Predictive and Simulation Analytics

Deeper Insights for Better Business Decisions

Häftad, Engelska, 2024

Av Walter R. Paczkowski

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This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions.

Produktinformation

Utgivningsdatum2024-07-20
Mått155 x 235 x 22 mm
Vikt598 g
FormatHäftad
SpråkEngelska
Antal sidor370
Upplaga2023
FörlagSpringer International Publishing AG
ISBN9783031318894

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Walter R. Paczkowski earned his Ph.D. in Economics at Texas A&M University and has worked at AT&T's Analytical Support Center, Market Analysis and Forecasting Division, and Business Research Division. He was also a Member of the Technical Staff at AT&T Bell Labs before founding Data Analytics Corp., a statistical consulting and data modeling company, in 2001. Dr. Paczkowski is a part-time lecturer in the Department of Economics and the Department of Statistics at Rutgers University. He published six books in, what he refers to as, his Analytics Series. His latest are Business Analytics: Data Science for Business Problems (Springer, 2021) and Modern Survey Analysis: Using Python for Deeper Insights (Springer, 2022).

Part 1: The Analytics Quest: The Drive for Rich Information.- 1. Decisions, Information, and Data.- 2. A Systems Perspective.- Part 2: Predictive Analytics: Background.- 3. Information Extraction: Basic Time Series Methods.- 4. Information Extraction: Advanced Time Series Methods.- 5. Information Extraction: Non-Time Series Methods.- 6. Useful Life of a Predictive Model.- Part 3: Simulation Analytics: Background.- 7. Introduction to Simulations.- 8. Designing and analyzing a Simulation.- 9. Random Numbers: The Backbone of Stochastic Simulations.- 10. Examples of Stochastic Simulations: Monte Carlo Simulations.- Part 4: Melding The Two Analytics.- 11. Melding Predictive and Simulation Analytics.- 12. Applications: Operational Scale-View.- 13. Applications: Tactical and Strategic Scale-Views.

“Throughout the book there are extensive references to websites, in the form of footnotes ... . Examples, very detailed and very well explained, are often centered on business scenarios. The author recommends its use as a textbook in an academic setting. … this book makes for an excellent reference manual … this book offers an overall description of how business forecasts are made, helping them understand what they pay their data scientists for.” (Andrea Paramithiotti, Computing Reviews, March 19, 2024)