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- Faculty Publications (73)
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- All HBS Web (166)
- Faculty Publications (73)
- 2018
- Working Paper
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces...
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Keywords:
Quantile Forecasts;
Regression Tree;
Copula;
Passenger Flow Management;
Data-driven Operations;
Forecasting and Prediction;
Data and Data Sets
Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
- TeachingInterests
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
- January 2024 (Revised February 2024)
- Course Overview Note
Managing Customers for Growth: Course Overview for Students
By: Eva Ascarza
Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of...
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Keywords:
Customer Relationship Management;
Decision Making;
Analytics and Data Science;
Growth Management;
Telecommunications Industry;
Technology Industry;
Financial Services Industry;
Education Industry;
Travel Industry
Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)
- June 2020
- Background Note
Customer Management Dynamics and Cohort Analysis
By: Elie Ofek, Barak Libai and Eitan Muller
The digital revolution has allowed companies to amass considerable amounts of data on their customers. Using this information to generate actionable insights is fast becoming a critical skill that firms must master if they wish to effectively compete and win in today’s...
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Keywords:
Cohort Analysis;
Customers;
Analytics and Data Science;
Segmentation;
Analysis;
Customer Value and Value Chain
Ofek, Elie, Barak Libai, and Eitan Muller. "Customer Management Dynamics and Cohort Analysis." Harvard Business School Background Note 520-122, June 2020.
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
AI;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
Retail Industry;
Italy
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case.
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
- 26 Sep 2023
- Book
Digital Strategy: A Handbook for Managing a Moving Target
excitement and the growing enthusiasm, at times even the frenzy, about these new phenomena, on the grounds of the pressing demands on managers to deal with the new reality and on academics to understand these phenomena. “Existing strategy...
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- 05 Dec 2013
- News
This Is What It Looks Like When a Google Manager Gets Feedback
- Web
Harvard Business School’s First-Ever Climate Fellows: Research to Range from Data-Driven Approaches for Equitable EV Charging Infrastructure to Airline Decarbonization Strategies - Blog - Business in Global Society
The BiGS Fix The BiGS Fix Filter Results Arrow Down Arrow Up Read posts from Author HBS Staff Filters Read posts from Author HBS Staff 20 Apr 2023 Harvard Business School’s First-Ever Climate Fellows: Research to Range from Data-Driven...
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- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046.
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
- 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...
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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.
- Web
Managing Customers for Growth - Course Catalog
(and apply) customer analytics tools and technologies that enable firms take a data-driven approach to their customer management activities. Accordingly, we will combine case discussions with practical...
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- Web
Podcast - Managing the Future of Work
Managing the Future of Work Coursera: From virtual lecture hall to platform for lifelong learning Coursera Chief Enterprise Officer, Leah Belsky, on how online education is facilitating workforce development, mitigating Covid job losses,...
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- Web
Podcast - Managing the Future of Work
Managing the Future of Work Revisiting Upward Mobility: The 2023 American Opportunity Index In its second iteration, the corporate scorecard draws on a wider range of worker outcomes to rank Fortune 500 employers on how well they boost...
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- 13 Sep 2019
- Blog Post
An Uncommon Summer: Project Management at an Education Non-Profit
stored, used, and collaborated on information in eight digital systems and their knowledge management practice was, in their words, “a nightmare.” The team’s leadership acknowledged these problems but didn’t have the capacity to work...
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- 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...
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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.)
- July 2013 (Revised June 2014)
- Case
Collaborating for Growth: Duane Morris in a Turbulent Legal Sector
By: Heidi K. Gardner and Annelena Lobb
By the late 2000s, the law firm Duane Morris had transformed itself from a growing U.S. law firm to a significant global player. The firm's uniquely collaborative organizational culture, which featured a transparent, data-driven compensation system, practice-group...
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Keywords:
Professional Service Firm;
Collaboration;
Performance Management;
Risk and Uncertainty;
Competition;
Management Practices and Processes;
Organizational Structure;
Groups and Teams;
Organizational Culture;
Performance;
Cooperation;
Globalized Firms and Management;
Compensation and Benefits;
Volatility;
Growth and Development Strategy;
Legal Services Industry;
United States
Gardner, Heidi K., and Annelena Lobb. "Collaborating for Growth: Duane Morris in a Turbulent Legal Sector." Harvard Business School Case 414-022, July 2013. (Revised June 2014.)
- 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...
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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