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Crafting the Business Case for Data Quality
Crafting the Business Case for Data Quality - on-line training class
 
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3.5-hour Online Course by Tom Redman
Single-user access license
Our Price: $355.00


Product Code: DQ-08-A


Course Exam [Add $100.00]

Description Course Outline Exam Details
 

Bad data harms almost all organizations, adding cost to operations, angering customers, increasing risk, and making it more difficult to craft and execute strategy. Good business cases help build support for the hard work needed to improve.

Two important components of a business case are Business Benefits and a Cost-of-Poor-Data-Quality (COPDQ) analysis. To be clear, assigning dollar values to some benefits and costs is extremely difficult. As Dr. Deming observed, "the true costs of poor quality are unknown and unknowable." Dr. Deming was referring specifically to manufacturing but, so far anyway, his insights have proven true for quantifying the cost of poor data as well.

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Critically a good business case engages both "the head and the heart," narrowing the focus to the benefits and costs that have the greatest logical and emotional appeal to the organization. For example, a company pursuing a strategy of customer intimacy may be far more concerned about costs associated with customer anger than increased operational costs. Finally, the business case must be sold in powerful ways.

This online training course offers a comprehensive analysis of benefits of high-quality data and costs of poor data quality, capped with the detailed process for developing and delivering a powerful and effective business case.


You will learn:
  • How to think through both the benefits of high-quality data and the costs of poor quality
  • How to distinguish costs that are estimable from those that cannot
  • How to perform cost-of-poor-data-quality (COPDQ) analysis
  • How to create a business case for data quality that engages both "the head" and "the heart"
  • How to deliver and sell business case for data quality

This course is geared towards:
  • Those tasked with getting a data quality program started, or advancing an existing program
  • Those who must build support for their data quality efforts
  • Those seeking to advance data quality in the face of indifference, tight budgets, opposition, etc
  • Data stewards and data quality professionals who want to better understand costs and benefits of data quality

Average Customer Review: Average Customer Review: 4.5 of 5 4.5 of 5 Total Reviews: 50 Write a review.

  0 of 0 people found the following review helpful:
 
5 of 5 Course Review from 2/12/2022 January 26, 2024
Reviewer: Dan Estep  
I enjoyed the insights and examples given in this course

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  0 of 0 people found the following review helpful:
 
4 of 5 Course Review from 6/3/2021 January 25, 2024
Reviewer: Charles Kirkland Jr  
Material delivery was clear and concise.  No recommended changes.

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  0 of 0 people found the following review helpful:
 
4 of 5 Course Review from 1/8/2021 January 25, 2024
Reviewer: Joy Jaucian  
What I like:  delivery of the course is very simple and easily understandable.  The practical examples resonate and it sticks to the mind.

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  0 of 0 people found the following review helpful:
 
5 of 5 Course Review from 10/23/2020 January 24, 2024
Reviewer: Alvin Lim  
Very comprehensive and shares actual examples. Maybe exercises can be incorporated along the way.

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  0 of 0 people found the following review helpful:
 
5 of 5 Course Review from 8/24/2020 January 24, 2024
Reviewer: Baby-Angeline Centeno  
I like how the course were broken down and how it was well explained by Tom. Improve on the presentation.

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