Event Name: Information Analyzer Data Quality Deep Dive
Event Date: December 15th, 2016
This presentation will provide an overview of the data quality functionalities of the Information Analyzer thin client.
We will begin the session by reviewing the data quality features of the Information Analyzer thin client, such as the data quality scores, the data quality findings and the data rules. Then we will discuss details about the types of data quality problems Information Analyzer can find automatically, how the quality scores are computed, and how you can control how the quality score is computed.
Who should attend this session? For all skill levels of current and prospective Information Analyzer users from both IT and line of business with a focus on data quality.
This topic will be presented by Yannick Saillet, Architect for Information Analyzer.