Managing Time Series Data Quality for Business Data Owners and PI Administrators

Real-time data must meet sufficient quality criteria to transform from data to business intelligence that delivers tangible value.  This lab outlines the basic categorization of data quality; various methods to measure and monitor your data quality; and the organization framework required to institutionalize data governance.  This lab should be of particular interest to data system administrators, IT management, and business owners depending on real-time data for daily operation.

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Objectives 

In this lab, you will learn about:

• Data Quality (of course), including its value, its definition and how to achieve data quality
• Key concepts around Data Quality Monitoring
• Practical (hands-on) examples of
  • Monitoring System Health
  • Performing Simple Error Analysis
•   Concepts around advanced methodologies of Data Quality Monitoring