Good data drives good business. Organizations that are dependent
on data for business decision-making require data that is accurate, timely, consistent and reliable. In addition, those needing to comply
with regulatory screening or other data matching requirements must know that the condition of their data is suitable to perform accurate matching and linking analysis. Profiling your data can help you achieve these goals.
i/Lytics Data Profiler is a Web services-enabled automated source
data profiling solution that offers enhanced performance, flexibility,
and enterprise-wide usability. It provides tools and processes for collecting, analyzing and understanding the condition of critical data. Among the capabilities that allow you to uncover and correct anomalies that could create difficulties in your data-dependent projects are Join Analysis, Redundancy Analysis, Dependency Analysis and various Statistical Analyses.
This class is for anyone who is:
•
A current user of i/Lytics Data Profiler who would like to enhance their skills and maximize their investment
•
Interested in gaining detailed knowledge and hands-on application of i/Lytics Data Profiler
•
Interested in gaining knowledge of Data Profiling practices
•
Ready to begin a data migration or integration project that depends on data usability
•
About to begin a project that depends on multiple data sources
•
Concerned with Data Quality and consistency
•
Considering or evaluating a Data Profiling solution or interested in learning more about Data Profiling
•
Interested in a Total Data Quality solution
What will be covered:
•
Introduction to Data Profiling and its uses
•
Overview of setting up and monitoring i/Lytics Data
Profiler workflow
•
Reviewing data profiling results
•
Join and redundancy analysis
•
Dependency testing and reviewing results
•
Managing data profiling, including auditing and reports
