Best Practices in Data Profiling and Cross-System Data Discovery

Webinar Abstract
Detailed profiling of the data in source and target systems is a prerequisite to successful projects for data integration, data quality, data warehousing, master data management, and so on. Yet, many technical users scrimp on data profiling by doing it rarely or shallowly, by profiling only known systems or small pieces of them, and by settling for profiles that not very insightful or actionable. These poor practices result in project overruns, the exclusion of important data, incomplete and inaccurate profiles, and severe productivity losses. Even seasoned data management professionals need to let go of the “worst practices” of data profiling and move on to the best practices of cross-system data discovery. This TDWI Webinar identifies areas for improvement in data profiling and explains how cross-system data discovery can take users to a new level of profiling excellence.

You will learn:

  • Common pitfalls to avoid in the current state-of-the art in data profiling
  • How to improve data profiling by evolving it into data discovery
  • How cross-system data discovery and data analysis gives you a far more accurate and actionable inventory of data assets
  • Software automation that makes data discovery faster and more accurate

Philip Russom, Ph.D.

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