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Webinar: Conformed Dimensions of Data Quality – An Organized Approach to Data Quality Measurement

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To view just the slides from this presentation, click HERE>>

About the Webinar

Are you looking to measure Data Quality in a more organized way? Look no further, use the Conformed Dimensions of Data Quality to organize your efforts, improve communication with stakeholders and track improvement over time. In this webinar, Information Quality practitioner Dan Myers will present the Conformed Dimensions of Data Quality framework along with the complete results of the 3rd Annual Dimensions of Data Quality survey. This presentation will provide the first view of the 2017 results, and all attendees will receive the associated whitepaper free.

In this webinar you will learn:

  • Why organizations use the Dimensions of Data Quality
  • Why there are so many options, and what he recommends you use
  • 3rd Annual Survey data about how frequently organizations use the dimensions and specifically which dimensions are most used
  • Industry trends in adoption and more resources on the topic

About the Speaker

Dan Myers (MBA, IQCP) is the principal educator of Data Quality Matters (DQMatters.com), an eLearning company focused on providing information and data quality learning material. As an Information Quality practitioner, educator and thought-leader, Dan conducted a robust comparison of key IQ author’s lists of dimensions of data quality and proposed a way to align the data management community by using common definitions. In 2016, he proposed a standard for set of dimensions based on his research, called the Conformed Dimensions of Data Quality and published it on the Web (http://DimensionsOfDataQuality.com). For the last three years Dan has tracked interest in a standard and provided in-depth whitepapers on the topic. Previously Dan worked as an applications developer, data modeler, and manager of data governance/data quality. Dan’s fluency in Japanese enabled him to work in both the public and private sector in Japan.

 

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