Publications

Feb 21 2017
Testimonial

he seeks counsel from a panel of advisers, resulting in a wealth of teaching moments. Judgment Calls: Twelve Stories of Big Decisions and the Teams That Got Them Right by Thomas H. Davenport and Brook Manville (Harvard Business Review Press) Despite increasing reliance... View Details

Keywords: Publishing Industries (except Internet); Information

Fast Answer

Home sales (existing)

How do I find data on existing home sales and prices? Moody’s Analytics CRE allows you to search millions of real estate data points that cover every commercially zoned property in the U.S. Provides trend and forecast coverage... View Details

Sep 08 2016
Testimonial

Aligning Your Company's Strategy

06 Dec 2021
News

HBS Curricula Explore the Complexities of Innovation

of data management and analytics also led HBS to introduce Data Science for Managers, a new Required Curriculum elective for first-year MBA students. Then in their second year, they can choose from a range of data science courses (see... View Details

Keywords: Jennifer Gillespie

Fast Answer

Real estate finance

Where can I find analysis of developments in real estate finance? Real Capital Analytics (RCA): Records over $40 trillion in commercial property transactions tied to 200,000+ investor and lender profiles, spanning diverse property types... View Details

01 Jun 2010
News

The MBA at a Crossroads

criticized business schools for serving up largely vocational training lacking in the analytical rigor deemed necessary to lay claim to academic respectability. Spurred on by the reports, business schools forged an View Details

Keywords: Roger Thompson; Colleges, Universities, and Professional Schools; Educational Services

06 Oct 2011
What Do You Think?

How Will the ‘Moneyball Generation’ Influence Management?

Summing Up Should "Moneyball Analytics" Play a Greater Role in Preparation for Management? There was general agreement among respondents to this month's column that we will see a growing emphasis on analytics among managers as... View Details

Keywords: by James Heskett

2022
Article

Towards Robust Off-Policy Evaluation via Human Inputs

By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju

Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details

Keywords: Analytics and Data Science; Research

Find at Harvard

2021
Working Paper

Time and the Value of Data

By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti

Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details

Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value

SSRN

2020
Working Paper

Machine Learning for Pattern Discovery in Management Research

Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details

Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis

SSRN

December 2016 (Revised December 2020)
Course Overview Note

Big Data in Marketing

By: John Deighton and Mike Horia Teodorescu

Keywords: Big Data; Analytics and Data Science; Marketing

March 1987
Article

Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations

By: J. Frankel and K. A. Froot

Keywords: Currencies; Exchange Rates; Asset Pricing; International Macroeconomics; Monetary Policy; Currency Controls; Fixed Exchange Rates; Floating Exchange Rates; Currency Bands; Currency Zones; Currency Areas; Rational Expectations; Analytics and Data Science; Finance

Find at Harvard

February 1985 (Revised August 1985)
Supplement

Computervision-Japan (C)

Presents sales data for 1983 and 1984. View Details

Keywords: Analytics and Data Science; Sales

Fast Answer

Real Estate Prices by City

How to find office & residential rental prices by major city worldwide. You may begin with: Moody’s Analytics CRE - Search millions of real estate data points that cover every commercially zoned property in the U.S.... View Details

Article

Beyond Statistics: The Economic Content of Risk Scores

By: Liran Einav, Amy Finkelstein, Raymond Kluender and Paul Schrimpf

"Big data" and statistical techniques to score potential transactions have transformed insurance and credit markets. In this paper, we observe that these widely-used statistical scores summarize a much richer heterogeneity, and may be endogenous to the context in which... View Details

Keywords: Analytics and Data Science; Risk and Uncertainty; Insurance Industry

Find at Harvard

February 25, 2016
Article

The Hodgepodge Principle in U.S. Privacy Policy

By: John A. Deighton

Data, says Professor Lawrence Summers, is the new oil, "a hugely valuable asset essential to economic life." Personal data, the kind of data that invites thoughts of privacy, is a big part of that. The European Union saw this economic fuel source coming long ago and... View Details

Keywords: Data; Privacy; Technology; Big Data; Personal Data; Marketing; Information Technology; Analytics and Data Science

2023
Working Paper

PRIMO: Private Regression in Multiple Outcomes

By: Seth Neel

We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details

Keywords: Analytics and Data Science; Mathematical Methods

April 2023
Technical Note

An Art & A Science: How to Apply Design Thinking to Data Science Challenges

By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li

We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure... View Details

Keywords: Decision Making; Framework; Analytics and Data Science

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