Wiley & SAS Business Series

The Wiley & SAS Business Series presents books that help senior-level managers with their critical management decisions.

Titles in the Wiley & SAS Business Series include:

  1. Agile by Design: An Implementation Guide to Analytic Lifecycle Management by Rachel Alt-Simmons
  2. Analytics in a Big Data World: The Essential Guide to Data Science and Its Applications by Bart Baesens
  3. Bank Fraud: Using Technology to Combat Losses by Revathi Subramanian
  4. Big Data, Big Innovation: Enabling Competitive Differentiation through Business Analytics by Evan Stubbs
  5. Business Forecasting: Practical Problems and Solutions edited by Michael Gilliland, Len Tashman, and Udo Sglavo
  6. Business Intelligence Applied: Implementing an Effective Information and Communications Technology Infrastructure by Michael Gendron
  7. Business Intelligence and the Cloud: Strategic Implementation Guide by Michael S. Gendron
  8. Business Transformation: A Roadmap for Maximizing Organizational Insights by Aiman Zeid
  9. Data-Driven Healthcare: How Analytics and BI Are Transforming the Industry by Laura Madsen
  10. Delivering Business Analytics: Practical Guidelines for Best Practice by Evan Stubbs
  11. Demand-Driven Forecasting: A Structured Approach to Forecasting, Second Edition by Charles Chase
  12. Demand-Driven Inventory Optimization and Replenishment: Creating a More Efficient Supply Chain by Robert A. Davis
  13. Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments by Gene Pease, Barbara Beresford, and Lew Walker
  14. Economic and Business Forecasting: Analyzing and Interpreting Econometric Results by John
  15. Silvia, Azhar Iqbal, Kaylyn Swankoski, Sarah Watt, and Sam Bullard
  16. Financial Institution Advantage and the Optimization of Information Processing by Sean C. Keenan
  17. Financial Risk Management: Applications in Market, Credit, Asset, and Liability Management and Firmwide Risk by Jimmy Skoglund and Wei Chen
  18. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection by Bart Baesens, Veronique Van Vlasselaer, and Wouter Verbeke
  19. Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven Models by Keith Holdaway
  20. Health Analytics: Gaining the Insights to Transform Health Care by Jason Burke
  21. Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World by Carlos Andre, Reis Pinheiro, and Fiona McNeill
  22. Hotel Pricing in a Social World: Driving Value in the Digital Economy by Kelly McGuire
  23. Implement, Improve and Expand Your Statewide Longitudinal Data System: Creating a Culture of Data in Education by Jamie McQuiggan and Armistead Sapp
  24. Killer Analytics: Top 20 Metrics Missing from Your Balance Sheet by Mark Brown
  25. Mobile Learning: A Handbook for Developers, Educators, and Learners by Scott McQuiggan, Lucy Kosturko, Jamie McQuiggan, and Jennifer Sabourin
  26. The Patient Revolution: How Big Data and Analytics Are Transforming the Healthcare Experience by Krisa Tailor
  27. Predictive Analytics for Human Resources by Jac Fitz-enz and John Mattox II
  28. Predictive Business Analytics: Forward-Looking Capabilities to Improve Business Performance by Lawrence Maisel and Gary Cokins
  29. Statistical Thinking: Improving Business Performance, Second Edition by Roger W. Hoerl and Ronald D. Snee
  30. Too Big to Ignore: The Business Case for Big Data by Phil Simon
  31. Trade-Based Money Laundering: The Next Frontier in International Money Laundering Enforcement by John Cassara
  32. The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions by Phil Simon
  33. Understanding the Predictive Analytics Lifecycle by Al Cordoba
  34. Unleashing Your Inner Leader: An Executive Coach Tells All by Vickie Bevenour
  35. Using Big Data Analytics: Turning Big Data into Big Money by Jared Dean
  36. Visual Six Sigma, Second Edition by Ian Cox, Marie Gaudard, and Mia Stephens.

For more information on any of the above titles, please visit www.wiley.com.

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