Topic

Data & analytics

Artificial Intelligence: Marketing’s New Moment of Truth

Darden Professor Rajkumar Venkatesan proposes four steps for marketers to develop an AI “canvas,” through which they can deploy machine learning technologies to compete for customer attention.

5 Keys to Creating an A1 Analytics Culture

How successful firms use data: Car insurance comparison site Compare.com drove completion rates thanks to its analysis of customer behavior and web traffic. It serves as a case in point on the five key traits of organizations with exceptional cultures of experimentation.

Using Big Data: 3 Reasons It Fails and 4 Ways to Make It Work

Darden Professors Raj Venkatesan and Kim Whitler have found, in their research, seven key lessons that apply to all companies, whether they are “native” in data analytics or have transitioned into it.

Markdown Management: In Pursuit of the Optimal Discount

In new research, Darden Professor Manel Baucells argues that retailers can grow profits by cutting prices sooner and more deeply than conventional modeling suggests.

Long-Term Care Insurance: Who Should Care?

Considering the high probability that an individual will require long-term care in some form or another, is an LTC insurance plan the best approach?

How Consumers Think: A Model to Predict What They’re Willing to Pay

From a gym membership to a sandwich at the airport, it turns out the question “What are people willing to pay?” is complex. A new model will help companies and managers better account for the most prominent anomalies in consumer behavior.

Nudging the Entrepreneur Down the Startup Path

Research by Darden Professor Samuel E. Bodily suggests several new ways to encourage entrepreneurs teetering on the edge of launching a high potential startup but fearful of the financial risks involved.

Balanced Decision-Making and the Virtues of Ambivalence

Studies have shown that when people feel ambivalent and don’t know why, they’re prone to poor decisions. In a rush to end the discomfort of ambivalence, they fall back on biased assumptions, misinterpret facts or get sidetracked by irrelevant issues.

The Value of a Lifetime: Get and Keep the Right Customers

Customer lifetime value, or CLV, refers to the single lump-sum value a firm can presently apply to future cash flows derived from a customer relationship and is a critical metric in an age of ubiquitous subscription services.

How to Connect Analytics to Strategy to Avoid the Big Data Bridge to Nowhere

To transform into an organization that effectively bridges strategy and data analysis so that big data starts influencing execution, Professor Raj Venkatesan recommends businesses follow “five enablers of the data driven process.”