Abstract
This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life example of how business analytics have been used in various aspects of organizations to solve issue or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes.
| Original language | American English |
|---|---|
| Publisher | Springer International Publishing |
| Number of pages | 205 |
| ISBN (Electronic) | 9783030140380 |
| ISBN (Print) | 9783030140373 |
| DOIs | |
| State | Published - Jun 1 2019 |
ASJC Scopus Subject Areas
- General Engineering
- General Computer Science
- General Economics,Econometrics and Finance
- General Business,Management and Accounting
Keywords
- Applied Data Analytics Textbook
- Building Analytics Models
- Business Analytics
- Complex Analytics Model
- Data Mining
- Decision Trees
- Machine Learning
- Neural Networks
- Predicative Analytics
- Real-Life Business Analytics Examples
- Sas Enterprise Miner
- Supervised Learning Unsupervised Learning
- Using Analytics Models
Disciplines
- Digital Communications and Networking
- Categorical Data Analysis