Skip to main content
Official Logo of Columbia Business School
Academics
  • Visit Academics
  • Degree Programs
  • Admissions
  • Tuition & Financial Aid
  • Campus Life
  • Career Management
Faculty & Research
  • Visit Faculty & Research
  • Academic Divisions
  • Search the Directory
  • Research
  • Faculty Resources
  • Teaching Excellence
Executive Education
  • Visit Executive Education
  • For Organizations
  • For Individuals
  • Program Finder
  • Online Programs
  • Certificates
About Us
  • Visit About Us
  • CBS Directory
  • Events Calendar
  • Leadership
  • Our History
  • The CBS Experience
  • Newsroom
Alumni
  • Visit Alumni
  • Update Your Information
  • Lifetime Network
  • Alumni Benefits
  • Alumni Career Management
  • Women's Circle
  • Alumni Clubs
Insights
  • Visit Insights
  • Digital Future
  • Climate
  • Business & Society
  • Entrepreneurship
  • 21st Century Finance
  • Magazine

Breadcrumb

  1. Directory
  2. Faculty
  3. Daniel Guetta

Daniel Guetta

Associate Professor of Professional Practice
Decision, Risk, and Operations Division
Director
Center for Pricing and Revenue Management and Business Analytics Initiative
Daniel Guetta
Areas of Expertise
Artificial Intelligence (AI), Operations & Supply Chain Management
Contact
Office: 1132 Kravis
E-mail: [email protected]
Links
Personal Website
Curriculum Vitae

Daniel Guetta is Associate Professor of Professional Practice at Columbia Business School. His research focuses on the ways companies can harness the power of data and analytics to drive value. He teaches classes in business analytics, including data science, pricing, supply chain management, and technical tools such as python and cloud computing. He has authored award-winning case studies in the area with a number of companies, and co-authored "Python for MBAs". Prior to joining the faculty at Columbia, he was a data scientist and engagement manager at Palantir Technologies, where he worked with clients around the world in fields ranging from finance to pharmaceuticals to help them solve their hardest problems using data. He completed his undergraduate studies in physics and mathematics at Cambridge and MIT, and holds a PhD in Operations Research from Columbia Business School.

Education
PhD, Columbia, 2015
Joined CBS
2017

All Activities

  • Research
  • Teaching
  • Awards and Honors
  • Press
  • CaseWorks
  • Journal articles
  • Working papers
  • Articles
  • Books
  • Chapters
  • Courses
  • Case Studies
Course
B8101: Business Analytics II
View Course on Business Analytics II
Course
B7101: Business Analytics II
View Course on Business Analytics II
Course
B8146: Analytics in Action (Master Class)
View Course on Analytics in Action (Master Class)
Course
B5101: Business Analytics
View Course on Business Analytics
Course
B8148: The Analytics Advantage
View Course on The Analytics Advantage
Course
B6102: Operations Management
View Course on Operations Management
Course
B6103: Statistics & Business Analytics
View Course on Statistics & Business Analytics
Course
B8117: Business Analytics III: Modern AI, Deep Learning, and Generative AI
View Course on Business Analytics III: Modern AI, Deep Learning, and Generative AI
Course
B8103: Business Analytics II: Foundations of AI
View Course on Business Analytics II: Foundations of AI
Course
B7117: Business Analytics III: Modern AI, Deep Learning, and Generative AI
View Course on Business Analytics III: Modern AI, Deep Learning, and Generative AI
Course
B7103: Business Analytics II: Foundations of AI
View Course on Business Analytics II: Foundations of AI
  • Awards & Honors
2024

Commitment to Excellence Awards

with Daniel Keum

  • In the Media
  • Articles
In the Media

Earning Your MBA in Business Analytics Could Snag You a 6-Figure Salary

Fortune
In the Media

Earning Your MBA in Business Analytics Could Snag You a 6-Figure Salary

Fortune
Article

Weaving AI into the Classroom

Read More about Weaving AI into the Classroom
Article

Using AI in the Classroom at Columbia Business School

Read More about Using AI in the Classroom at Columbia Business School
Article

Becoming Data Fluent

Read More about Becoming Data Fluent
Article

Python for MBAs: Improving Decision-Making in Business

Read More about Python for MBAs: Improving Decision-Making in Business
Article

'Hyper-Speed and Hyper-Scale'

Read More about 'Hyper-Speed and Hyper-Scale'
Article

Python for MBAs: Improving Decision-Making in Business

Read More about Python for MBAs: Improving Decision-Making in Business
  • CaseWorks
Case ID
250204

Planting the Seeds of Success: Optimizing Inventory at The Sill

How does one determine the optimal limited shelf-life inventory to hold upon transformation to a fully-online business?

View Case on Planting the Seeds of Success: Optimizing Inventory at The Sill
Case ID
250201

Connecting the Dots for NYC Clean Power: The Case of NineDot Energy

What are the logistical challenges inherent in a company’s clean energy business model, using analytical techniques?

View Case on Connecting the Dots for NYC Clean Power: The Case of NineDot Energy
Case ID
240202

The Cambridge Analytica Scandal: Psychographics, Facebook, and the 2016 US Elections

How would a firm use big data to target individuals in political and marketing messaging?

View Case on The Cambridge Analytica Scandal: Psychographics, Facebook, and the 2016 US Elections
Case ID
240201

BinIt: Revolutionizing the Recycling Industry with Computer Vision, AI, and Deep Learning

How can a company use computer vision and AI to optimize recycling and waste management on a broadscale?

View Case on BinIt: Revolutionizing the Recycling Industry with Computer Vision, AI, and Deep Learning
Case ID
230201

Enabling X-to-the-xth: the Operational Secret Behind Uber's Explosive Growth

How does Uber's operational business model support its tremendous growth since inception?

View Case on Enabling X-to-the-xth: the Operational Secret Behind Uber's Explosive Growth
Case ID
220205

Automating Bureaucracy with Python: The Case of the Springfield Bail Fund

How can the Springfield Bail Fund automate and track its large volume of inquiries and manage the information received in an organized manner using Python and Excel?

View Case on Automating Bureaucracy with Python: The Case of the Springfield Bail Fund
Case ID
220204

Aroma Consumer Products Co.: Managing Capacity for a Growing Company

How can Aroma Consumer Products Co., the primary overseas manufacturer for a growing US candle producer, expand production capacity to meet a sudden demand increase?

View Case on Aroma Consumer Products Co.: Managing Capacity for a Growing Company
Case ID
220203

Continuous Quality Monitoring via Data and Analytics at The Estee Lauder Companies

How should Estee Lauder's analytics team respond to a spike in online complaints from its customers?

View Case on Continuous Quality Monitoring via Data and Analytics at The Estee Lauder Companies
Case ID
220201

Autonomous Vehicles: The Technology Behind the Magic

What predictive models can help to establish parameters for autonomous household appliances —such as robotic vacuum cleaners—and how are these models applicable to future autonomous driving vehicles?

View Case on Autonomous Vehicles: The Technology Behind the Magic
Case ID
210212

Analytics in Fixed-Income Trading

How might predictive analytics help to support the bond trading process?

View Case on Analytics in Fixed-Income Trading
Case ID
210211

At the Frontier of Retail in the 21st Century: Modern Fulfillment and The Case of FlexiWeight

With a goal to revolutionize the way America exercises, can Flexiweight find the right fulfillment model to deliver on its mission?

View Case on At the Frontier of Retail in the 21st Century: Modern Fulfillment and The Case of FlexiWeight
Case ID
210210

Continuous Quality Monitoring via Data and Analytics at Patina Beauty

How should Patina Beauty's analytics team respond to a spike in online complaints from its Chinese customers?

View Case on Continuous Quality Monitoring via Data and Analytics at Patina Beauty
Case ID
210409

Mastercard's Organizational Structure: The Making of a New AI Powerhouse

Which organizational structure would enable Mastercard to most effectively deploy its artificial intelligence expertise, with a goal to becoming an AI powerhouse?

View Case on Mastercard's Organizational Structure: The Making of a New AI Powerhouse
Case ID
210207

Analytics in American Football: A New Frontier

Can American football team coaches use statistical analysis to optimize their coaching strategies?

View Case on Analytics in American Football: A New Frontier
Case ID
200202

From Intuition to Data-Driven Analytics: The Case of Dig

Poised for expansion, how should restaurant chain Dig harness the power of data-driven analytics to scale its value chain?

View Case on From Intuition to Data-Driven Analytics: The Case of Dig
Case ID
190202

An Introduction to AI for Text Mining: A Companion to the Evisort Case

What processes make artificial intelligence-driven text mining possible?

View Case on An Introduction to AI for Text Mining: A Companion to the Evisort Case
Case ID
190201A

Evisort: An AI-Powered Start-up Uses Text Mining to Become Google for Contracts

Should technology start up Evisort customize its AI-enhanced contract management software for large potential clients or continue to enhance its software offering to meet its growth strategy?

View Case on Evisort: An AI-Powered Start-up Uses Text Mining to Become Google for Contracts
Case ID
180203

Supply Chain Coordination and Contracts in the Sharing Economy - a Case Study at Cargo

How should Cargo, a provider of in-car goods and services for the rideshare economy, most efficiently manage its two-sided supply chain?

View Case on Supply Chain Coordination and Contracts in the Sharing Economy - a Case Study at Cargo

External CSS

Official Logo of Columbia Business School

Columbia University in the City of New York
665 West 130th Street, New York, NY 10027
Tel. 212-854-1100

Maps and Directions
    • Centers & Programs
    • Current Students
    • Corporate
    • Directory
    • Support Us
    • Recruiters & Partners
    • Faculty & Staff
    • Newsroom
    • Careers
    • Contact Us
    • Privacy & Policy Statements
Back to Top Upward arrow
TOP

© Columbia University

  • X
  • Instagram
  • Facebook
  • YouTube
  • LinkedIn