Need a copy of Executing Data Quality Projects? 

Available at the following locations or your favorite bookseller.

Amazon 

Morgan Kaufmann/Elsevier

Receive 30%* off Science and Technology print books and eBooks on Elsevier.com by using promo code COMP318. Offer expires 31 December 2018. * Discount is applied to list price. Excludes bundles, journals and Health Science books. Regional discount limits in Australia, New Zealand, Fiji and Japan apply. In addition, Elsevier.com offers a 40% discount when customers purchase a Science and Technology print book and eBook together as bundle. No promo code needed, prices on product pages reflect discount. Bundle option not available for all products. Discounts cannot be combined with other promotions and does not apply to previous purchases.

  

 

Ten Steps Book

"Danette's book takes a pragmatic and practical approach to achieving the desired state of data quality within an organization. 

It is a 'must-read' for any organization starting out on the road to data quality."

- Susan Stewart Goubeaux, Director, Business Intelligence, FHLBanks Office of Finance

Find out more...

 

 

3 Module Data Quality Online Training

Offered through DATAVERSITY Training Center

The Data Quality Learning Plan is a collection of three courses to build fundamental knowledge of a Data Quality Program. If all three courses are completed, a certificate of completion will be issued. 

Each Course Contains:

  •  A 55-80 minute educational training video
  •  Trainer: Danette McGilvray
  •  A 24 - 28 question exam
  •  Materials for each course will be made available to download once the exam has been completed

Click here to learn more about the 3 Module Data Quality Learning Plan.

Module 1: DQ1 Data Quality Essentials: What Everyone in Your Organization Needs to Know

Click here to learn more about Module 1.

It is important to understand:

  • Data is a vital asset to be managed
  • Data should be managed as intentionally as other assets in your organization
  • Basics about data quality that anyone in an organization should know

You will learn:

  • Definition of data and information quality
  • Importance of data quality to your organization
  • What impacts the quality of data
  • Who is responsible for the quality of the data and the roles they play
  • What you can do about data quality

Module 2: DQ2 Data Quality Components: Getting Started with Data Quality

Click here to learn more about this Module 2.

It is important to understand:

  • There are many pieces and parts to be managed to ensure high quality data
  • Both concepts and processes are necessary to be most effective in your data quality work

You will learn:

  • The Information Environment and its impact on data quality
  • The Framework for Information Quality - elements necessary for high quality data
  • The Ten Steps™ Process – practical, actionable guide to create, assess, and improve the quality of your data

Module 3: DQ 3 Data Quality in Action: Putting Data Quality Into Practice

Click here to learn more about this Module 3.

It is important to understand:

  • Activities impacting data quality take place throughout the organization and must be addressed in order to manage data quality well
  • How data quality is put into practice

You will learn:

  • Data Quality in Action Triangle – how DQ is incorporated into and carried out through programs, projects, and operational processes
  • Challenges and best practices as you implement and sustain your data quality work