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(6,693)
- News (1,179)
- Research (4,336)
- Events (107)
- Multimedia (62)
- Faculty Publications (2,957)
Show Results For
- All HBS Web
(6,693)
- News (1,179)
- Research (4,336)
- Events (107)
- Multimedia (62)
- Faculty Publications (2,957)
- Article
Core Earnings: New Data and Evidence
By: Ethan Rouen, Eric C. So and Charles C.Y. Wang
Using a novel dataset, we show that components of firms' GAAP earnings stemming from ancillary business activities or transitory shocks are significant in frequency and magnitude. These components have grown over time and are dispersed across various sections of the... View Details
Keywords: Core Earnings; Transitory Earnings; Non-operating Earnings; Quantitative Disclosures; Equity Valuation; Big Data; Business Earnings; Financial Reporting; Valuation; Analytics and Data Science
Rouen, Ethan, Eric C. So, and Charles C.Y. Wang. "Core Earnings: New Data and Evidence." Journal of Financial Economics 142, no. 3 (December 2021): 1068–1091.
Big Data
Big data is defined and distinguished from a mere moment in the “ancient quest to measure.” Specific discontinuities in the practice of information science are identified which, the paper argues, have large consequences for the social order. The infrastructure that... View Details
- 03 Apr 2015
- News
What Popular Baby Names Teach Us About Data Analytics
- 2021
- Working Paper
Invisible Primes: Fintech Lending with Alternative Data
By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael
We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to... View Details
Keywords: Fintech Lending; Alternative Data; Machine Learning; Algorithm Bias; Finance; Information Technology; Financing and Loans; Analytics and Data Science; Credit
Di Maggio, Marco, Dimuthu Ratnadiwakara, and Don Carmichael. "Invisible Primes: Fintech Lending with Alternative Data." Harvard Business School Working Paper, No. 22-024, October 2021.
- February 2021 (Revised February 2021)
- Background Note
eGrocery and the Role of Data for CPG Firms
By: Ayelet Israeli, Fedor (Ted) Lisitsyn and Mark A. Irwin
This notes provides information about the eGrocery industry and how traditional CPG companies handle this channel and potential data. It is recommended to use together with a series of exercises entitled: "E-Commerce Analytics for CPG Firms (A), (B), and (C)." 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; Optimization; Analytics and Data Science; Analysis; Customer Value and Value Chain; Marketing Channels; E-commerce; Retail Industry; Consumer Products Industry; United States
Israeli, Ayelet, Fedor (Ted) Lisitsyn, and Mark A. Irwin. "eGrocery and the Role of Data for CPG Firms." Harvard Business School Background Note 521-077, February 2021. (Revised February 2021.)
- 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.)
- Article
Gathering Data for Archival, Field, Survey, and Experimental Accounting Research
By: Robert Bloomfield, Mark W. Nelson and Eugene F. Soltes
In the published proceedings of the first Journal of Accounting Research Conference, Vatter (1966) lamented that “Gathering direct and original facts is a tedious and difficult task, and it is not surprising that such work is avoided.” For the 50th JAR Conference,... View Details
Keywords: Archival; Data; Experiment; Empirical Methods; Field Study; Analytics and Data Science; Surveys; Financial Reporting
Bloomfield, Robert, Mark W. Nelson, and Eugene F. Soltes. "Gathering Data for Archival, Field, Survey, and Experimental Accounting Research." Journal of Accounting Research 54, no. 2 (May 2016): 341–395.
- Article
Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data
By: Dean Hyslop and Wilbur Townsend
This article analyzes earnings dynamics and measurement error using a matched longitudinal sample of individuals’ survey and administrative earnings. In line with previous literature, the reported differences are characterized by both persistent and transitory factors.... View Details
Keywords: Earnings Dynamics; Measurement Error; Panel Data; Validation Study; Business Earnings; Measurement and Metrics; Forecasting and Prediction
Hyslop, Dean, and Wilbur Townsend. "Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data." Journal of Business & Economic Statistics 38, no. 2 (2020).
- 11 Aug 2014
- News
Politics and Dirty Data
- 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).
- Link
Data and Visuals
- 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; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories 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.)
- December 2017
- Teaching Note
Yemeksepeti: Growing and Expanding the Business Model through Data
By: William R. Kerr and Alexis Brownell
Teaching Note for HBS No. 817-095. View Details
- 02 Oct 2019
- Blog Post
Improving Lives One Data Set at a Time
Esther Hsu Wang (MBA 2009, MPA 2010) is the Founding Partner of IDinsight, and is on a mission to change the way the world supports those in need. Based in Lusaka, Zambia and serving organizations across Africa View Details