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- All HBS Web
(1,292)
- Faculty Publications (555)
- 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
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
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 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
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.
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Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
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
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
- August 2018
- Case
BlackBuck (A)
By: Shikhar Ghosh and Shweta Bagai
The case presents the challenges of scaling an asset-heavy company (that relies on its operations). It highlights how decisions on the early team impact a company’s ability to scale, linkage between growth and cash flows, as well the organizational impact of high... View Details
- June 2018 (Revised October 2018)
- Teaching Note
Valuing Snap After the IPO Quiet Period (A), (B), and (C)
By: Marco Di Maggio and Benjamin C. Esty
Teaching Note for HBS Nos. 218-095, 218-096, and 218-116. View Details
Keywords: Sell-side Analysts; Underwriters; Investment Banking; Social Network; Discounted Cash Flow; Cost Of Capital; Conflicts Of Interest; Corporate Governance; Advertising; Quiet Period; Business Startups; Digital Marketing; Initial Public Offering; Information Infrastructure; Valuation; Venture Capital; Forecasting and Prediction; Social Media; Advertising Industry; Entertainment and Recreation Industry; Web Services Industry; United States; California
- June 2018
- Case
Forta Furniture: International Expansion
By: John A. Quelch and Karthik Easwar
The Forta Furniture case highlights the need to consider new market expansion to grow a firm. It demonstrates that simply doing what has always been done is not sustainable when other competitors enter the market with differentiated or potentially superior offerings.... View Details
Keywords: Market Entry and Exit; Global Range; Decision Making; Analysis; Cross-Cultural and Cross-Border Issues; Growth and Development Strategy; Brands and Branding; Expansion
Quelch, John A., and Karthik Easwar. "Forta Furniture: International Expansion." Harvard Business School Brief Case 918-547, June 2018.
- June 2018 (Revised April 2021)
- Supplement
Valuing Snap After the IPO Quiet Period
By: Benjamin C. Esty, Marco Di Maggio and Greg Saldutte
Keywords: Sell-side Analysts; Underwriters; Investment Banking; Social Network; Discounted Cash Flow; Cost Of Capital; Conflicts Of Interest; Corporate Governance; Advertising; Quiet Period; Business Startups; Digital Marketing; Initial Public Offering; Information Infrastructure; Valuation; Venture Capital; Forecasting and Prediction; Social Media; United States; California
- June 2018 (Revised April 2021)
- Case
Valuing Snap After the IPO Quiet Period (A)
By: Marco Di Maggio, Benjamin C. Esty and Gregory Saldutte
Snap, the disappearing message app, went public at $17 per share on March 2, 2017, making its two 20-something founders the youngest self-made billionaires in the country. Over the next three weeks, 14 analysts made investment recommendations on Snap: two with buy... View Details
Keywords: Sell-side Analysts; Underwriters; Investment Banking; Social Network; Discounted Cash Flow; Cost Of Capital; Conflicts Of Interest; Corporate Governance; Advertising; Quiet Period; "DCF Valuation,"; Business Startups; Digital Marketing; Initial Public Offering; Information Infrastructure; Valuation; Venture Capital; Forecasting and Prediction; Social Media; Advertising Industry; Entertainment and Recreation Industry; Web Services Industry; United States; California
Di Maggio, Marco, Benjamin C. Esty, and Gregory Saldutte. "Valuing Snap After the IPO Quiet Period (A)." Harvard Business School Case 218-095, June 2018. (Revised April 2021.)
- June 2018
- Supplement
Valuing Snap After the IPO Quiet Period (B)
By: Marco Di Maggio and Benjamin C. Esty
Analyzes Snap’s value and analyst recommendations following the events described in the (A) case. View Details
Keywords: Sell-side Analysts; Underwriters; Investment Banking; Social Network; Discounted Cash Flow; Cost Of Capital; Conflicts Of Interest; Corporate Governance; Advertising; Quiet Period; Business Startups; Digital Marketing; Initial Public Offering; Information Infrastructure; Valuation; Venture Capital; Forecasting and Prediction; Social Media; Advertising Industry; Entertainment and Recreation Industry; Web Services Industry; United States; California
Di Maggio, Marco, and Benjamin C. Esty. "Valuing Snap After the IPO Quiet Period (B)." Harvard Business School Supplement 218-096, June 2018.
- June 2018
- Supplement
Valuing Snap After the IPO Quiet Period (C)
By: Marco Di Maggio, Benjamin C. Esty and Gregory Saldutte
Analyzes Snap’s value and analyst recommendations following the events described in the (B) case. View Details
Keywords: Sell-side Analysts; Underwriters; Investment Banking; Social Network; Discounted Cash Flow; Cost Of Capital; Conflicts Of Interest; Corporate Governance; Advertising; Quiet Period; Business Startups; Digital Marketing; Initial Public Offering; Information Infrastructure; Valuation; Venture Capital; Forecasting and Prediction; Social Media; Advertising Industry; Entertainment and Recreation Industry; Web Services Industry; United States; California
Di Maggio, Marco, Benjamin C. Esty, and Gregory Saldutte. "Valuing Snap After the IPO Quiet Period (C)." Harvard Business School Supplement 218-116, June 2018.
- May 2018 (Revised October 2019)
- Case
Managing the Future of Work
By: William R. Kerr, Allison Ciechanover and Jeff Huizinga
By 2019, leaders from the public and private sector had become increasingly anxious about how advanced technologies and aging global populations could affect labor markets, workplaces, and workers’ lives. Some analysts forecasted that hundreds of millions of workers... View Details
Keywords: Labor Markets; Workplace; Employment; Technological Innovation; Demographics; Organizational Change and Adaptation; Change Management; Problems and Challenges; Opportunities
Kerr, William R., Allison Ciechanover, and Jeff Huizinga. "Managing the Future of Work." Harvard Business School Case 818-128, May 2018. (Revised October 2019.)
- 2025
- Working Paper
Government-Brokerage Analysts and Market Stabilization: Evidence from China
By: Sheng Cao, Xianjie He, Charles C.Y. Wang and Huifang Yin
We show analysts at government-controlled brokerage firms serve as a market stabilization tool
in China. Using earnings forecasts from 2005–2019, we find government-brokerage analysts
issue relatively more optimistic—yet less accurate and timely—forecasts during... View Details
Keywords: Sell-side Analysts; Forecast Optimism; Forecast Accuracy; Government Incentives; Market Stabilization; Government Ownership; Coordinated Economies; Stocks; Forecasting and Prediction; Business and Government Relations; Emerging Markets
Cao, Sheng, Xianjie He, Charles C.Y. Wang, and Huifang Yin. "Government-Brokerage Analysts and Market Stabilization: Evidence from China." Harvard Business School Working Paper, No. 18-095, March 2018. (Revised March 2025.)
- February 2018 (Revised December 2020)
- Supplement
People Analytics at Teach For America (Data Set)
This data set is a supplement to the People Analytics at Teach For America (A) case. View Details
- 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
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
- January 2018 (Revised January 2020)
- Case
People Analytics at McKinsey
By: Jeffrey T. Polzer and Olivia Hull
A private equity–backed fast food chain has hired McKinsey’s new People Analytics group to help it improve performance. As the final client workshop approaches, Associate Partner Alex DiLeonardo ponders the best way to present the team’s findings, especially those that... View Details
Keywords: Talent and Talent Management; Customer Relationship Management; Forecasting and Prediction; Cost Management; Human Resources; Employees; Recruitment; Retention; Selection and Staffing; Measurement and Metrics; Performance; Performance Capacity; Performance Efficiency; Performance Evaluation; Performance Improvement; Consulting Industry; Service Industry
Polzer, Jeffrey T., and Olivia Hull. "People Analytics at McKinsey." Harvard Business School Case 418-023, January 2018. (Revised January 2020.)
- Article
Scenario Generation for Long Run Interest Rate Risk Assessment
By: Robert F. Engle, Guillaume Roussellet and Emil N. Siriwardane
We propose a statistical model of the term structure of U.S. treasury yields tailored for long-term probability-based scenario generation and forecasts. Our model is easy to estimate and is able to simultaneously reproduce the positivity, persistence, and factor... View Details
Keywords: Forecasting; Stress Testing; Interest Rates; Forecasting and Prediction; Risk Management; United States
Engle, Robert F., Guillaume Roussellet, and Emil N. Siriwardane. "Scenario Generation for Long Run Interest Rate Risk Assessment." Special Issue on Theoretical and Financial Econometrics: Essays in Honor of C. Gourieroux. Journal of Econometrics 201, no. 2 (December 2017): 333–347.
- November 2017
- Teaching Note
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
Keywords: Brands; Brand & Product Management; Big Data; "Marketing Analytics"; Consumer Behavior; Predictive Analytics; Forecasting; Preferences; Operation Management; Distribution Channels; Marketing; Marketing Channels; Marketing Strategy; Brands and Branding; Forecasting and Prediction; Data and Data Sets; Retail Industry; Fashion Industry; Apparel and Accessories Industry; United States; North America