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Data Quality Scorecard
Data Quality Scorecard - on-line training class
 
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5-hour Online Course by Olga Maydanchik
Single-user access license
Our Price: $515.00


Product Code: DQ-09-A


Course Exam [Add $100.00]

Description Course Outline Exam Details
 

Data quality scorecards have become very popular and many organizations are starting to build them. What they have found is that the path to a meaningful and useful DQ Scorecard is riddled with traps and obstacles.

This online training course gives comprehensive treatment to the processes and practical challenges of data quality scorecarding.

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It starts with a few real, live use cases that showcase what a scorecard can do for a company when done right. Systematic treatment of various DQ scorecard challenges is given. Then the course proceeds to the ins and outs of the successful DQ scorecard, from the underlying data model to the effective processes that need to be set up in order to produce the scorecard efficiently. Multiple examples to illustrate every important point are provided in the class.


You will learn:
  • The methodology behind data quality metrics calculations
  • The best way to organize data quality related metadata collected during typical data quality projects
  • Effective data visualization techniques to depict data quality measurements
  • Typical pitfalls that accompany data quality scorecard implementation and how to avoid them
  • How to achieve scorecard adoption and usage by the business users

This course is geared towards:
  • Data quality practitioners
  • Data stewards and data governance practitioners
  • IT analysts, business analysts, and everyone else involved in data quality management
  • Developers tasked with DQ Scorecard creation

Average Customer Review: Average Customer Review: 4.5 of 5 4.5 of 5 Total Reviews: 24 Write a review.

  0 of 0 people found the following review helpful:
 
4 of 5 Course Review from 12/16/2023 January 16, 2024
Reviewer: Marina Tkachenko  
Very applicable course materials, great delivery of the trainer.

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  0 of 0 people found the following review helpful:
 
5 of 5 Course Review from 12/7/2023 January 16, 2024
Reviewer: Ryan Hansen Reeder  
Can be a bit heavy to go through all the material and listen. Real life examples helped especially the business ones and made this course one of the more engaging ones so far and practical.

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  0 of 0 people found the following review helpful:
 
5 of 5 Course Review from 5/15/2023 January 16, 2024
Reviewer: R Vaikuntaramasubramanian  
Nothing in specific.

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  0 of 0 people found the following review helpful:
 
4 of 5 Course Review from 13/20/2023 January 15, 2024
Reviewer: Anthony McCray  
For my situation I'm using a commercially available DQ tool, so our metadata repository is set up and limited to that. A lot of content in this course related to the data model doesn't feel as relevant to me. I think it is conceptually useful.

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  0 of 0 people found the following review helpful:
 
4 of 5 Course Review from 2/3/2023 January 15, 2024
Reviewer: Aman Kumar  
Every topic was very well covered with relevant examples and process on how to build a scorecard.

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