Data Quality
Empowering Businesses with Analytics and AI
Created by Prashanth Southekal
Explore how strong data quality practices can transform analytics, AI, and business operations. Learn to connect business needs with trusted data, supporting better decisions and compliance. Gain practical skills for diagnosing issues and building sustainable data quality strategies.
Wiley | Sep 2026 | 304 min
What You Will Learn
You will move through a clear structure that starts with defining data quality in business terms and analyzing common challenges. Next, you will explore practical methods like profiling and tracing data lineage. Finally, you will design and sustain governance practices that keep your data reliable and secure.
Key Features
- Identify and address the root causes of poor data quality in business settings
- Apply data profiling and lineage techniques to improve analytics and AI outcomes
- Develop governance and protection practices that sustain high-quality data over time
Target Audience
Ideal for data leaders, analysts, governance professionals, business managers, compliance teams, architects, and those working with analytics or AI. If you want to improve operational results, support compliance, and make smarter decisions by enhancing data quality, this course is designed for you.
