize, access and integrate real world physical behaviors into a large-scale digital experiment. We show that using using causal analytical methods combined with machine learning, sufficient statistical power can be achieved to measure significant and fine-grained effects. The resulting insights cannot only be used to assess the efficacy and economic viability of running display advertising campaigns, but also to optimize creatives for each prospective customer -- allowing marketers to not only to find the most promising prospects, but also to match them to the right creative.
Wednesday November 16, 12:00 – 2:00 pm
A Framework for Checking and Tuning Up Data Graphics: Lessons from 10+ Years of BloggingOver 10 years ago, I started the Junk Charts blog, the first website dedicated to data visualization criticism. The blog is widely regarded as a key resource for practitioners in the field, containing discussion of many hundreds of charts and graphics that have appeared in the popular press. I will discuss the key components of the Trifecta Checkup, the general framework for assessing the strengths and weaknesses of dataviz products. The framework draws connections between our emotional response to data visualization and the specific choices made by designers. I will demonstrate how to use the Trifecta framework to tune up your own charts. Finally, I offer some tips for those interested in starting a blog.
Wednesday, February 15, 12:00 – 2:00 pm
Director, Data Science and Analytics, The Weather Company (an IBM Business)
Lead Data Scientist for Aviation; The Weather Company (an IBM Business)
Weather and Advanced Operational Analytics in Aviation
The core operational challenge for airlines is the management and optimization of complex networks across the US and the globe. During Irregular Operations Periods (IROPs), weather forecasts and other critical operational data are needed to provide useful insights and drive action.During inclement weather conditions, hub airports' runways are the bottlenecks for flight operations. An airport's runway capacity (e.g., Airport Arrival Rate (AAR) and Airport Departure Rate (ADR)) is greatly affected by a mixed of weather factors, such as ceiling, visibility, wind speed and wind direction. Therefore, in this research, we focus on the prediction of AARs and ADRs at major hub airports for up to 12 hours out. Such analytics can support decision-makings at airlines in both strategic levels (e.g., fleet resource allocations) and tactical levels (e.g., flight planning)
For reservation assistance write to our gmail address or call John Waldes (212) 362-0302
INFORMS NY Metro is actively seeking speakers and topics. If you have a data analytic or business oriented topic please contact Jack Theurer or Leon Schwartz.
INFORMS NY is the New York City Chapter of the Institute for Operations Research and Management Science.
Part-time faculty position for Operations Management at Zicklin School of Business, Baruch College, City University of New York (CUNY)