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Data Practices - Research Computing Services

Scraping Power Analysis Causal Inference Missing Data Other Data Resources Data Repositories Harvard Dataverse at IQSS Baker Library Databases Center for Geographic Analysis at... View Details

September 2020 (Revised July 2022)
Exercise

Artea (B): Including Customer-Level Demographic Data

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: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

2004
Case

Learning to Manage with Data in Duval County Public Schools: Lake Shore Middle School (A)

By: Allen Grossman, James P. Honan and Caroline Joan King

Keywords: Middle School Education; Management Skills; Florida

February 2020
Technical Note

Talent Management and the Future of Work

By: William R. Kerr and Gorick Ng

The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes... View Details

Keywords: Human Resource Management; Human Capital Development; Human Resource Practices; Talent; Talent Acquisition; Talent Development; Talent Development And Retention; Talent Management; Talent Retention; Labor Flows; Labor Management; Labor Market; Strategy Development; Strategy Management; Strategy Execution; Strategy And Execution; Strategic Change; Transformations; Organization; Organization Alignment; Organization Design; Organizational Adaptation; Organizational Effectiveness; Management Challenges; Management Of Business And Political Risk; Change Leadership; Future Of Work; Future; Skills Gap; Skills Development; Skills; Offshoring And Outsourcing; Investment; Capital Allocation; Work; Work Culture; Work Force Management; Work/life Balance; Work/family Balance; Work-family Boundary Management; Workers; Worker Productivity; Worker Performance; Work Engagement; Work Environment; Work Environments; Productivity; Organization Culture; Soft Skills; Technology Management; Technological Change; Technological Change: Choices And Consequences; Technology Diffusion; Disruptive Technology; Global Business; Global; Workplace; Workplace Context; Workplace Culture; Workplace Wellness; Collaboration; Competencies; Productivity Gains; Digital; Digital Transition; Competitive Dynamics; Competitiveness; Competitive Strategy; Data Analytics; Data; Data Management; Data Strategy; Data Protection; Aging Society; Diversity; Diversity Management; Millennials; Communication Complexity; Communication Technologies; International Business; Work Sharing; Global Competitiveness; Global Corporate Cultures; Intellectual Property; Intellectual Property Management; Intellectual Property Protection; Intellectual Capital And Property Issues; Globalization Of Supply Chain; Inequality; Recruiting; Hiring; Hiring Of Employees; Training; Job Cuts And Outsourcing; Job Performance; Job Search; Job Design; Job Satisfaction; Jobs; Employee Engagement; Employee Attitude; Employee Benefits; Employee Compensation; Employee Fairness; Employee Relationship Management; Employee Retention; Employee Selection; Employee Motivation; Employee Feedback; Employee Coordination; Employee Performance Management; Employee Socialization; Process Improvement; Application Performance Management; Stigma; Institutional Change; Candidates; Digital Enterprise; Cultural Adaptation; Cultural Change; Cultural Diversity; Cultural Context; Cultural Strategies; Cultural Psychology; Cultural Reform; Performance; Performance Effectiveness; Performance Management; Performance Evaluation; Performance Appraisal; Performance Feedback; Performance Measurement; Performance Metrics; Performance Measures; Performance Efficiency; Efficiency; Performance Analysis; Performance Appraisals; Performance Improvement; Automation; Artificial Intelligence; Technology Companies; Managerial Processes; Skilled Migration; Assessment; Human Resources; Management; Human Capital; Talent and Talent Management; Retention; Demographics; Labor; Strategy; Change; Change Management; Transformation; Organizational Change and Adaptation; Organizational Culture; Working Conditions; Information Technology; Technology Adoption; Disruption; Economy; Competition; Globalization; AI and Machine Learning; Digital Transformation

11 Oct 2018
News

Baseball’s Billy Beane Shows Companies the Power of Data

09 Oct 2020
Working Paper Summaries

Where the Cloud Rests: The Economic Geography of Data Centers

Keywords: by Shane Greenstein and Tommy Pan Fang

16 Nov 2010
Lessons from the Classroom

Data.gov: Matching Government Data with Rapid Innovation

organizations in private industry could learn from the example of Data.gov to the extent of unlocking data from individual silos in their firm even though data remain protected within firewalls. HBS... View Details

Keywords: by Martha Lagace; Technology

Web

Historical Data Visualization - Business History

Historical Data Visualization To facilitate understanding the history of global capitalism in its broad societal context, this tool provides historical data on broad economic, social and political trends... View Details

November 2012
Article

Does Management Really Work?

By: Nicholas Bloom, Raffaella Sadun and John Van Reenen

HBR's 90th anniversary is a sensible time to revisit a basic question: Are organizations more likely to succeed if they adopt good management practices? The answer may seem obvious to most HBR readers, but these three economists cast their net much wider than that. In... View Details

Keywords: Best Practices; Consulting Firms; Corporations; Cost Control; Employee Training; Executive Ability (Management); Executives—training Of; Hospitals—administration; Industrial Management—research; Productivity Incentives; School Management Teams; Work Environment; Management; Research

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Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details

Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption

June 2015 (Revised February 2017)
Case

Uber and Stakeholders: Managing a New Way of Riding

By: Rosabeth Moss Kanter and Daniel Fox

By 2015, technological innovations—the smartphone and the advanced data connectivity that enabled it—created new opportunities for people to move around cities quickly and conveniently without owning a car, via car-sharing services like Zipcar or new ride-sharing... View Details

Keywords: Uber; Ride-sharing; Sharing Economy; Transportation Network Company; Leadership And Change Management; Stakeholder Management; Managing Change; Leadership; Regulation; Smartphones; Web-enabled Application; Disruptive Technology; Startup Management; Entrepreneurship; Business and Stakeholder Relations; Transportation; Mobile Technology; Transportation Industry; Technology Industry

August 1984
Article

Kourigyou ni okeru Atarashii Data Kanri System no Kousou: Bumon-betsu ROI no Kaihatsu to Bunseki (A Plan for a New Data Management System in the Retailing Industry)

By: Hirotaka Takeuchi

Keywords: Management; System; Sales; Business Ventures; Retail Industry

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February 2010
Case

Foxwoods: Turning Data into Insights in the Hospitality Industry

By: Lynda M. Applegate and Deborah L. Soule

This case describes how an IT director identified an opportunity and implemented an innovative business solution designed to enable line managers and executives to convert data to information to insights. The case also details how the company partnered with an emerging... View Details

Keywords: Corporate Entrepreneurship; Technological Innovation; Knowledge Use and Leverage; Partners and Partnerships; Information Technology; Entertainment and Recreation Industry; Connecticut

Fast Answer

Industries: financial analytical data and tools

Where can I find aggregate data on specific industries? An increasing number of databases are now available on the market to support the financial data analytical needs of bankers and financial... View Details

15 May 2017
Sharpening Your Skills

The Promises and Limitations of Big Data

Source: peterhowell Although many people claim we have entered the era of big data, research firms tell us that most collected information is never used. It sits uncleaned, unanalyzed, unused in databases. But when data analytics is used... View Details

Keywords: by Sean Silverthorne; Financial Services; Utilities; Public Administration; Health

January 2019 (Revised July 2019)
Case

New Balance: Managing Orders and Working Conditions

By: Michael W. Toffel, Eileen McNeely and Matthew Preble

New Balance Athletics, Inc., a major U.S.-based athletic footwear and apparel brand, sources most of its footwear products from independent suppliers whose factories are located in China, Indonesia, and Vietnam. Monica Gorman, vice president of responsible leadership... View Details

Keywords: Footwear; Athletic Footwear; Manufacturing; CSR; Sustainability; Quality Management; Supply Chains; Operations; Management; Production; Working Conditions; Corporate Social Responsibility and Impact; Labor and Management Relations; Supply Chain Management; Supply Chain; Order Taking and Fulfillment; Apparel and Accessories Industry; Consumer Products Industry

03 Feb 2016
News

CargoMetrics Cracks the Code on Shipping Data

2023
Working Paper

Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation

By: Sam (Ruiqing) Cao and Marco Iansiti

The increasing availability of data can afford dynamic competitive advantages among data-intensive corporations, but governance bottlenecks hinder data-driven value creation and increase regulatory risks. We analyze the role of two technological features of data... View Details

Keywords: Organizations; Information Technology; Performance Productivity; Growth and Development; Transformation