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Crafting the Business Case for Data Quality - on-line training class
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Crafting the Business Case for Data Quality
51 Reviews
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

Your Rating:
Rating:
51Reviews
Anuoluwa Olurinde 0 of 0 people found the following review helpful:
July 1, 2024

Course Review

I like the real life examples, it helped to understand the course better. It would be great to see an example of a completed business case.

Dan Estep 0 of 0 people found the following review helpful:
January 26, 2024

Course Review from 2/12/2022

I enjoyed the insights and examples given in this course

Charles Kirkland Jr 0 of 0 people found the following review helpful:
January 25, 2024

Course Review from 6/3/2021

Material delivery was clear and concise.  No recommended changes.

Joy Jaucian 0 of 0 people found the following review helpful:
January 25, 2024

Course Review from 1/8/2021

What I like:  delivery of the course is very simple and easily understandable.  The practical examples resonate and it sticks to the mind.

Alvin Lim 0 of 0 people found the following review helpful:
January 24, 2024

Course Review from 10/23/2020

Very comprehensive and shares actual examples. Maybe exercises can be incorporated along the way.


 
 

 
 

 
 

 
 

 
 

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