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  • All HBS Web  (1,723)
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    • Research  (1,048)
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  • All HBS Web  (1,723)
    • People  (9)
    • News  (318)
    • Research  (1,048)
    • Events  (15)
    • Multimedia  (10)
  • Faculty Publications  (860)
← Page 46 of 1,723 Results →
  • 1999
  • Article

Commercial Use of UPC Scanner Data: Industry and Academic Perspectives

By: Randolph E. Bucklin and Sunil Gupta
Keywords: Analytics and Data Science; Information Technology; Perspective; Education; Supply and Industry
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Bucklin, Randolph E., and Sunil Gupta. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives." Marketing Science 18, no. 3 (1999): 247–273.
  • June 2018 (Revised January 2019)
  • Background Note

Visualizing Data & Effective Communication

By: Srikant M. Datar and Caitlin N. Bowler
This note explores three specific ways an analyst can use visualization. Section 1 considers visualization to explore data. Section 2 discusses visualization as a tool for developing a deeper understanding of trends and phenomena encoded in the data. Section 3... View Details
Keywords: Data Visualization; Graphical Guidelines; Charts; Analytics and Data Science; Communication
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Datar, Srikant M., and Caitlin N. Bowler. "Visualizing Data & Effective Communication." Harvard Business School Background Note 118-114, June 2018. (Revised January 2019.)
  • Profile

Amanda Pratt

were very analytical and process oriented," she says. But there's another side to Amanda, one that wants to explore options and is willing to embrace novelty. Instead of going to a traditional engineering school, she chose a new... View Details
Keywords: Healthcare/Biotech
  • 2023
  • Article

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
  • March 2023
  • Supplement

Allianz Türkiye (B): Adapting to a Changing World

By: John D. Macomber and Fares Khrais
Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
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Macomber, John D., and Fares Khrais. "Allianz Türkiye (B): Adapting to a Changing World." Harvard Business School Supplement 223-076, March 2023.
  • November–December 2015
  • Article

Active Postmarketing Drug Surveillance for Multiple Adverse Events

By: Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati and Stefanos A. Zenios
Postmarketing drug surveillance is the process of monitoring the adverse events of pharmaceutical or medical devices after they are approved by the appropriate regulatory authorities. Historically, such surveillance was based on voluntary reports by medical... View Details
Keywords: Drug Surveillance; Health Care; Stochastic Models; Queueing; Diffusion Approximation; Brownian Motion; Health Care and Treatment; Analytics and Data Science; Analysis
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Goh, Joel, Margrét V. Bjarnadóttir, Mohsen Bayati, and Stefanos A. Zenios. "Active Postmarketing Drug Surveillance for Multiple Adverse Events." Operations Research 63, no. 6 (November–December 2015): 1528–1546. (Finalist, 2012 INFORMS Health Applications Society Pierskalla Award.)
  • November 1998
  • Teaching Note

Working with your "Shadow Partner" TN

By: Richard L. Nolan
Teaching Note for (9-399-051). View Details
Keywords: Internet and the Web; Analytics and Data Science
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Nolan, Richard L. Working with your "Shadow Partner" TN. Harvard Business School Teaching Note 399-072, November 1998.
  • 09 Dec 2015
  • Research Event

How Do You Predict Demand and Set Prices For Products Never Sold Before?

explained that the world of business analytics includes descriptive analytics (analyzing what has happened), predictive analytics (analyzing data to figure out what will... View Details
Keywords: by Carmen Nobel; Retail; Apparel & Accessories
  • 22 Jan 2025
  • Blog Post

Career Risks and Professional Growth: Finding a Fulfilling Career with Paige Arnof-Fenn (MBA 1991)

marketing at Procter & Gamble confirmed I was on the right path, and I’ve never looked back. Making a career leap wasn’t without its struggles. I had to prove myself in a new field and convince recruiters that my analytical background... View Details
  • March 2022 (Revised January 2025)
  • Technical Note

Prediction & Machine Learning

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation; AI and Machine Learning
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Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
  • Other Article

How to Make Remote Monitoring Tech Part of Everyday Health Care

By: Samantha F. Sanders, Ariel Dora Stern and William J. Gordon
Remote patient monitoring is a subset of telehealth that involves the collection, transmission, evaluation, and communication of patient health data from electronic devices. These devices include wearable sensors, implanted equipment, and handheld instruments. During... View Details
Keywords: Health Care and Treatment; Information Technology; Analytics and Data Science; Technology Adoption
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Sanders, Samantha F., Ariel Dora Stern, and William J. Gordon. "How to Make Remote Monitoring Tech Part of Everyday Health Care." Harvard Business Review (website) (July 2, 2020).
  • April 1996 (Revised June 1996)
  • Background Note

Cleveland Turnaround (C), The: Facts and Figures

By: James E. Austin and Jaan Elias
Traces the Cleveland community's efforts to move the city from economic, social, and political crisis in the late 1970s into revitalization and progress in the 1980s and 1990s. Special attention is given to the role of business leaders and the public-private... View Details
Keywords: Leading Change; Analytics and Data Science; Economic Growth; Business and Community Relations; Cleveland
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Austin, James E., and Jaan Elias. "Cleveland Turnaround (C), The: Facts and Figures." Harvard Business School Background Note 796-153, April 1996. (Revised June 1996.)
  • 19 Nov 2014
  • News

The Power of Yes

change,” he summarizes.) Charged with overseeing a $100 million capital fund drive, Dichter wanted to explore the impulses behind people’s giving—or not giving. He wanted to dig deeper into what he saw as a conflict between the dominant, purely View Details
Keywords: Julia Hanna
  • November 2016 (Revised April 2017)
  • Case

Basecamp: Pricing

By: Frank Cespedes and Robb Fitzsimmons
A data analyst at Basecamp is evaluating the results of pricing research and its potential implications for the venture’s latest version of its project management software product. View Details
Keywords: Pricing; Entrepreneurial Management; Data Analysis; Marketing; Customer Acquisition; Customer Retention; Value Proposition; Sales Management; Product Management; Market Research; Life Time Value; Testing; Entrepreneurship; Analytics and Data Science; Customers; Value; Sales; Product Marketing; United States
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Cespedes, Frank, and Robb Fitzsimmons. "Basecamp: Pricing." Harvard Business School Case 817-067, November 2016. (Revised April 2017.)
  • December 1998
  • Case

Origins of National Income Accounting

By: David A. Moss and Joseph P Gownder
Set in the Great Depression, this case explores the origins of national income accounting in the United States. Highlights Senator La Follette's 1932 proposal for the federal government to begin collecting national income statistics. View Details
Keywords: Accounting; Financial Crisis; Analytics and Data Science; Mathematical Methods; United States
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Moss, David A., and Joseph P Gownder. "Origins of National Income Accounting." Harvard Business School Case 799-080, December 1998.
  • 01 Sep 2016
  • News

Research Brief: Cultivating Creativity through Competition

given to their competitors. Using analytical software that evaluates visual similarities between designs, Gross compared each submission with prior entries by the same designer, and related the similarity to the number and quality of... View Details
Keywords: Erin Peterson
  • 23 Oct 2019
  • News

Preparing Leaders to Leverage Artificial Intelligence

as Competing on Business Analytics and Big Data. In 2018, HBS led the development of the online Harvard Business Analytics Program. This certificate program—taught by business, engineering, and statistics... View Details
Keywords: Intellectual Ambition; Pathbreaking Research; Artificial Intelligence
  • Profile

Vivek Garg

development, their pricing, and how they might fit under government coverage," Vivek says. After graduation, Vivek hopes to apply similar analytical approaches to clinical care. "Whether it's in a hospital or physician group... View Details
  • Web

Real Estate Investing - Course Catalog

is a multidisciplinary industry that requires strong analytical rigor as wells as broad strategic thinking. Educational Objectives Students will learn about the interplay of capital structures, building characteristics, stakeholders, and... View Details
  • 26 Feb 2018
  • News

Teaching Farmers New Tricks of the Trade

Erik Malmstrom (MBA 2012) is general manager of crop marketing for the Farmers Business Network in California. In this video, he describes how the organization is helping transform the agriculture space using data analytics and sharing... View Details
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