Data-Driven Decision-Making: Business Analytics for Managers

ABOUT THIS BOOK
The gap between having data and using it well is not a technical problem. It is a leadership problem. Organizations generate more data than ever — yet consequential decisions are still made on habit, hierarchy, and hunch. The bottleneck is not a shortage of data. It is a shortage of managers who know how to ask the right questions of it. This is not a programming textbook. What students will learn is how to lead — evaluating analytics capabilities, turning data into competitive advantage, interrogating AI-generated recommendations, and communicating insights that move decision-makers to action. Spanning four parts designed for both intensive and traditional MBA schedules, the text moves from data foundations through descriptive, predictive, and prescriptive analytics, into machine learning and generative AI, and finally to the governance, ethical, and cultural challenges of using data well — and responsibly.

Book details

• Author: Dan Sloan
• Publisher: Stargate AI Publishing
• Edition: 1st Edition
• eText ISBN: 9781972405079
• Print ISBN: 9781972405079
• Format: Reflowable Layout
• Language: en
• Copyright: 2026