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    • All HBS Web  (1,368)
      • Faculty Publications  (283)

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      • Article

      Financial Analysis of Pediatric Resident Physician Primary Care Longitudinal Outpatient Experience

      By: Robert S. Kaplan, Carole H. Stipelman, Brad Poss, Laura Anne Stetson, Luca Boi, Michael Rogers, Caleb Puzey, Sri Koduri, Vivian S. Lee and Edward B. Clark
      Objective
      To determine whether residency training represents a net positive or negative cost to academic medical centers, we analyzed the cost of a residency program and clinical productivity of residents and faculty in an outpatient primary care practice with or... View Details
      Keywords: Academic Medicine; Cost; Children; Graduate Medical Education
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      Kaplan, Robert S., Carole H. Stipelman, Brad Poss, Laura Anne Stetson, Luca Boi, Michael Rogers, Caleb Puzey, Sri Koduri, Vivian S. Lee, and Edward B. Clark. "Financial Analysis of Pediatric Resident Physician Primary Care Longitudinal Outpatient Experience." Academic Pediatrics 18, no. 7 (September–October 2018): 837–842.
      • August 2018 (Revised September 2018)
      • Case

      Predicting Purchasing Behavior at PriceMart (A)

      By: Srikant M. Datar and Caitlin N. Bowler
      This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details
      Keywords: Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction
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      Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (A)." Harvard Business School Case 119-025, August 2018. (Revised September 2018.)
      • August 2018 (Revised September 2018)
      • Supplement

      Predicting Purchasing Behavior at PriceMart (B)

      By: Srikant M. Datar and Caitlin N. Bowler
      Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
      Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction
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      Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (B)." Harvard Business School Supplement 119-026, August 2018. (Revised September 2018.)
      • August 2018 (Revised April 2019)
      • Case

      Chateau Winery (A): Unsupervised Learning

      By: Srikant M. Datar and Caitlin N. Bowler
      This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups... View Details
      Keywords: Clustering; Data Science; Analytics and Data Science; Customers; Marketing; Analysis
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      Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
      • August 2018 (Revised April 2019)
      • Supplement

      Chateau Winery (B): Supervised Learning

      By: Srikant M. Datar and Caitlin N. Bowler
      This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
      Keywords: Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis
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      Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
      • August 2018 (Revised September 2018)
      • Case

      LendingClub (A): Data Analytic Thinking (Abridged)

      By: Srikant M. Datar and Caitlin N. Bowler
      LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details
      Keywords: Data Science; Data Analytics; Investing; Loans; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction; Business Model
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      Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (A): Data Analytic Thinking (Abridged)." Harvard Business School Case 119-020, August 2018. (Revised September 2018.)
      • August 2018 (Revised September 2018)
      • Supplement

      LendingClub (B): Decision Trees & Random Forests

      By: Srikant M. Datar and Caitlin N. Bowler
      This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
      ... View Details
      Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
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      Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
      • August 2018 (Revised September 2018)
      • Supplement

      LendingClub (C): Gradient Boosting & Payoff Matrix

      By: Srikant M. Datar and Caitlin N. Bowler
      This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details
      Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
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      Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
      • July 2018 (Revised June 2020)
      • Case

      The Boston Cranberry Company

      By: Alan MacCormack
      This case describes the operations of a fictitious company that processes Cranberries. The case contains data that allows students to calculate the bottleneck stage in production, and to evaluate alternative investment options for increasing cranberry processing... View Details
      Keywords: Process Analysis; Plant Management; Operations; Production; Management; Analysis; Performance Capacity; Investment
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      MacCormack, Alan. "The Boston Cranberry Company." Harvard Business School Case 619-009, July 2018. (Revised June 2020.)
      • 2018
      • Simulation

      Financial Analysis Simulation: Data Detective

      By: Suraj Srinivasan and V.G. Narayanan
      In this simulation, students learn to identify typical industry characteristics revealed in financial data. Equipped with an interactive and flexible set of tools, students analyze disguised financials and—using their knowledge of operational practices and reasoning... View Details
      Keywords: Financial Analysis; Financial Accounting; Financial Ratios; Accounting; Financial Statements; Analysis
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      Srinivasan, Suraj, and V.G. Narayanan. "Financial Analysis Simulation: Data Detective." Core Curriculum Readings Series. Simulation and Teaching Note. Boston: Harvard Business Publishing 8742, 2018. Electronic.
      • May 2018 (Revised June 2018)
      • Case

      Cowen Inc.: Leveraging Data

      By: Boris Groysberg, Sarah Abbott and Annelena Lobb
      Cowen Inc.’s broker-dealer, Cowen and Company, LLC, boasted a number of analysts who had made prescient stock calls on the basis of creative data analysis. Now Cowen Inc. had opened a new subsidiary, Kyber, which would attempt to monetize new data science products.... View Details
      Keywords: Data Science; Equity Research; Research Analysts; Investment; Analytics and Data Science; Equity; Research; Analysis; Competitive Strategy
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      Groysberg, Boris, Sarah Abbott, and Annelena Lobb. "Cowen Inc.: Leveraging Data." Harvard Business School Case 418-035, May 2018. (Revised June 2018.)
      • May 2018
      • Exercise

      Data Visualization & Communication Exercise

      By: Srikant M. Datar and Caitlin N. Bowler
      This exercise uses the 1986 Challenger shuttle disaster to explore the relationship between data visualization, effective communication, and decision-making. Students review and analyze excerpts from the 13 charts engineers presented to NASA executives the night before... View Details
      Keywords: Visualization; Data; Analytics and Data Science; Communication; Performance Effectiveness; Decision Making; Analysis
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      Datar, Srikant M., and Caitlin N. Bowler. "Data Visualization & Communication Exercise." Harvard Business School Exercise 118-107, May 2018.
      • March 2018
      • Case

      TrustSphere: Building a Market for Relationship Analytics

      By: Boris Groysberg and Katherine Connolly Baden
      Manish Goel was the CEO of TrustSphere, a seven-year-old company in the data analytics industry that focused squarely on relationship analytics, a space in which TrustSphere was pioneering a unique technology and solutions in the areas of sales, risk, and people... View Details
      Keywords: Data Analytics; People Analytics; Talent Management; Human Resources; Networks; Relationships; Analysis; Employee Relationship Management; Core Relationships; Applications and Software; Communication; Technology Industry; Singapore
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      Groysberg, Boris, and Katherine Connolly Baden. "TrustSphere: Building a Market for Relationship Analytics." Harvard Business School Case 418-070, March 2018.
      • February 2018 (Revised December 2020)
      • Case

      People Analytics at Teach For America (A)

      By: Jeffrey T. Polzer and Julia Kelley
      As of mid-2016, national nonprofit Teach For America (TFA) had struggled with three consecutive years of declining application totals, and senior management was re-examining the organization's strategy, including recruitment and selection. A few months earlier, former... View Details
      Keywords: Recruitment; Selection and Staffing; Analysis; Forecasting and Prediction
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      Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (A)." Harvard Business School Case 418-013, February 2018. (Revised December 2020.)
      • February 2018
      • Supplement

      People Analytics at Teach For America (B)

      By: Jeffrey T. Polzer and Julia Kelley
      This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques. View Details
      Keywords: Analytics and Data Science; Forecasting and Prediction; Recruitment; Analysis
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      Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 418-049, February 2018.
      • February 2018 (Revised June 2021)
      • Case

      New Constructs: Disrupting Fundamental Analysis with Robo-Analysts

      By: Charles C.Y. Wang and Kyle Thomas
      This case highlights the business challenges associated with a financial technology firm, New Constructs, that created a technology that can quickly parse complicated public firm financials to paint a clearer economic picture of firms, remove accounting distortions,... View Details
      Keywords: Fundamental Analysis; Machine Learning; Robo-analysts; Financial Statements; Financial Reporting; Analysis; Information Technology; Accounting Industry; Financial Services Industry; Information Technology Industry; North America; Tennessee
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      Wang, Charles C.Y., and Kyle Thomas. "New Constructs: Disrupting Fundamental Analysis with Robo-Analysts." Harvard Business School Case 118-068, February 2018. (Revised June 2021.)
      • 2019
      • Working Paper

      Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles

      By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
      We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
      Keywords: Spoken Communication; Business History; Analytics and Data Science; Finance; Performance
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      Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
      • Article

      Mitigating Bias in Adaptive Data Gathering via Differential Privacy

      By: Seth Neel and Aaron Leon Roth
      Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
      Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory
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      Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
      • November 28, 2017
      • Editorial

      Active Investing v.2.0

      By: Gabriel Karageorgiou and George Serafeim
      Keywords: Investment; Investing; Technology; Big Data; Quantitative Analysis; ESG; ESG (Environmental, Social, Governance) Performance; Sustainability; Analytics and Data Science
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      Karageorgiou, Gabriel, and George Serafeim. "Active Investing v.2.0." Pensions & Investments (online) (November 28, 2017).
      • November 2017
      • Article

      A Retrospective Analysis of Hypertension Screening at a Mass Gathering in India: Implications for Non-communicable Disease Control Strategies

      By: S. Balsari, P. Vemulapalli, M. Gofine, K. Oswal, R. Merchant, S. Saunik, G. Greenough and T. Khanna
      Cardiovascular disease is the leading cause of mortality from noncommunicable diseases (NCD) in India. The government’s National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke seeks to increase capacity building, screening,... View Details
      Keywords: Health Disorders; Health Care and Treatment; Problems and Challenges; India
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      Balsari, S., P. Vemulapalli, M. Gofine, K. Oswal, R. Merchant, S. Saunik, G. Greenough, and T. Khanna. "A Retrospective Analysis of Hypertension Screening at a Mass Gathering in India: Implications for Non-communicable Disease Control Strategies." Journal of Human Hypertension 31, no. 11 (November 2017): 750–753.
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