In this interview, highly experienced Data Quality author and practitioner, Laura Sebastian-Coleman, provides a detailed account of her experiences in launching and growing a Data Quality Centre of Excellence (CoE) in a large organisation.

How do you get started with identifying the true causes of Data Quality Root-Cause issues?

This article examines 10 techniques that are proven to help you get to the heart of your data quality issues and move from a reactive to proactive and longer-term defect elimination.

In this paper, Sundara and Sankara provide a practical guide for implementing data quality as a service via a cloud based architecture.

Easily one of the single biggest causes of data defects in any organisation is poor quality information entered at the start of the information chain via data entry interfaces.

This article provides some simple, practical and cheap techniques to dramatically improve the data quality of human entered information.

With her extensive experience in leading Data Quality and Governance initiatives in different domains, Purvi Ramchandani describes ten situations when Data Quality and Data Governance initiatives have a higher probability of failure.

What should a Data Governance Manager do in their first 6 months?

Find out how to plan your DG activities with Nicola Askham, ‘The Data Governance Coach’

During this webinar recording, experienced Data Quality practitioner James Phare of UK based Data to Value demonstrates how a Lean approach leveraging Data Prototyping can be used to simultaneously address Data Quality issues whilst progressing wider project requirements.

In this video tutorial by Dylan Jones, editor of Data Quality Pro, we learn of an effective data quality assessment strategy that was able to create high impact ‘data quality stories’ often within one day.

Data Profiling vs Data Quality Assessment - what’s the difference?

A common problem we see in data management circles is the confusion around what is meant by data profiling as opposed to data quality assessment.

How do you create traction with data governance and data quality when your organisation is wary of these initiatives due to past historical projects that didn’t live up to expectations?

In this interview, Nicola Askham, The Data Governance Coach, talks at length about her career in Data Governance.

Nicola discusses how she has transitioned from being a permanent employee to running her own data governance practice as well as operating in both the commercial and public sector.

What is it like to lead a large data quality program in a large banking institution?

In this interview we speak with Purvi Ramchandani, Data Quality Lead at Silicon Valley Bank to learn more about her experiences and progress in delivering an enterprise data quality initiative.

Laura has been featured on Data Quality Pro in the past so we asked members what they were struggling with and put their questions to Laura.

In this interview she goes in-depth on how to improvement measurement and assessment to help you create greater Data Quality success.

In this post, senior consultant at EWSolutions, Pete Stiglich, presents an excellent account of the importance of Conceptual Data Modeling on ensuring information quality.

A key element of any data quality or data governance initiative is defining the boundaries of ownership and stewardship of data. To help you create the guidelines in your organisation check out this resource courtesy of the Forestry, Lands and Natural Resource Operations Ministry in B.C, Canada.

The reality is that all organisations possess data quality rules but they’re typically scattered widely across the organisation with no thought to standardisation, governance and re-use.

The following resources will help your organisation buck that trend adopt data quality rules management habits and best-practices.

In this interview with expert Mark Allen we explore how various business and IT alignment issues impact ability to successfully execute enterprise data governance and data quality programs. Mark also provides insights for how to address these alignment issues.

Enterprise Data Quality Management – this is the ultimate data quality challenge but where do you start to manage such a vast, complex initiative?

Jay Zaidi of Fannie Mae was recently interviewed as he and his team have helped to deliver a successful Enterprise Data Quality initiative in one of the largest organisations in the world.

Guy shares a series of practical tips and advice for anyone looking to not only embark on their data governance journey but achieve it in one of the sectors not always associated with data quality and data governance initiatives.

If you are on the road to data quality and governance maturity then you will need to hire a Data Quality Analyst at some point. This resource is designed to make that process painless by providing a superset of data quality skills and sections that are typically required for a Data Quality Analyst Job Description.