1. Day 1 Competing with Analytics
1.1. Session 1 Introduction to Business Analytics
1.1.1. Overview of Business Analytics
1.1.2. General Welcome & Introduction
1.1.3. Analytical Problems and Decision Making
1.1.4. Analytical Tools and Techniques
1.2. Session 2 Segmentation
1.3. Session 3 Predictive Modelling
1.4. Session 4 Campaigns
1.4.1. Intro to Campaign systems
1.4.2. Optimization
1.4.3. Integrating Campaigns
1.5. Tasks
1.5.1. Analytical Landscape Map
1.5.2. Design a Campaign
1.5.3. Segmentation Module
1.5.4. Quotient Survey
1.5.5. Predictive Modelling Module
1.6. Notes
2. Day 2 Online and Cloud Analytics
2.1. Session 1 Online Analytics
2.1.1. The Emerging Data Economy
2.1.2. Open Web Data
2.1.3. Corporate & Commercial
2.1.4. Analytical Tools and Techniques
2.2. Session 2 Analytics in the Cloud
2.2.1. Find, Share and Collaborate
2.2.2. Web Analytics
2.2.3. SAS on Demand
2.3. Session 3 Location and Mobile Analytics
2.3.1. Linking Mapping with Segmentation
2.3.2. Mapping in the Cloud
2.3.3. SAS for Mobile
2.4. Session 4 Analytics for Web Campaigns
2.4.1. Optimization
2.4.2. Customer Profiling
2.5. Tasks
2.5.1. Open Data Practicum
2.5.2. Web Analytics Practicum
2.5.3. Geo Segmentation
2.5.4. SAS Tutorials
2.6. Notes
3. Day 4 Analytics at Work
3.1. Session 1 Competitive Data
3.1.1. Analytics as a strategy
3.1.2. Key Competitive Data
3.2. Session 2 Data Privacy
3.2.1. Overview of Data Privacy
3.2.2. Privacy and the internet
3.3. Session 3 90 Day Project
3.4. Session 4 Value of Business Analytics
3.4.1. Opportunity & Value in Analytics
3.4.2. Opportunity Sizing
3.5. Tasks
3.5.1. Regulatory
3.5.2. Competition Design
3.5.3. Wish List
3.5.4. Funding Analytics
3.6. Notes
4. Day 3 Visual & Unstructured
4.1. Session 1 Effective Visual Analytics
4.1.1. Introduction to Effective Visual
4.1.2. Analytical Charts & Infographics
4.1.3. SAS Visual Tools
4.1.4. Analytical Tools and Techniques
4.2. Session 2 Qualitative Data Analysis
4.2.1. Analytics for Unstructured data
4.2.2. Market Research and Survey Analytics
4.2.3. Legal Analytics
4.2.4. Visualising Unstructured
4.3. Session 3 Semantic Web Analysis
4.3.1. Semantic & Social Web Analysis
4.3.2. Big Data Analytics
4.4. Session 4 Communicating Analytics
4.4.1. Communicating & interpretation
4.4.2. 90 Day Project Breifing
4.5. Tasks
4.5.1. Periodic Table
4.5.2. Dashboard Evaluation
4.5.3. Word Cloud Visuals
4.5.4. Reading the Boards
4.5.5. Social monitoring