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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 $80.00]

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: 4.5 of 5 Total Reviews: 11 Write a review.

  0 of 0 people found the following review helpful:
 
Course Review April 13, 2015
Reviewer: Alberto Gutierrez  
I like the course, the content, and the presentation given by the presenter.

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  0 of 0 people found the following review helpful:
 
Course Review March 4, 2015
Reviewer: Lizzette Joy Cabalang  
I like the PDF copy of the presentation material - helps to highlight key points, to facilitate subsequent review. I like that the training is on-line and can be completed at trainer's pace and schedule.

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  0 of 0 people found the following review helpful:
 
Course Review June 13, 2014
Reviewer: John McCaffray  
While I thought the course was good in terms of content and helpful in developing a DQ mindset, I felt it was also too long and tended to drift a little bit towards the end topics.

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  0 of 0 people found the following review helpful:
 
Course Review June 13, 2014
Reviewer: Jhomar Getizo  
The course gave me a practical insight of what I am doing right now on my project called "Cost of Poor Quality Data". It gave me a foot print/stepping foundation on how to envision the perspective, especially in preparing a good business case for the improvements.

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  0 of 0 people found the following review helpful:
 
Course Review May 30, 2014
Reviewer: Suresh Rajamani  
This course gave me a kick start about Data Quality and how to build the business case based on the Data quality. The course was transparent about the influencing factors that drives the Data quality in an organization and create interest to drive a program.

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