About Us

Dan Myers

Dan is an information strategy and management thought-leader with a unique background composed of experience in international business, consulting, marketing, and information technology.

Dan has experience consulting clients and conducting operations in the following industries: Insurance, Loan Origination & Non-performing Loan Management, Marketing Research, Gifu Prefecture (Japan), Health Care and more.

Dan brings an out-of-the-box style of thinking that integrates best practices with common sense solutions that incorporate all stakeholders providing cost effective long-term outcomes. Dan can bridge technological and non-technical worlds by creating channels of communication because he seamlessly draws on his technical experience and top-rate business education.

Giving back to the community is important to Dan. In the past he has contributed his resources to a number of organizations including: Sacramento Professionals Network, The American Marketing Association, Japan Exchange Teacher (JET) program, Seventh-day Adventist (SDA) church, Metadata Professionals Organization (MPO), Tozai Gagakuen Japanese language school (board member), and IQ International [IAIDQ] (IQCP Former President).

Dan's Role in the Development of the Conformed Dimensions of Data Quality (CDDQ):

After attending a number of data management conferences, where Dan heard a number of professionals use terms such as Integrity, Accuracy and Currency/Timeliness to mean different things, he began to look for a detailed and agreed-upon standard set of definitions for the dimensions of data quality. What he found was a few great academic studies on the topic that have proposed a list of dimensions1, a series of author’s lists2, and a few sets of dimensions documented by professional organizations3

What he discovered was that no two sets of dimensions were in agreement on what should be included within a set of dimensions and most lacked complete and verbose descriptions. So, in 2013, he wrote a series of six articles reviewing four authors and two organization’s list of the dimensions of data quality. This effort did reveal similarity in some areas, (e.g. Completeness and Validity) and the need for a conformed version that brings together the best of each. 

In 2016, Dan enhanced the conclusions made during the prior work in 2013 and published a proposed set of Conformed Dimensions of Data Quality (CDDQ) on this website for others to use, leverage during future research/study, and most importantly use on a day-to-day basis to communicate data quality issues. Since the release in 2016, Dan has presented on this topic at conferences in the USA and Japan and at companies in the USA. Dan also conducts an annual survey on the topic of the dimensions of data quality in order to foster further development and understanding.


1. Wang and Strong (1996), Batini et.al. (2009), For a more complete list see our research page

2. English (1999 and 2001), Redman (1996 and 2001), McGrilvray (2008), Loshin (2009), Lee/Papino/Funk/Wang (2006)

3. Data Administration and Management Association (DAMA) DMBOK (2009), TDWI- Data Quality Fundamentals (2011)