Data & Knowledge Engineering
School of ITEE

Data Quality Round Table Queensland

Convenor: Shazia Sadiq

The Data Quality Round table is jointly supported by The Unviersity of Queensland, Data and Knowledge Engineering Group and the International Association of Information and Data Quality, Asia Pacific Chapter.

The round table's goals include:

  • Provide a platform for exchange of experiences and knowledge
  • ›Build a community to share practical, current and common problems
  • ›Facilitate open and honest discussions
  • ›Ensure that topics are led by members
  • ›Promote Involvement of subject matter experts
  • ›Organize sessions that are discussion based rather than presentation based
  • ›Support consolidation and resource development based on collective knowledge

If you are intrested to join, please contact Shazia Sadiq



Member Profiles

coming soon ...


Session Details and Resources

2014, August 12th

John Owens spoke about "The DNA of Data Quality" at The Unviersity of Queensland.

Abstract: In this talk John starts off by giving a brief history of the importance of quality information in the success of enterprises across the centuries and how the introduction of commercial computerisation, paradoxically, left many enterprises worse off with regard to information quality. He describes the actions that many executives made that resulted in the huge advantages that computerisation offered being almost entirely offset by the information fragmentation these actions brought about. He discusses the key differences between data and information and how the lack of clarity on this point causes significant operational and quality problems for every enterprise. He then goes on to unveil his latest development in integrated information structures in enterprises that he calls ‘The DNA of Data’, which demonstrates:

·      How function and data are inextricably linked.

·      How data builds to information.

·      How data has structure and pattern.

·      How the structure and pattern of data are defined by function.

This highly innovative new approach will enable enterprises once again to put information centre stage in their operations, regaining the power that it brings and then harnessing the power of computing to magnify this exponentially, which was what should have happened two decades ago.

Speaker: John Owens is an international speaker, advisor, coach, mentor and writer on rapid business transformation, data quality and MDM. He is also a practicing consultant and in this role he works with two main sets of enterprises. The first set are those who are suffering the pains and losses caused by complexity or fragmentation in structure, process, systems or data. He helps them to remove this pain and loss by enabling them to achieve what he calls "power through accelerated integrated simplicity", using his innovative approach and highly effective techniques. The second set are those who are already performing well, but who want to raise their game to a whole new level. John’s unique insights and highly tuned techniques enable these enterprises to excel. He has worked with enterprises of all sizes, from family businesses to multi-nationals, in a wide range of sectors on both sides of the globe, including such names as Shell, BP, British Gas, Credit Lyonnais, London Underground, Oracle, etc. He is the creator of IMM the Integrated Modelling Method, on which he has written a series of five books, which have sold in over 16 countries.  His regular blog articles are read in over 150 countries.

2014, June 12th

Winner of the DQAsiaPacific Team Award Shane Downey, Mater Health Services, presented to the Data Quality round table. 

Shane Downey, Mater Health Services, Presenting at DQ Roundtable


Abstract: The introduction of the national pricing model for public outpatient services (what is referred to as Activity Based Funding or ABF) represented a real challenge to an organisation using best-of-breed health solutions. With data and information being captured in several key systems (i.e. separate Patient Administration Systems (PAS) for insured and non-insured patients, theatre booking and management systems, pathology, pharmacy, and oncology – the list goes on) how could Mater Health Services (MHS) meet this new requirement to provide accurate Patient activity data within the required timeframes? Our solution was to leverage our existing clinical data integration middleware platform, and utilising the principles and practices of Master Data Management, MHS have established a centralised ABF repository for reporting of all outpatient services. The benefits of this approach include a reduction in the amount of time required to prepare statutory reporting, a reduction in the amount of data quality errors, and opportunities for providing value added services.

Speaker: Shane Downey, Data Services Manager, Mater Health Services.Shane Downey is a dedicated and outcome focused Information Technology and business professional with an extensive track record of achieving business outcomes. He is recognised for significant contributions to a variety of organisations over a career spanning some 20+ years, including land information management, banking and insurance, finance and wealth management, retail, manufacturing, and healthcare. Shane possesses strong leadership and management practices, with a collaborative approach to achieving and exceeding goals, and mentoring and coaching to foster a culture of teamwork, enterprise and innovation.


2013, November 26th

Members of the round table proposed to discuss the topic of "Quantifying the Cost of Data Quality". We discussed how this problem relates to previous works on Infonomics (by Doug Laney) and also the challenges faced and hurdles overcome within member organisations on this issue. The key points included: how to develop mechanisms for packaging data quality together with business; how to create the evidence of impact of data quality improvements; and how to establish effective lines of communication.


2013, April 18th

We are delighted that Dr Thomas Redman, “the data doc”, will give a talk to the local data quality professional community. We aim to make this an informal discussion about things that are “top of mind” in data today. Tom will come equipped with a presentation titled “Organizational Imperatives in the Era of Big Data” that he gave as a Harvard Business Review webinar in December, 2012 and a dozen slides on building the business case for data quality. So bring your insights and questions, and let’s work together to make this a terrific session.

Dr Thomas Redman - Brisbane - April 18, 2013

Speaker Bio: Dr. Thomas C. Redman, is President of Navesink Consulting Group. He has helped hundreds of organisations understand the importance of data and start their data programs, resulting in big sustained improvements.  In doing so, they lower costs, increase revenues, improve customer satisfaction, and make more confident decisions. Tom is an internationally known lecturer and author of dozens of papers.  His fourth book, Data Driven:  Profiting from Your Most Important Business Asset (Harvard Business Press) is a Library Journal Best Business Book of 2008. He holds two patents. Prior to forming Navesink, Tom started and led the Data Quality Lab at Bell Labs where he and his team were first to extend quality principles to data and information.


 

 

2012, Dec 7th

The study of literature on data quality dimensions and metrics indicates a large number (100+) credible and diverse sources of this material. Staff and students at UQ have anlaysed this literature. There is a wealth of knowledge there which we are keen to share and get feedback on. Many of you had actually indicated that the topic of DQ dimensions and metrics will be of interest, and hence in this session we plan to have a discussion on the multiple interpretations of Data Quality Dimensions and how to make sense of what is relevant and applicable for your data quality problem. 


 

2012, May 31st

Danette McGilvray presented an overview of her Ten Steps Process to Quality Data and Trusted Information on May 31st, 2012 in Brisbane. The workshop was attended by over 30 data quality professionals from a variety of local organisations.

Danette McGilvray - Brisbane - May 31, 2012

Workshop Synopsis: Whether you are just starting your project or are already in production, it is not unusual to find that information quality issues prevent the company from realizing the full benefit of their investment in the new systems and business processes. If you are working on real data quality-related projects that need real results, the Ten Steps process is for you.  Join us to learn about a structured methodology for creating and improving data and information quality that applies to any kind of data in any industry – for-profit businesses, education, government, healthcare, and nonprofits.  All can benefit from what is learned here because all organizations depend on information to support what they provide. You will be introduced to key concepts such as the Framework for Information Quality and The Information Life Cycle. The Ten Step™ process which will help you Assess data quality and business impact, Conduct root cause analysis and implement controls, Communicate effectively throughout your project

Speaker Bio: Danette McGilvray is president and principal of Granite Falls Consulting, Inc., a firm that helps organizations increase their success by addressing the information quality and data governance aspects of their business efforts. and the human aspect of data quality and governance. Danette is the author of Executing Data Quality Projects:  Ten Steps to Quality Data and Trusted Information™ (Morgan kaufmann, 2008). An internationally respected expert, her Ten Steps™ approach to information quality has been embraced as a proven method for creating, improving, and managing information and data quality in the enterprise.  Her trademarked approach, in which she has trained Fortune 500 clients and thousands of workshop attendees, applies to all types of data and all organizations.