Smarter Data Science
Succeeding with Enterprise-Grade Data and AI Projects
Created by Cole Stryker, Neal Fishman
Learn how to turn enterprise data into real business value by building a strong foundation for AI and analytics. Explore practical ways to organize data, improve governance, and make analytics accessible and repeatable across teams. Discover how to connect technical practices with business needs for sustainable results.
Wiley | Sep 2026 | 304 min
What You Will Learn
You will move step by step from understanding organizational readiness to mastering governance, data quality, and trust. Each section connects technical concepts with practical management strategies, helping you create repeatable processes that make analytics a core business capability instead of a siloed effort.
Key Features
- Build a repeatable data model that supports governance, trust, and business goals
- Develop organizational practices for AI readiness, quality, and transparent analytics
- Learn to democratize analytics and avoid common pitfalls in enterprise data projects
Target Audience
Ideal for data leaders, analytics managers, data scientists, project sponsors, and technology executives working with enterprise data and AI. If you are comfortable with data-driven business discussions and want to improve governance, trust, and repeatable delivery, you will benefit from these actionable strategies.
