DMZ Asia Pacific Program

Program at a glance

28-30 June 2021
Data Modeling Fundamentals

This workshop provides two days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. Case studies and many exercises reinforce and enable you to apply these techniques in your current projects.  

  • Understand the value that data modeling can deliver for your organisation. 
  • Determine how and when to use each data modeling component. 
  • Build relational and dimensional conceptual, logical, and physical data models.  
  • Incorporate supportability and extensibility features into the data model 

Venue: Melbourne Business School, Carlton 

30 June 2021
A Foundation or All Things Process: Modeling, Design and Architecture

Learn to develop a systematic business process architecture approach to model and redesign specific processes in your organisation. The workshop tackles traditional process management and the different emphasis on end to end data integrity that is required by a digital approach. It provides a solid basis for newbies and a great check-in point for architects, analysts, designers, and change practitioners. This workshop features: 

  • Several working sessions taking a case study through the stages of a process journey 
  • A high level of interaction with the facilitator 
  • Guidelines to assure your business will remain Agile during process development and redesign 
  • Techniques to get the culture to change and the solutions to stick! 

Venue: Melbourne Business School, Carlton 

30 June 2021
Becoming “Data Smart”: Data Literacy and Data Fluency

When consumers of data lack data literacy, they risk misunderstanding and misinterpreting reports and data visualisations. When data authors lack data fluency, they frequently produce reports and visuals that are easy to misunderstand. Come prepared to interpret, find meaning in, and critique several data communication products, and perhaps even to tell a data story well. You will Learn: 

  • Key concepts for data visualisation that prevent ambiguity and miscommunication 
  • How to do “quick reading” and “critical reading” of data visualisations 
  • How to craft storylines and narratives for data storytelling 
  • How to “listen to the data” when crafting a data story 
  • How to build a culture of data literacy and data fluency 

Venue: Melbourne Business School, Carlton 

Conference Schedule

Thursday, 1 July 2021
Innovations Stream Case Studies Tools Stream
7:00-9:00 Breakfast
8:30-10:00 Designing a Common Data Model in a Complex Enterprise
George Bassili, IMS
To be announced Connected Data Analysis Workshop: Fake news and Russian Twitter Trolls
Joshua Yu Neo4J
10:30-12:00 Complexity management business cases and modelling analytics environments
Lloyd Robinson,
Robinson Ryan
Data Modeling Case Study: A Public Sector Tale
Brad Steinke,
Bureau of Criminal Apprehension
GUI-Driven Data Modeling
Steve Hoberman,
Steve Hoberman & Associates
12:00-1:15 Lunch
1:15-2:30 KEYNOTE:

Digitalized Processes: Optimizing the customer experience through digital analysis and design

Roger Burlton, Process Renewal Group
2:30-3:00 Afternoon Break
3:00-3:45 PANEL: Data Modeling Approaches and Ways of Working
Dr Asif Gill, Roger Burlton, Roelant Vos
Hands-on Team Sessions
To be announced To be announced To be announced
Friday, 2 July 2021
Innovations Stream Case Studies Tools Stream
7:00-9:00 Breakfast
7:30-8:00 Measuring the impact of data governance
Selvaraaju Murugesan ACT Government
To be announced To be announced
8:30-10:00 The Art of Noise
Brad Steinke,
Bureau of Criminal Apprehension
Adaptive Enterprise Data Architecture
Dr Asif Gill,
University of Technology Sydney
Data Vault success? It’s all about the business (model)!
John Giles,
Country Endeavours
10:30-12:00 Become a data designer: What if your boss is an algorithm?
Andrew Smailes, Catapult BI
Roger Burlton, Process Renewal Group
“Oh, what a tangled web we weave…” Disentanglement to the Rescue.
Dr. Jonathan Gray,
Catapult BI
Same data, many interpretations. Managing incongruity between different model demands in a Data Warehouse
Roelant Vos,
Allianz Worldwide Partners
12:00-1:15 Lunch
1:15-2:30 KEYNOTE:

Introduction to Data Ops: Intelligent and Automated Data Operations

Dave Wells, Eckerson Group
2:30-3:00 Afternoon Break
3:00-3:45 PANEL: Practitioner’s Perspective on the Enterprise Data Model
Brad Steinke, John Giles, Dave Wells and others
Data Modeling Certification CDMP

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