Data Preparation for Analytics Using SAS

Chapter 2

Characteristics of Analytic Business Questions

 

2.1 Introduction

2.2 Analysis Complexity: Real Analytic or Reporting?

2.3 Analysis Paradigm: Statistics or Data Mining?

2.4 Data Preparation Paradigm: As Much Data As Possible or Business Knowledge First?

2.5 Analysis Method: Supervised or Unsupervised?

2.6 Scoring Needed: Yes/No?

2.7 Periodicity of Analysis: One-Shot Analysis or Re-run Analysis?

2.8 Need for Historic Data: Yes/No?

2.9 Data Structure: One-Row-per-Subject or Multiple-Rows-per-Subject?

2.10 Complexity of the Analysis Team

2.11 Conclusion

 

2.1  Introduction

The business questions that are considered in this book need data in order to answer them. The need for data is therefore a common theme. There are also certain characteristics ...