David Wiebe has over 25 years of business experience in consulting, systems development and integration. He practices a solution architecture approach for designing and delivering information systems that use services and data architectures to implement business functionality. He is experienced in data modeling, business process management, database management and software development. He has worked in projects where strategic enterprise designs were implemented for large-scale application development efforts. He is an expert erwin user. David has created and evolved enterprise data and information models for the Commonwealth Bank of Australia, AMP, ANZ Bank, BT Financial Group, the Australian Tax Office, the Department of the Environment and Energy, the Australian Securities and Investments Commission and Queensland Government.
Book Review: Adaptive Cloud Architecture
By Dr Asif Gill
” We are starting to notice the transformative nature of cloud and digital business impacting both the supply side and demand side of the IT services marketplace…
The Gill Framework® addresses this emerging niche with the ‘Adaptive Enterprise Services System’ (AESS), a systems-of-systems framework. What sets the AESS framework apart from others is the practical application of the Adapting, Defining, Operating, Managing, Supporting (ADOMS) life-cycle management approach. Adapting to change, as a result of pressures of digital business and cloud, requires a new response with new capabilities around agile. This book is a body of knowledge which is a must have handbook for adaptive business and IT thinkers and leaders.”
Dr Pedro Harris
Executive Director, ICT Strategic Delivery
Department of Treasury, Office of Finance and Services, NSW
Tom Redman, the “Data Doc,” helps companies, including many of the Fortune 100, improve data quality. Those that follow his innovative approaches enjoy the many benefits of far better data, including far lower costs. His recent article, “Data’s Credibility Problem,” (Harvard Business Review, December 2013) showcases what’s possible. Tom’s “Data Driven: Profiting from Your Most Important Business Asset” (Harvard Business Press, 2008) is the guiding light for companies seeking to build their futures in data. Tom started his career at Bell Labs, where he led the Data Quality Lab. He has a Ph.D. in Statistics and two patents.
Lloyd has over 20 years of practical experience across strategic, architecture consulting and line management roles up to direct responsibility for a $50 million budget. He enables practical improvements to business and project execution across financial services, utilities, education and government.
Critical to his approach is not only his ability to “shape” a solution, but also the team and organisation to deliver it. He has worked across four continents including multilingual environments. He is trained in Benefits Management, ITIL, Enterprise Architecture, Program Management, Training and Counselling.
Peter Aiken’s book The Case for the Chief Data Officer has been published in China with the title: Chief Data Officer Combat!
Identify with that? The illusion to the classic 11th Century text, The Art of War, gives some insight into the depth of understanding and know how that Peter brings to his presentations.
Peter Aiken is widely acknowledged as a leading data management (DM) authority. He is a practising data consultant, author, and researcher, and he has been delivering high-performance solutions in DM for more than 30 years. His expertise is sought by some of the world’s highest profile organisations, and his achievements recognised internationally. Peter presented in Canberra in 2017 and his message was so on the mark for Chief Data Officers and their colleagues, we asked him to come back again is 2018.
[caption id="attachment_3234" align="alignleft" width="300"] Randy Bartlett[/caption]
“Randy Bartlett has written an important and useful book, filling at least some of the large void between books that exhort managers to think more analytically without explaining how, and overly technical books that only quantitative analysts would appreciate. Particular strengths are the recommendations about how to organize to integrate analytical expertise into decision-making and the guidance about how managers can assess whether they are getting good analytical advice.”
Douglas A. Samuelson, D.Sc., President and Chief Scientist, InfoLogix, Inc., Annandale, VA; quantitative analyst, inventor, entrepreneur and executive.
Steve Hoberman has trained more than 10,000 people in data modeling since 1992. Steve has written many books on data modeling including the bestseller Data Modeling Made Simple. One of Steve’s frequent data modeling consulting assignments is to review data models using his Data Model Scorecard technique. He is the founder of the Design Challenges group, Conference Chair of the Data Modeling Zone conference, frequent blogger, recipient of the 2012 Data Administration Management Association (DAMA) International Professional Achievement Award, and highest rated tutorial presenter at Enterprise Data World 2014 and 2015.