Prerequisite:Understanding of relational database and data warehouse terms and concepts

Business intelligence (BI) is well beyond the domain of traditional topics such as ETL and OLAP. Today, BI drives the information organization with technologies and techniques that allow the enterprise to glean actionable insight from volumes of disparate data, with near real-time refresh cycles.

This course starts by defining the promise of Business Intelligence and the gap that exists between what is promised and what is often implemented. The lecture portion of the course then sets out to identify the technologies and techniques necessary to not only fill the gap, including data mining, machine intelligence, advanced visualization and spatial analysis.

Hands-on exercises complement all lecture content. Throughout the course participants experience leading products, representing tangible evidence and applicability to enhance the informational content of any BI effort. Specific technologies include:

• Data Mining: Microsoft Data Mining lab
• Human-Machine Intelligence: Blaze Business Rule Engine lab
• Visualization: Tableau and PolyVista labs
• Spatial Analysis: ESRI Business Analyst lab

HandsOn-Business Analytics™ is designed to provide participants with a non-biased view of leading BI tools.

You will learn:

• · The best practices for blending data mining, machine intelligence, advanced visualization, and spatial data technology into your BI environments
• · The core components to effective spatial analysis, data mining, machine intelligence, and visualization application
• · Through extensive lab exercises, you will gain hands-on experience with leading BI tools, including:
  • Microsoft Data Mining
  • ESRI Business Analyst
  • Blaze Business Rule Engine
  • PolyVista
  • o Tableau
• · How and when to effectively apply advanced BI technology in order to enhance your information content and analytical landscape

Intended Audience

• · Anyone involved in the sponsorship, management, design, and construction of BI solutions for an enterprise

Please note that enrollment is limited to 30 attendees

     Course Outline >