SSAS 2014, Part 10 of 10: Data Mining

Data Mining is an analytical process to explore data looking for patterns. In this course, you will learn how to create a model from a data source and by using data sets and SQL Server Data Tools analyze data. By using business questions like "what customers may be inclined to buy a product" or "how products are grouped" to looking for patterns of fraud, business analytics are a powerful tool to both examine data and look for predictions. Finally, when Data Mining should be used vs a Lift chart will explained giving you power choices in getting control of your data.

Lesson 1:

• Mining Concepts
• Terminology
• Business Questions
• DMX Language
• Other Algorithm
• Demo: Data Mining
• Demo: Mining Views.

Lesson 2:

• Create a Mining Structure
• Predict to Buy Product
• Look at Data
• Model to Use
• Demo: Create a Model
• Demo: Data Mining Wizard
• Demo: Data Mining Wizard Cont.
• Modify/Review a Model
• Add Mining Model
• Review Cluster
• Other Cluster Views
• Demo: Adding More Algorithms
• Demo: Clusters.

Lesson 3:

• Add Filters
• Accuracy Chart
• Demo: Filter
• Use Data to Predict
• New Data
• Plug Into Model
• Run and Analyze
• Demo: Predict Based on a Model.