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(6,696)
- News (1,181)
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- Faculty Publications (2,956)
Show Results For
- All HBS Web
(6,696)
- News (1,181)
- Research (4,336)
- Events (107)
- Multimedia (62)
- Faculty Publications (2,956)
- January 1983 (Revised January 1998)
- Background Note
Note on Analyzing BGIE Data
Introduces students to the process of data analysis in Business, Government, and the International Economy (BGIE) cases. Uses examples from Selected U.S. Statistics: Part I. View Details
Rukstad, Michael G. "Note on Analyzing BGIE Data." Harvard Business School Background Note 383-094, January 1983. (Revised January 1998.)
- 01 Dec 2014
- News
Making Big Data Fashionable
styles are resonating with consumers. By monitoring data such as social media chatter, shared images, and Google searches, Trendalytics can identify specific trends that a brand can then use to guide... View Details
- 15 May 2017
- Sharpening Your Skills
The Promises and Limitations of Big Data
services firms are using digital information about their customers to offer them a whole new range of customized products under the category of fintech. Cities are using data from Google Street View to guide economic development. View Details
- 23 Nov 2021
- News
Data Storytelling: How to Effectively Tell a Story with Data
- July 2023
- Case
HealthVerity: Real World Data and Evidence
By: Satish Tadikonda
Andrew Kress (CEO and founder) and his team had built a promising marketplace business at HealthVerity serving its core market in healthcare, with a focus on pharmaceutical R&D and services. Thus far, HealthVerity’s products had been unique to the pharma and pharma... View Details
Tadikonda, Satish. "HealthVerity: Real World Data and Evidence." Harvard Business School Case 824-019, July 2023.
- August 2024
- Technical Note
Introduction to Data Analysis in Python
By: Michael Parzen and Jo Ellery
This note introduces Python as a tool for data science, including the Pandas library for data analysis. View Details
Keywords: Analytics and Data Science
Parzen, Michael, and Jo Ellery. "Introduction to Data Analysis in Python." Harvard Business School Technical Note 625-016, August 2024.
- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
- 16 May 2014
- Blog Post
Leveraging Big Data to Improve Recruiting
Organizations everywhere are turning to Big Data to make smarter decisions. But how can you leverage it to improve the recruiting process? As the Assistant Director of Market Intelligence within the Career & Professional Development... View Details
- July 2021
- Article
Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance
By: Goran Calic and Maryam Ghasemaghaei
Over the last decade, the use big data in firms has seen a rapid increase. Whilst scholars have begun to unpack the relationship between big data utilisation and financial performance, significant uncertainty exists about the ethical uses of this new asset. Whether... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Performance Improvement; Organizational Change and Adaptation
Calic, Goran, and Maryam Ghasemaghaei. "Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance." Journal of Business Research 131 (July 2021): 391–401.
- 24 Apr 2014
- News
Tackling the data dilemma
firm with innovative products, services, and solutions to help companies transition to the new style of IT. Since joining HP in 2011, Whitman has championed initiatives that help customers navigate the new realities of 21st-century... View Details
- December 2021
- Case
Burning Glass Technologies: From Data to Product
By: Suraj Srinivasan and Amy Klopfenstein
In May 2021, Matt Sigelman, CEO of Burning Glass Technologies, a company that provided labor market analytics for a variety of markets, navigates his company’s transition from data company to product company. Burning Glass originated as a service that used artificial... View Details
Keywords: Information Technology; Applications and Software; Digital Platforms; Internet and the Web; Strategy; Expansion; Business Strategy; Labor; Employment; Human Capital; Jobs and Positions; Job Design and Levels; Job Search; Human Resources; Selection and Staffing; Recruitment; Employees; Retention; Competency and Skills; Experience and Expertise; Talent and Talent Management; Analytics and Data Science; Business Model; Technology Industry; North and Central America; United States
Srinivasan, Suraj, and Amy Klopfenstein. "Burning Glass Technologies: From Data to Product." Harvard Business School Case 122-015, December 2021.
- September 2016 (Revised May 2018)
- Case
Zurich Insurance: Global Job Structure and Data Analysis
By: Boris Groysberg and Katherine Connolly
Zurich Insurance was undergoing organizational change after implementing five new people practices focused on manager development, diversity and inclusion, job model and data analytics, recruitment, and talent pipeline. The case “Zurich Insurance: Fostering Key People... View Details
Keywords: Managing Change; Organizational Behavior; Organizational Architecture; Organizational Change and Adaptation; Leadership; Human Capital; Change Management; Organizational Structure; Insurance; Organizational Culture; Globalization; Human Resources; Insurance Industry
Groysberg, Boris, and Katherine Connolly. "Zurich Insurance: Global Job Structure and Data Analysis." Harvard Business School Case 417-038, September 2016. (Revised May 2018.)
- January 2019
- Supplement
Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis
By: Jill Avery and Gerald Zaltman
In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of 20 of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Luckily, an old consumer research study on the Nestlé Crunch Bar... View Details
Keywords: Brand Management; Market Research; Brand Positioning; Value Proposition; Consumer Products; Fast Moving Consumer Goods; Qualitative Methods; Zaltman Metaphor Elicitation Technique; ZMET; Data Analysis; Marketing; Marketing Strategy; Brands and Branding; Consumer Behavior; Marketing Communications; Analytics and Data Science; Analysis; Food and Beverage Industry; Food and Beverage Industry; Food and Beverage Industry; United States; North America; Italy
Avery, Jill, and Gerald Zaltman. "Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis." Harvard Business School Supplement 519-062, January 2019.
- 2021
- Working Paper
Corporate Environmental Impact: Measurement, Data and Information
By: David Freiberg, DG Park, George Serafeim and T. Robert Zochowski
As an organization’s environmental impact has become a central societal consideration, thereby affecting industry and organizational competitiveness, interest in measuring and analyzing environmental impact has increased. We develop a methodology to derive comparable... View Details
Keywords: Environment; Impact; Measurement; Environmental Ratings; Corporate Valuation; Financial Materiality; Sustainability; Environmental Impact; Environmental Strategy; Impact-Weighted Accounts; IWAI; Environmental Sustainability; Corporate Social Responsibility and Impact; Measurement and Metrics; Valuation
Freiberg, David, DG Park, George Serafeim, and T. Robert Zochowski. "Corporate Environmental Impact: Measurement, Data and Information." Harvard Business School Working Paper, No. 20-098, March 2020. (Revised February 2021.)
- July 1980 (Revised September 1980)
- Supplement
Self-Assessment and Career Development, Background Data
Clawson, James G. "Self-Assessment and Career Development, Background Data." Harvard Business School Supplement 481-021, July 1980. (Revised September 1980.)
- March 2002 (Revised March 2006)
- Teaching Note
Space Data Corporation TN
Teaching Note for (9-602-121). View Details
- 2017
- Case
DigiPlex: Future-Ready Data Centers
By: Y. Grushka-Cockayne and Y. Yemen
Grushka-Cockayne, Y., and Y. Yemen. "DigiPlex: Future-Ready Data Centers." University of Virginia, Darden School of Business Case UVA-QA-0880, 2017.
- May 2019
- Teaching Note
Data Science at Target
By: Srikant M. Datar and Caitlin N. Bowler
Teaching Note for HBS No. 118-016. View Details
- October 2002 (Revised February 2003)
- Case
Administrative Data Project (B)
By: Lynda M. Applegate and Donald E. Heller
Supplements the (A) case. View Details
Keywords: Education Industry
Applegate, Lynda M., and Donald E. Heller. "Administrative Data Project (B)." Harvard Business School Case 803-052, October 2002. (Revised February 2003.)