Prerequisite:   This course assumes basic understanding of BI and data warehousing fundamentals.

 

One-Day Course

You Will Learn

• How to define and conduct a data quality audit, rule-based audit (RBA), and proof-of-concept (POC)
• About technology that facilitates Rule-Based Audit (RBA) and Proof of Concept (POC) efforts, including Business Rules Engine and DMExpress
• How to use the technology in sample audit and POC applications

Geared To

• Business sponsors
• BI program managers
• BI project managers
• Architects, designers, and developers of BI systems

BI projects are peppered with risks, from data quality to integration, from applicability to analytic value. These risks often bring entire projects to a halt, leaving planners scrambling for cover, sponsors looking for remedies, and budgets wiped out. Conducting a rules-based audit (RBA) or proof-of-concept (POC) is done in order to get answers, to add clarity, and to understand scale and scope of the project at hand—essentially, to mitigate risk.

Course Outline

This workshop is divided into two tracks—lecture and lab. The lecture portion is outlined below:

1. Risk Mitigation

2. Rules Based Audit

• Definition
• Steps
• Outcome

3. Proof-of-Concept

• Definition
• Steps
• Outcome

4. When to Apply RBAs or POCs

The lab track has two objectives:

1. To introduce participants to technology that facilitates RBA and POC efforts, including: Business Rules Engine and DMExpress

2. To engage participants by using the technology in sample audit and POC applications