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 3 Visual & Unstructured
2.1. Session 1 Effective Visual Analytics
2.1.1. Introduction to Effective Visual
2.1.2. Analytical Charts & Infographics
2.1.3. SAS Visual Tools
2.1.4. Analytical Tools and Techniques
2.2. Session 2 Qualitative Data Analysis
2.2.1. Analytics for Unstructured data
2.2.2. Market Research and Survey Analytics
2.2.3. Legal Analytics
2.2.4. Visualising Unstructured
2.3. Session 3 Semantic Web Analysis
2.3.1. Semantic & Social Web Analysis
2.3.2. Big Data Analytics
2.4. Session 4 Communicating Analytics
2.4.1. Communicating & interpretation
2.4.2. 90 Day Project Breifing
2.5. Tasks
2.5.1. Periodic Table
2.5.2. Dashboard Evaluation
2.5.3. Word Cloud Visuals
2.5.4. Reading the Boards
2.5.5. Social monitoring
2.6. Notes
3. Day 2 Online and Cloud Analytics
3.1. Session 1 Online Analytics
3.1.1. The Emerging Data Economy
3.1.2. Open Web Data
3.1.3. Corporate & Commercial
3.1.4. Analytical Tools and Techniques
3.2. Session 2 Analytics in the Cloud
3.2.1. Find, Share and Collaborate
3.2.2. Web Analytics
3.2.3. SAS on Demand
3.3. Session 3 Location and Mobile Analytics
3.3.1. Linking Mapping with Segmentation
3.3.2. Mapping in the Cloud
3.3.3. SAS for Mobile
3.4. Session 4 Analytics for Web Campaigns
3.4.1. Optimization
3.4.2. Customer Profiling
3.5. Tasks
3.5.1. Open Data Practicum
3.5.2. Web Analytics Practicum
3.5.3. Geo Segmentation
3.5.4. SAS Tutorials
3.6. Notes
4. Day 4 Analytics at Work
4.1. Session 1 Competitive Data
4.1.1. Analytics as a strategy
4.1.2. Key Competitive Data
4.2. Session 2 Data Privacy
4.2.1. Overview of Data Privacy
4.2.2. Privacy and the internet
4.3. Session 3 90 Day Project
4.4. Session 4 Value of Business Analytics
4.4.1. Opportunity & Value in Analytics
4.4.2. Opportunity Sizing
4.5. Tasks
4.5.1. Regulatory
4.5.2. Competition Design
4.5.3. Wish List
4.5.4. Funding Analytics