Data Quality Approaches for Business BABI 3000

Upon successful completion of this course, the student will be able to:

• Evaluate the quality of data in a business context using industry-standard tools and techniques.
• Identify common data quality issues and their impact on business decisions and strategy.
• Apply current data profiling techniques to gain insight into data structure, content, and quality in industry.
• Identify patterns, relationships, and anomalies using the best practices in industry.
• Implement standard data cleansing techniques to improve data quality and aid executive decision-making.
• Develop a basic data governance strategy to ensure data quality is maintained over time.
• Use common data profiling, cleansing, and standardization tools on real-world data.
• Analyze the current ethical and legal implications of data quality in industry.

Effective as of Winter 2026