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28 Apr 2015
News

Data Science Contest “Keeping it Fresh”: Predict Restaurant Health Scores

Big Data

Big data is defined and distinguished from a mere moment in the “ancient quest to measure.” Specific discontinuities in the practice of information science are identified which, the paper argues, have large consequences for the social order. The infrastructure that... View Details

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

August 2017 (Revised December 2018)
Case

Tamarin App: Natural Language Processing

By: Srikant M. Datar and Caitlin N. Bowler

In this case, students explore the challenges of using sentiment analysis to monitor and understand public perception around a software application, Tamarin SEO App. Technical topics include building a filtering classifier using naive Bayes and sentiment analysis This... View Details

Keywords: Data Science; Branding; Data Analytics; Analytics and Data Science; Brands and Branding; Analysis; Perception; Planning

June 2018 (Revised January 2019)
Background Note

Visualizing Data & Effective Communication

By: Srikant M. Datar and Caitlin N. Bowler

This note explores three specific ways an analyst can use visualization. Section 1 considers visualization to explore data. Section 2 discusses visualization as a tool for developing a deeper understanding of trends and phenomena encoded in the data. Section 3... View Details

Keywords: Data Visualization; Graphical Guidelines; Charts; Analytics and Data Science; Communication

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... View Details

November 2018
Case

Sportradar (A): From Data to Storytelling

By: Ramon Casadesus-Masanell, Karen Elterman and Oliver Gassmann

In 2013, the Swiss sports data company Sportradar debated whether to expand from its core business of data provision to bookmakers into sports media products. Sports data was becoming a commodity, and in the future, sports leagues might reduce their dependence on... View Details

20 May 2022
HBS Conference

Data Science in a Digital World: Methodology, Organization, and Management

2021
Working Paper

The Value of Data and Its Impact on Competition

By: Marco Iansiti

Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to... View Details

Keywords: Online Platforms; Data Network Effects; Analytics and Data Science; Value; Competition; Digital Platforms

February 2017 (Revised April 2018)
Case

Shopkick: The Power of Shopper Data

By: John Deighton, Allison Ciechanover and Mike Horia Todorescu

Keywords: Big Data; Mobile App; Marketing; Mobile and Wireless Technology; Analytics and Data Science

August 2017 (Revised August 2018)
Case

The Oakland Athletics: Strategy & Metrics for a Budget

By: Srikant M. Datar and Caitlin N. Bowler

This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details

Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry

2020
Working Paper

An Empirical Guide to Investor-Level Private Equity Data from Preqin

By: Juliane Begenau, Claudia Robles-Garcia, Emil Siriwardane and Lulu Wang

This note provides guidance on the use of investor-level private equity data from Preqin for empirical research. Preqin primarily sources its cash flow data through Freedom of Information Act (FOIA) requests with U.S. public pensions. Our focus is on the components of... View Details

Keywords: Private Equity Returns; Prequin Data; Private Equity; Analytics and Data Science; Investment Return

2021
Working Paper

Invisible Primes: Fintech Lending with Alternative Data

By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael

We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to... View Details

Keywords: Fintech Lending; Alternative Data; Machine Learning; Algorithm Bias; Finance; Information Technology; Financing and Loans; Analytics and Data Science; Credit

February 2019 (Revised August 2019)
Case

Maccabitech: The Promise of Israel's Healthcare Data

By: Scott Duke Kominers and Carin-Isabel Knoop

Dr. Varda Shalev bridges technology and medicine through Maccabitech, a "research and innovation wing" of Israel's Maccabi Healthcare Services (MHS) that partners with research institutions, pharmaceutical companies, and startups. Shalev hopes to scale Maccabitech's... View Details

Keywords: Big Data; Healthcare; Analytics and Data Science; Digital Platforms; Health Care and Treatment; Innovation and Invention; Research; Entrepreneurship; Risk Management; Israel

March 2017 (Revised March 2022)
Case

Flashion: Art vs. Science in Fashion Retailing

By: Kris Ferreira and Karim R. Lakhani

Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details

Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States

August 2018 (Revised September 2018)
Supplement

Predicting Purchasing Behavior at PriceMart (B)

By: Srikant M. Datar and Caitlin N. Bowler

Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details

Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction

November 2019 (Revised January 2020)
Case

Bayer Crop Science

By: David E. Bell, Damien McLoughlin, Natalie Kindred and James Barnett

In mid-2019, a year after German conglomerate Bayer Group closed its acquisition of U.S.-based seeds giant Monsanto, the leadership of Bayer’s Crop Science division (which absorbed Monsanto) is reflecting on the opportunities ahead. Some observers have questioned... View Details

Keywords: Agribusiness; Research and Development; Innovation and Invention; Innovation Strategy; Mergers and Acquisitions; Consolidation; Customer Value and Value Chain; Change Management; Agriculture and Agribusiness Industry; Technology Industry; United States; Germany

February 2021 (Revised June 2021)
Case

Bairong and the Promise of Big Data

By: Lauren Cohen, Xiaoyan Zhang and Spencer C.N. Hagist

Bairong CEO Felix Zhang, in launching his credit scoring start-up that incorporates 74,000 variables per individual, found strong initial success. However, the shifting regulatory environment, growing breadth of competitors, difficulties in retaining top talent, and... View Details

Keywords: Fintech; Big Data; Artificial Intelligence; Credit Scoring; Finance; Credit; Business Startups; AI and Machine Learning; Analytics and Data Science; China

May 2017 (Revised March 2018)
Case

Predicting Consumer Tastes with Big Data at Gap

By: Ayelet Israeli and Jill Avery

CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details

2012
Book

Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data

By: Thomas H. Davenport

This book, an edited collection of research papers from the International Institute of Analytics, addresses a wide variety of key topics in managing business analytics and big data at the enterprise level. It includes key applications of analytics, human and... View Details

Keywords: Business Analytics; Big Data; Business or Company Management; Analytics and Data Science; Management Practices and Processes; Mathematical Methods; Information Management

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