OCDQ Blog

Data profiling is a critical step in a variety of information management projects, including data quality initiatives, MDM implementations, data migration and consolidation, building a data warehouse, and many others.

Understanding your data is essential to using it effectively and improving its quality – and to achieve these goals, there is simply no substitute for data analysis.

Webinar

In this vendor-neutral eLearningCurve webinar, I discuss the common functionality provided by data profiling tools, which can help automate some of the work needed to begin your preliminary data analysis.

You can download (no registration required) the webinar (.wmv file) using this link: Adventures in Data Profiling Webinar

Presentation

You can download the presentation (no registration required) used in the webinar as an Adobe Acrobat Document (.pdf file) using this link: Adventures in Data Profiling Presentation

Complete Blog Series

You can read (no registration required) the complete OCDQ blog series Adventures in Data Profiling by following these links:

• Adventures in Data Profiling (Part 1) – Series Introduction 
• Adventures in Data Profiling (Part 2) – Customer ID and Gender Code
• Adventures in Data Profiling (Part 3) – Birth Date, Telephone Number and E-mail Address
• Adventures in Data Profiling (Part 4) – City Name, State Abbreviation, Zip Code and Country Code
• Adventures in Data Profiling (Part 5) – Postal Address Line 1 and Postal Address Line 2
• Adventures in Data Profiling (Part 6) – Account Number and Tax ID
• Adventures in Data Profiling (Part 7) – Customer Name 1 and Customer Name 2
• Adventures in Data Profiling (Part 8) – Series Conclusion