Behavioural Big Data (BBD) refers to very large and rich multidimensional data sets on human and social behaviours, actions, and interactions, which have become available to companies, governments, and researchers. However, behavioural researchers using big data face not only methodological and technical challenges but also ethical and moral dilemmas, says Professor Galit Shmueli.
Professor Galit Shmueli is Tsing Hua Distinguished Professor …Read More »
Professor Galit Shmueli discusses a machine learning algorithm called ‘tree-based approach’ that can be deployed on large and small data sets to overcome problems of self-selection. The tree-based approach can be effectively used to adjust for observable self-selection bias in intervention studies in management research.
Galit Shmueli is Tsing Hua Distinguished Professor at the Institute of Service Science, and Director of …Read More »
In this article, Professor Galit Shmuéli explores the salient characteristics of predictive analytics in the context of retail, debunks certain myths and suggests untapped regionally-specific new possibilities.
Where Business Meets Statistics
Technological advancements and the availability and accessibility of data within companies are facilitating fact-based and insightful decision-making. With closer connections among business experts, statisticians and data engineers, advanced analytics can be implemented …Read More »
Professor Ram Gopal, a visiting faculty at the ISB, talks to Galit Shmueli, tenured Associate Professor of Statistics and Information Systems and SRITNE Chaired Professor of Data Analytics.
There is some confusion regarding the terminologies: data analytics, data mining, business analytics and business intelligence. Can you clarify if they are synonyms or if they have different meanings?
When I was growing up, …Read More »