Prerequisite:   This course assumes understanding of relational database and data warehouse terms and concepts.

 

One-Day Course

You Will Learn

• The best practices for blending data mining, dashboards, scorecards, advanced visualization, and spatial data technology into your BI environments
• The core components to effective spatial analysis, data mining, dashboards/scorecards, and visualization applications
• Through extensive lab exercises, you will gain hands-on experience with leading BI tools, including:
• Microsoft Data Mining
• Microsoft Scorecard
Performance Program
• PolyVista
• Tableau
• How and when to effectively apply advanced BI technology in order to enhance your information content and analytical landscape

Geared To:

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

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 fill the gap, including data mining, dashboards/scorecards, 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
• Dashboards: Hyperion Intelligent Dashboard
• Scorecards: Microsoft
• Visualization: Tableau and PolyVista labs
• Spatial Analysis: ESRI Business Analyst lab

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