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(6,914)
- News (1,266)
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- Faculty Publications (3,088)
Show Results For
- All HBS Web
(6,914)
- News (1,266)
- Research (4,450)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,088)
- 24 Jun 2021
- News
Your Data Supply Chains Are Probably a Mess. Here’s How to Fix Them.
- August 2017 (Revised July 2019)
- Case
GROW: Using Artificial Intelligence to Screen Human Intelligence
By: Ethan Bernstein, Paul McKinnon and Paul Yarabe
Over 10% of all 2017 university graduates in Japan used GROW, an artificial intelligence platform and mobile app developed by Tokyo-based people analytics startup IGS, to recruit for a job. This case puts participants in the shoes of IGS founder and CEO Masahiro... View Details
Keywords: Big Data; Artificial Intelligence; Talent and Talent Management; Recruitment; Selection and Staffing; Human Resources; Information Technology; AI and Machine Learning; Analytics and Data Science; Financial Services Industry; Air Transportation Industry; Advertising Industry; Manufacturing Industry; Technology Industry; Japan
Bernstein, Ethan, Paul McKinnon, and Paul Yarabe. "GROW: Using Artificial Intelligence to Screen Human Intelligence." Harvard Business School Case 418-020, August 2017. (Revised July 2019.)
- March 1992 (Revised March 1996)
- Background Note
Turning Data into Dollars: Information Technology Puts Power in Your Order Management Cycle
Sviokla, John J. "Turning Data into Dollars: Information Technology Puts Power in Your Order Management Cycle." Harvard Business School Background Note 192-110, March 1992. (Revised March 1996.)
- September 1987
- Article
Short-term and Long-term Expectations of the Yen/Dollar Exchange Rate: Evidence from Survey Data
By: J. Frankel and K. A. Froot
Keywords: Currencies; Exchange Rates; Asset Pricing; International Macroeconomics; Monetary Policy; Currency Controls; Fixed Exchange Rates; Floating Exchange Rates; Currency Bands; Currency Zones; Currency Areas; Rational Expectations; Japan; United States
Frankel, J., and K. A. Froot. "Short-term and Long-term Expectations of the Yen/Dollar Exchange Rate: Evidence from Survey Data." Journal of the Japanese and International Economies 1 (September 1987): 249–274. (Revised from NBER Working Paper No. 2216, April 1987.)
- 18 Dec 2024
- Podcast
Using AI and Satellite Data to Transform Agriculture: A Conversation with Alyssa Whitcraft
Dr. Alyssa Whitcraft is a professor at University of Maryland and a leading expert in agricultural remote sensing and climate adaptation. Dr. Whitcraft discusses her journey from co-founding NASA Harvest, a global program addressing food security with satellite data,... View Details
- 01 Aug 2019
- Video
Improving Lives One Data Set at a Time, Esther Hsu Wang (MBA 2009)
- December 2022 (Revised January 2025)
- Case
Akooda: Charging Toward Operational Intelligence
By: Christopher Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel
Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
- January 1995
- Article
Learning in Extensive-Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Term
By: A. E. Roth and I. Erev
Roth, A. E., and I. Erev. "Learning in Extensive-Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Term." Special Issue on Nobel Symposium. Games and Economic Behavior 8 (January 1995): 164–212.
- January 2021
- Supplement
E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Online Channel; Retail; Retail Analytics; Retailing Industry; Data; Data Sharing; Ecommerce; Assortment Optimization; Assortment Planning; Analytics and Data Science; Retention; Retail Industry; Consumer Products Industry; United States
- January 2021 (Revised March 2021)
- Supplement
E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Estimation; Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Bricks And Mortar; Ecommerce; Analytics and Data Science; Analysis; Sales; Goods and Commodities; Retail Industry; Consumer Products Industry; United States
- 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
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
- August 2021
- Article
Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details
Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
- February 2013
- Case
Recorded Future: Analyzing Internet Ideas About What Comes Next
Recorded Future is a "big data" startup company that uses Internet data to make predictions about events, people, and entities. The company primarily serves government intelligence agencies, but has some private sector clients and is considering taking on more. The... View Details
Keywords: Big Data; Analytics; Internet; Analytics and Data Science; Internet and the Web; Entrepreneurship; Forecasting and Prediction; Business Startups; Information Technology Industry
Davenport, Thomas H. "Recorded Future: Analyzing Internet Ideas About What Comes Next." Harvard Business School Case 613-083, February 2013.
- January 2021 (Revised March 2021)
- Supplement
E-Commerce Analytics for CPG Firms (C): Free Delivery Terms
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data; Data Analysis; Data Analytics; Data Sharing; CPG; Consumer Packaged Goods (CPG); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Grocery Delivery; Margins; Retention; Analytics and Data Science; Analysis; Retail Industry; Consumer Products Industry; United States
- 2008
- Conference Presentation
Analyzing and Using Data From Global Positioning Systems and Digital Imagery in Mathematics Courses
By: F. Wattenberg, K. Erickson, J. Helms, K. DeGregory and Hise O. Gibson
Wattenberg, F., K. Erickson, J. Helms, K. DeGregory, and Hise O. Gibson. "Analyzing and Using Data From Global Positioning Systems and Digital Imagery in Mathematics Courses." Paper presented at the 20th International Conference for Technology in Collegiate Mathematics (ICTCM), San Antonio, TX, 2008.
- January 2021
- Exercise
E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Ecommerce; CRM; Loyalty Management; Assortment Planning; Assortment Optimization; Lifetime Value (LTV); Analytics and Data Science; Analysis; Retention; E-commerce; Retail Industry; Consumer Products Industry; United States
Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer." Harvard Business School Exercise 521-079, January 2021.