Winning with Data Science

Unlock a clear path from data to decisive results with Winning with Data Science, a practical guide from Howard Steven Friedman and Akshay Swaminathan that translates advanced analytics into measurable business impact. Whether you lead a startup in Mumbai, a retail team in New York, or a data practice in London, this book shows how to turn data science into sustained competitive advantage.

Inside, discover concise frameworks for building a robust data strategy, prioritizing high-value use cases, and aligning machine learning with core business KPIs. Written for executives, product managers, and data practitioners alike, the authors combine real-world case studies across finance, healthcare, and retail with step-by-step approaches to model development, deployment, governance, and ethical considerations. You’ll find practical advice on bridging the gap between technical teams and business stakeholders, scaling solutions across regions, and accelerating ROI from analytics investments.

Packed with actionable insights rather than abstract theory, Winning with Data Science equips you to craft predictive models that matter, implement repeatable processes, and build cross-functional teams that deliver results in global markets—from North America and Europe to Asia-Pacific. Readers will leave with a playbook for prioritizing projects, measuring outcomes, and embedding a data-driven culture that drives growth.

For leaders who want to move beyond buzzwords to measurable outcomes, this is the essential, modern blueprint. Add Winning with Data Science to your bookshelf and start converting data into strategic wins today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.