Filter Results:
(1,568)
Show Results For
- All HBS Web
(2,261)
- News (313)
- Research (1,568)
- Events (13)
- Multimedia (5)
- Faculty Publications (748)
Show Results For
- All HBS Web
(2,261)
- News (313)
- Research (1,568)
- Events (13)
- Multimedia (5)
- Faculty Publications (748)
Page 1 of 1,568
Results →
Sort by
- 2022
- Working Paper
Where the Cloud Rests: The Location Strategies of Data Centers
By: Shane Greenstein and Tommy Pan Fang
This study provides an analysis of the entry strategies of third-party data centers in the United States. We examine the market before the pandemic in 2018 and 2019, when supply and demand for data services were geographically stable. We compare with the entry... View Details
Greenstein, Shane, and Tommy Pan Fang. "Where the Cloud Rests: The Location Strategies of Data Centers." Harvard Business School Working Paper, No. 21-042, September 2020. (Revised June 2022.)
- March 5, 2020
- Editorial
Murky Data Calls into Question Quarantine Strategy
By: Amar Bhide
Like sepsis, a life-threatening, uncontrolled immune response to infections, draconian efforts to contain the coronavirus outbreak may cause more harm than the infection itself. Yet the measures now paralysing the western world before many have actually died are based... View Details
Bhide, Amar. "Murky Data Calls into Question Quarantine Strategy." Financial Times (March 5, 2020).
- Teaching Interest
Data Science for Managers
By: Chiara Farronato
This new course is taught as a required course in the first year MBA curriculum as of a.y. 2023-2024. It provides students with the foundations of data science to become effective data-driven managers. The course covers the basics of visualization, statistical and... View Details
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
- October 2017 (Revised July 2018)
- Case
Data Science at Target
By: Srikant M. Datar and Caitlin N. Bowler
Paritosh Desai joined Target.com in 2013 as VP of Business Intelligence, Analytics & Testing to explore how the retailer could use its relatively small but thriving e-commerce arm to drive sales and win customers. The case explores the technological and organizational... View Details
Keywords: Data Science; Analytics and Data Science; Organizational Change and Adaptation; Competitive Strategy; Problems and Challenges; Innovation Leadership
Datar, Srikant M., and Caitlin N. Bowler. "Data Science at Target." Harvard Business School Case 118-016, October 2017. (Revised July 2018.)
- January 2018
- Case
Viacom: Democratization of Data Science
By: Shane Greenstein and Christine Snively
In two short years, Viacom’s Data Science & Advanced Analytics team built a web platform called Science Central that allowed employees from Viacom’s 20+ cable networks to access television audience insights through three data science apps. In the past, employees would... View Details
Keywords: Data Science; Big Data; Digital Platforms; Analytics and Data Science; Expansion; Strategic Planning
Greenstein, Shane, and Christine Snively. "Viacom: Democratization of Data Science." Harvard Business School Case 618-016, January 2018.
- October 2021 (Revised September 2022)
- Case
SmartOne: Building an AI Data Business
By: Karim R. Lakhani, Pippa Armerding, Gamze Yucaoglu and Fares Khrais
The case opens in August 2021, as Habib and Shahysta Hassim, husband and wife co-founders of the data labeling company SmartOne, contemplate the strategy of the high growth company. Between 2016 and 2021, SmartOne had kept doubling its size every two years and now,... View Details
Keywords: Artificial Intelligence; Data Labeling; Entrepreneurship; Strategy; Operations; Business Model; Growth Management; Growth and Development Strategy; AI and Machine Learning; Africa; Madagascar; Europe; France; United States
Lakhani, Karim R., Pippa Armerding, Gamze Yucaoglu, and Fares Khrais. "SmartOne: Building an AI Data Business." Harvard Business School Case 622-059, October 2021. (Revised September 2022.)
- July 2020
- Case
Applying Data Science and Analytics at P&G
By: Srikant M. Datar, Sarah Mehta and Paul Hamilton
Set in December 2019, this case explores how P&G has applied data science and analytics to cut costs and improve outcomes across its business units. The case provides an overview of P&G’s approach to data management and governance, and reviews the challenges associated... View Details
Keywords: Data Science; Analytics; Analysis; Information; Information Management; Information Types; Innovation and Invention; Strategy; Analytics and Data Science; Consumer Products Industry; United States; Ohio
Datar, Srikant M., Sarah Mehta, and Paul Hamilton. "Applying Data Science and Analytics at P&G." Harvard Business School Case 121-006, July 2020.
- 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
Groysberg, Boris, Sarah Abbott, and Annelena Lobb. "Cowen Inc.: Leveraging Data." Harvard Business School Case 418-035, May 2018. (Revised June 2018.)
- January 2021 (Revised May 2021)
- Case
Amazon Shopper Panel: Paying Customers for Their Data
By: Eva Ascarza and Ayelet Israeli
This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own... View Details
Keywords: Data Analytics; Data Privacy; Data Management; ＂Marketing Analytics＂; Marketing Communication; Marketing Research; Data-driven Management; E-Commerce Strategy; Ethical Decision Making; CRM; Consumer Protection; Targeted Advertising; Targeted Policies; Data Ownership; Marketing; Research; Marketing Communications; Analytics and Data Science; Management; Customer Relationship Management; Ethics; E-commerce; Retail Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Amazon Shopper Panel: Paying Customers for Their Data." Harvard Business School Case 521-058, January 2021. (Revised May 2021.)
- September 2018
- Case
Verisk: Trailblazing in the Big Data Jungle
By: Andrew Wasynczuk, Francesca Gino and Karim Sameh
This case revolves around Verisk Analytics' initiatives to drive innovation throughout the firm's many business verticals. Verisk, originally named ISO, started life as an insurance rating agency in the early 1970s, acting as an intermediary between insurance companies... View Details
Keywords: Verisk; Argus; Wood Mackenzie; Insurance; Energy; Analytics; Data; Big Data; Acquisitions; Acquisition Strategy; Innovation; Organic Growth; Innovation Strategy; Innovation Leadership; Technological Innovation; Acquisition; Growth and Development Strategy; Analytics and Data Science; Insurance Industry; Energy Industry; Consulting Industry; United States; United Kingdom; New York (state, US); England
Wasynczuk, Andrew, Francesca Gino, and Karim Sameh. "Verisk: Trailblazing in the Big Data Jungle." Harvard Business School Case 919-014, September 2018.
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- August 2017 (Revised August 2018)
- Case
The Oakland Athletics: Strategy & Metrics for a Budget
By: Srikant M. Datar and Caitlin N. Bowler
This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details
Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry
Datar, Srikant M., and Caitlin N. Bowler. "The Oakland Athletics: Strategy & Metrics for a Budget." Harvard Business School Case 118-010, August 2017. (Revised August 2018.)
- 2021
- Working Paper
The Value of Data and Its Impact on Competition
By: Marco Iansiti
Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to... View Details
Keywords: Online Platforms; Data Network Effects; Analytics and Data Science; Value; Competition; Digital Platforms
Iansiti, Marco. "The Value of Data and Its Impact on Competition." Harvard Business School Working Paper, No. 22-002, July 2021.
- February 2017
- Case
Yemeksepeti: Growing and Expanding the Business Model through Data
By: William R. Kerr, Gamze Yucaoglu and Eren Kuzucu
In October 2016, Nevzat Aydin, co-founder and CEO of Yemeksepeti, the Turkish online food-ordering company, was looking over the company's quarterly results and projections for the upcoming year with his management team. It had been almost a year and a half since Aydin... View Details
Keywords: Entrepreneurial Management; Entrepreneurial Ventures; Turkey; Big Data; Customer Focused Organization; Service Management; Continuous Improvement; Data Analysis; Internet; Growth Strategy; Technological Change; Information Systems; Entrepreneurship; Corporate Strategy; Analytics and Data Science; Analysis; Customer Focus and Relationships; Emerging Markets; Service Operations; Competitive Advantage; Performance Improvement; Internet and the Web; Growth and Development Strategy; Information Technology; Value Creation; Food and Beverage Industry; Turkey
Kerr, William R., Gamze Yucaoglu, and Eren Kuzucu. "Yemeksepeti: Growing and Expanding the Business Model through Data." Harvard Business School Case 817-095, February 2017.
- 21 Aug 2017
- Lessons from the Classroom
Companies Love Big Data But Lack the Strategy To Use It Effectively
analyzing that data and designing strategy around it. That’s one reason eight HBS professors pooled resources in June to launch the Competing on Business Analytics and Big Data... View Details
Keywords: by Dina Gerdeman
- November 2018
- Case
Sportradar (A): From Data to Storytelling
By: Ramon Casadesus-Masanell, Karen Elterman and Oliver Gassmann
In 2013, the Swiss sports data company Sportradar debated whether to expand from its core business of data provision to bookmakers into sports media products. Sports data was becoming a commodity, and in the future, sports leagues might reduce their dependence on... View Details
Keywords: Sports Data; Data; Sport; Sportradar; Football; Soccer; Gambling; Betting; Betting Markets; Statistics; Odds; Live Data; Bookmakers; Betradar; Visualization; Integrity; Monitoring; Gaming; Streaming; 2013; St.Gallen; Algorithm; Mathematical Modeling; Carsten Koerl; Betandwin; Bwin; Wagering; Probability; Sports; Analytics and Data Science; Mathematical Methods; Games, Gaming, and Gambling; Transition; Strategy; Media; Sports Industry; Technology Industry; Information Technology Industry; Media and Broadcasting Industry; Europe; Switzerland; Asia; Austria; Germany; England
Casadesus-Masanell, Ramon, Karen Elterman, and Oliver Gassmann. "Sportradar (A): From Data to Storytelling." Harvard Business School Case 719-429, November 2018.
- July 1990
- Case
Gillette Co.: Evolution of Electronic Data Interchange Strategy (A)
Konsynski, Benn R. "Gillette Co.: Evolution of Electronic Data Interchange Strategy (A)." Harvard Business School Case 191-010, July 1990.
- May 2017 (Revised March 2018)
- Case
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: Retailing; Preference Elicitation; Big Data; Predictive Analytics; Artificial Intelligence; Fashion; Marketing; Marketing Strategy; Marketing Channels; Brands and Branding; Consumer Behavior; Demand and Consumers; Analytics and Data Science; Forecasting and Prediction; E-commerce; Apparel and Accessories Industry; Consumer Products Industry; Fashion Industry; Retail Industry; United States; Canada; North America
Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
- May 1986 (Revised October 1986)
- Case
Data Administration in Citibank Brazil (B): Strategy and Technology
By: Shoshana Zuboff
Zuboff, Shoshana. "Data Administration in Citibank Brazil (B): Strategy and Technology." Harvard Business School Case 486-110, May 1986. (Revised October 1986.)