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 October 26, 12:00 – 2:00 pm
Business Intelligence and Predictive Analytics in the Healthcare EnvironmentThe healthcare industry is fortunate to have extraordinary database resources, originally intended for social planning purposes, which can now be deployed for Business Intelligence and Population Health purposes. However the complexity and quality of these data repositories must be thoroughly understood and effectively managed to garner the information and intelligence so desperately needed by the evolving regulatory, economic and competitive environment. While privacy and confidentiality issues abound in this data environment (HIPAA), the opportunity to understand Community Based Needs and the trends towards a new economic model require all of the expertise of the Data Science field. The infrastructure and quality of massive repositories of structured and unstructured data continue to explode along with the constant evolution of the classifications and codes employed. The capacity to mine the data is equally as dynamic as the tools to evaluate trends and seasonal patterns. Additionally the expertise is evolving to provide longitudinal linkages to understand the progression of conditions and diseases as a part of clinical decision support and the understanding of 'Risk'. We will explore these issues in the context of an industry in fundamental transformation.
Wednesday, January 18, 12:00 – 2:00 pm
Head of Data and Analytics Solutions, Honeywell
From the Internet of Things to the Analytics of Everything
The 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.
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)