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Data Quality Learning Path

The Data Quality course focus on the closed loop remediation of data that fails to meet a company’s data standards in an end-to-end process using the functionality of the Stewardship Tier’s Data Quality and Mass Maintenance.

Data Quality (DQ) Management

The Data Quality Learning Path comprises of eLearning courses – Stewardship Tier Essentials, Stewardship Tier Foundations, and Data Quality on the Stewardship Tier.

This diagram below illustrates the full Learning Path.

 

diagram Data Quality Learning Path

Course Description

Data Quality on the Stewardship Tier

Data Quality is the analytical component of the Stewardship Tier (ST) that facilitates reporting on and maintaining high quality master data.
The Data Quality on the Stewardship Tier course delivers an understanding of the importance of Data Quality and reviews the Stewardship Tier components that are part of the Data Quality solution. It then teaches how to organize and workflow delivered reports and how to create new reports and configure workflow.

Objectives 

Upon completion of this class, participants will be able to: 

  • Pull data from the ERP database on a scheduled or an on-demand basis to constantly review data, especially data that could cause a significant business process interruption. 
  • Establish data quality thresholds and view data quality scores and status.
  • Organize and display quality metric reports via web access or other formats for process improvement
  • Identify and send errors, via workflow notifications, to business users for cleansing
  • Deliver a standard set of Data Quality reports.
  • Create custom reports to fit their business 
Recommended

Experience with Stewardship Tier Framework Development and SQL Server Management Studio is helpful but not required. 

 

Prerequisites

The following courses are a prerequisite for this course: 

  • Stewardship Tier Essentials
  • Stewardship Tier Foundations
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