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- All HBS Web
(3,342)
- People (1)
- News (566)
- Research (2,292)
- Events (31)
- Multimedia (9)
- Faculty Publications (1,163)
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- 2019
- Article
Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity
By: Maryam Ghasemaghaei and Goran Calic
Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity." Decision Support Systems 120 (2019): 38–49.
- Teaching Interest
Data Science for Managers
- Served as a teaching fellow; assisted MBA students with classroom coding exercises.
- Developed course materials, including new case studies, technical notes, and code notebooks students used to analzye case data.
- Developed interactive web... View Details
- Winter 2017
- Article
Why Big Data Isn't Enough
By: Sen Chai and Willy C. Shih
There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and... View Details
Keywords: Big Data; Science-based; Science; Scientific Research; Data Analytics; Data Science; Data-driven Management; Data Scientists; Technological Innovation; Analytics and Data Science; Mathematical Methods; Theory
Chai, Sen, and Willy C. Shih. "Why Big Data Isn't Enough." Art. 58227. MIT Sloan Management Review 58, no. 2 (Winter 2017): 57–61.
- 2020
- Article
Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data
By: Maryam Ghasemaghaei and Goran Calic
In this study, we explore the impacts of big data’s main characteristics (i.e., volume, variety, and velocity) on innovation performance (i.e., innovation efficacy and efficiency), which eventually impacts firm performance (i.e., customer perspective, financial... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data." Journal of Business Research 108 (2020): 147–162.
- Teaching Interest
Data Science and Artificial Intelligence for Leaders
By: Chiara Farronato
With artificial intelligence (AI)... View Details
- September 2023
- Case
Trilling Foods: Managing People with Data
Trilling Foods, a regional bricks-and-mortar grocery chain, has recently provided its frontline managers with new tools for using data. Allison Andersen, Trilling’s VP of Data Science, has spearheaded these efforts. Yet, as she works with Kent Wade, the general manager... View Details
Keywords: Digital Transformation; Management Practices and Processes; Training; Organizational Change and Adaptation; Food and Beverage Industry; Retail Industry
Feldberg, Alexandra C., and Jeffrey T. Polzer. "Trilling Foods: Managing People with Data." Harvard Business School Case 424-025, September 2023.
- September 2017 (Revised March 2018)
- Case
Great Lakes Banking Group: Data Management
By: Shane Greenstein and Christine Snively
In May 2016, Michael Rechtin, an expert in international data center law, advised global financial services firm Great Lakes Banking Group (GLBG) on its plans to upgrade its data centers. The bank’s data processing and storage systems were in need of an update, and... View Details
Greenstein, Shane, and Christine Snively. "Great Lakes Banking Group: Data Management." Harvard Business School Case 618-021, September 2017. (Revised March 2018.)
- April 2006
- Background Note
Informing Service Management with Customer Data
By: Frances X. Frei and Dennis Campbell
Taught as the third module in a Harvard Business School course on Managing Service Operations. Explores the role of data analysis in ongoing service management. Describes how to realize the maximum amount of value from analyses and use this information in... View Details
Keywords: Decision Making; Design; Analytics and Data Science; Service Operations; Mathematical Methods; Value
Frei, Frances X., and Dennis Campbell. "Informing Service Management with Customer Data." Harvard Business School Background Note 606-097, April 2006.
- 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.)
- 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.
- 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.)
- 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.)
- 1982
- Book
Managing the Data Resource Function
By: R. L. Nolan
Keywords: Management
Nolan, R. L. Managing the Data Resource Function. 2nd ed. St. Paul, MN: West Publishing Company, 1982.
- March 2016
- Case
Managing Marketing Data at Allstate
By: John Deighton
Deighton, John. "Managing Marketing Data at Allstate." Harvard Business School Case 516-023, March 2016.
- 11 Jun 2013
- News
How Managers Should Use Data
- Article
International Data on Measuring Management Practices
By: Nicholas Bloom, Renata Lemos, Raffaella Sadun, Daniela Scur and John Van Reenen
We examine methods used to survey firms on their management and organizational practices. We contrast the strengths and weaknesses of "open-ended questions" (e.g., World Management Survey) with "closed questions" (e.g., Management and Organizational Practices Surveys).... View Details
Bloom, Nicholas, Renata Lemos, Raffaella Sadun, Daniela Scur, and John Van Reenen. "International Data on Measuring Management Practices." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 152–156.
- 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.
- March–April 1979
- Article
Managing the Crises in Data Processing
By: R. L. Nolan
Nolan, R. L. "Managing the Crises in Data Processing." Harvard Business Review 57, no. 2 (March–April 1979).
- First Quarter 2013
- Article
Big Data in the Age of the Telegraph
By: Caitlin C. Rosenthal
Daniel McCallum's 1854 organizational chart for the New York and Erie Railroad resembled a tree rather than a pyramid. It empowered frontline managers by clarifying data flows. View Details
Keywords: Big Data; Telegraph; Organizational Charts; History; Data and Data Sets; Business History; Information Technology; Organizational Structure; Rail Industry
Rosenthal, Caitlin C. "Big Data in the Age of the Telegraph." McKinsey Quarterly, no. 1 (First Quarter 2013): 13–18.
- 02 Mar 2022
- News