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July 2020
Case

Applying Data Science and Analytics at P&G

By: Srikant M. Datar, Sarah Mehta and Paul Hamilton

Set in December 2019, this case explores how P&G has applied data science and analytics to cut costs and improve outcomes across its business units. The case provides an overview of P&G’s approach to data management and governance, and reviews the challenges associated... View Details

Keywords: Data Science; Analytics; Analysis; Information; Information Management; Information Types; Innovation and Invention; Strategy; Analytics and Data Science; Consumer Products Industry; United States; Ohio

August 2018 (Revised September 2018)
Case

LendingClub (A): Data Analytic Thinking (Abridged)

By: Srikant M. Datar and Caitlin N. Bowler

LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details

Keywords: Data Science; Data Analytics; Investing; Loans; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction; Business Model

Teaching Interest

Big Data Analytics and Machine Learning

Big data in the context of marketing, management, and innovation strategy. Machine Learning algorithms and tools.
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Keywords: Big Data; Machine Learning; Analytics

February 2025
Teaching Note

Negotiating with Data: Analytics FC

By: Jillian Jordan, Livia Alfonsi and Anoushka Kiyawat

Teaching Note for HBS Case Nos 925-014 and 925-015. View Details

Keywords: Data; Analytics

July 2022
Teaching Note

eGrocery and the Role of Data and E-Commerce Analytics for CPG Firms

By: Ayelet Israeli

Teaching Note for HBS Case No. 521-077. View Details

October 2012
Article

Data Scientist: The Sexiest Job of the 21st Century

Key to the effective use of big data are the analytical professionals known as "data scientists," who can both manipulate large and unstructured data sources and create insights from them. Data scientists are difficult to hire and retain, but their skills will be... View Details

Keywords: Big Data; Data Scientists; Business Analytics; Analytics and Data Science; Mathematical Methods; Jobs and Positions

March 2018
Case

TrustSphere: Building a Market for Relationship Analytics

By: Boris Groysberg and Katherine Connolly Baden

Manish Goel was the CEO of TrustSphere, a seven-year-old company in the data analytics industry that focused squarely on relationship analytics, a space in which TrustSphere was pioneering a unique technology and solutions in the areas of sales, risk, and people... View Details

Keywords: Data Analytics; People Analytics; Talent Management; Human Resources; Networks; Relationships; Analysis; Employee Relationship Management; Core Relationships; Applications and Software; Communication; Technology Industry; Singapore

January 2021 (Revised March 2021)
Exercise

E-Commerce Analytics for CPG Firms (A): Estimating Sales

By: Ayelet Israeli and Fedor (Ted) Lisitsyn

The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details

January 2021 (Revised March 2021)
Supplement

E-Commerce Analytics for CPG Firms (A): Estimating Sales

By: Ayelet Israeli and Fedor (Ted) Lisitsyn

The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... 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

February 2018 (Revised December 2020)
Supplement

People Analytics at Teach For America (Data Set)

By: Jeffrey T. Polzer

This data set is a supplement to the People Analytics at Teach For America (A) case. View Details

Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting

January 2021 (Revised March 2021)
Supplement

E-Commerce Analytics for CPG Firms (C): Free Delivery Terms

By: Ayelet Israeli and Fedor (Ted) Lisitsyn

The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details

2013
Book

Keeping Up with the Quants: Your Guide to Understanding and Using Analytics

By: Thomas H. Davenport and Jinho Kim

Managers today need to be able to analyze and make sense of data. They need to be conversant with analytical technology and methods and to make decisions on quantitative analysis. This book offers a variety of practical tools and examples to improve a manager's... View Details

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

March 2020
Supplement

People Analytics at Teach For America (B)

By: Jeffrey T. Polzer and Julia Kelley

This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details

Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management

January 2021
Supplement

E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer

By: Ayelet Israeli and Fedor (Ted) Lisitsyn

The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details

Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Online Channel; Retail; Retail Analytics; Retailing Industry; Data; Data Sharing; Ecommerce; Assortment Optimization; Assortment Planning; Analytics and Data Science; Retention; Retail Industry; Consumer Products Industry; United States

January 2021 (Revised March 2021)
Exercise

E-Commerce Analytics for CPG Firms (C): Free Delivery Terms

By: Ayelet Israeli and Fedor (Ted) Lisitsyn

The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details

July 9, 2019
Article

Setting Better Sales Goals with Analytics

By: Doug J. Chung, Isabel Huber, Vinay Murthy, Varun Sunku and Marije Weber

Sales compensation is a critical lever in motivating a salesforce and driving growth in the business-to-business sector: Studies show that revising compensation in line with market trends can have a 50% greater impact on sales than advertisements have, for instance. A... View Details

Keywords: Analytics; Salesforce Management; Compensation and Benefits; Motivation and Incentives; Goals and Objectives

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Teaching Interest

Data Science and Artificial Intelligence for Leaders

By: Chiara Farronato

With artificial intelligence (AI)... View Details

Keywords: Data Science; Data Science And Analytics Management; Data Analytics; Data Analysis; Artificial Intelligence; Generative Ai; Generative Models

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... View Details

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

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April 2013
Case

Managing with Analytics at Procter & Gamble

By: Thomas H. Davenport, Marco Iansiti and Alain Serels

Senior management at P&G has put a strong emphasis on using data to make "better, smarter, real-time business decisions." The Global Business Services (GBS) organization has developed tools, systems and processes to provide managers throughout P&G with direct access to... View Details

Keywords: Analytics; Data Management; Forecasting; Shared Services; Procter ＆ Gamble; Laundry Detergent; Information Management; Forecasting and Prediction; Information Technology; Mathematical Methods; Consumer Products Industry; North America

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