The Center for Creative Leadership

Srikant M. Datar; David A. Garvin; Carin-Isabel  Knoop

Case | HBS Case Collection | February 2008 (Revised May 2009)

The Center for Creative Leadership

by Srikant M. Datar, David A. Garvin and Carin-Isabel Knoop

Abstract

The Center for Creative Leadership (CCL) was founded in 1970 on the notion that leadership was not innate but could be learned. CCL evolved into one of the world's top leadership development organizations, involved in both research and program design and delivery. This case explores CCL's approach to leadership and management education for executives and presents some of the challenges the CCL faces as many different types of leadership development providers continue to emerge.

Keywords: Competency and Skills; Learning; Training; Leadership Development; Personal Characteristics;

Format: Print

27 pages

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Citation:

Datar, Srikant M., David A. Garvin, and Carin-Isabel Knoop. "The Center for Creative Leadership." Harvard Business School Case 308-013, February 2008. (Revised May 2009.)

St. Camillus is a fictional non-profit hospital in rural Maine facing a serious budget deficit. As Director of Marketing, Victoria Stern is building a team to modernize the hospital fundraising efforts. An interview with a promising candidate who is also a digital native forces her to confront shifting attitudes toward issues of data and privacy across generations against the backdrop of continued cybercrime and data breaches within the healthcare industry. Students grapple with the tension between data as "useful" or private within an organization. In this context they explore the ethical issues they will face around data security and data governance in their roles as managers.

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 case was written for the second-year MBA course “Managing with Data Science.” The course provides MBA students with no programming experience an introduction to the field of data science and its applications in business. Students learn to (1) carefully articulate the business ask, (2) reason carefully from the ask; through metrics and models, and outputs; and (3) evaluate outputs from models to (4) develop a plan for action.

Case | HBS Case Collection | August 2018 (Revised September 2018)

LendingClub (A): Data Analytic Thinking (Abridged)

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 grades and sub-grades to each application using its own risk evaluation model, it also makes detailed data on each loan application available to both kinds of investors for their own analyses.
The case follows MBA graduate Emily Figel as she researches LendingClub as a potential investment vehicle for the small wealth management firm she will join in the fall. Using LendingClub’s historical data, she learns the fundamentals of predictive analytics to see whether she can build models to predict whether a borrower will repay or, ultimately, default on the obligation.
This first case (A) presents students with relevant, detailed data about how the LendingClub model works. This includes LendingClub’s business model, the grading of loans, the unique opportunities and risks. It also follows Figel as she dives into the data to use it to build a model. In the B and C cases, Figel explores several specific techniques for training models.
Technical topics include: understanding the data, data preparation, balanced and unbalanced data sets, constructing training-validation-holdout sets, cross-validation, predictions and target leakage.

Keywords: data science; Data Analytics; Investing; loans; Investment; Financing and Loans; Data and Data Sets; Analysis; Forecasting and Prediction; Business Model;

Citation:

Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (A): Data Analytic Thinking (Abridged)." Harvard Business School Case 119-020, August 2018. (Revised September 2018.) View Details

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