Part 1: Why Operational BI?
- What is operational BI?
- The different types of operational BI
   - Traditional data analytics
   - Event, web and stream analytics
- Real time or the right time for the business
- Architectural components of operational BI
   - The role of a traditional data warehouse
   - New components required for operational BI processing
- Extending the traditional BI environment to support operational BI
- Developing an operational BI strategy
 

Part 2: Using Operational BI: Techniques, Technologies and Products 
- A detailed look at operational BI
- Reducing the time to collect data and make decisions and take actions
- Operational BI using a traditional BI and data warehousing environment
- New operational BI techniques

   - Low-latency data analytics using traditional BI
   - Analyzing current data using data federation
   - Embedding BI services in business processes
   - Analyzing data in motion: process-centric event and web analytics
   - Industry direction: stream analytics
- The role of a services architecture, analytic platforms and cloud computing

- Customer case studies

Part 3: Getting Started with Operational BI
- Getting started with an operational BI project
- Building the business case
- Pitfalls and challenges
- Data quality considerations
- Best practices