Please note that the workshops are NOT held at Luna Park.
They will be held at Christie (100 Walker Street, North Sydney) which can be found here and is a 20 minute walk from Luna Park.
Establishing a Successful Data Governance Program
Success in data governance must include a solid technical approach as well as a deep understanding of human factors and tools and techniques for the behavioral, cultural, and human aspects.
This 1 day course provides a comprehensive approach for data governance including the technical perspective as well as the behavioral aspect. While providing a solid technical approach to the main functions of data governance, this course emphasize the behavioral side since this has been shown to be critical to success. It will include tools, techniques, case studies, and exercises as well as a seven step approach that has worked for many data governance programs.
It will cover technical aspects of data governance including how to:
• Develop a data governance charter and gain buy in
• Set up organizational structure, roles and responsibilities
• Gather data governance requirements
• Manage issues
• Define data and rules
• Develop and track metrics and measurements
• Define solutions including new processes, standard operating procedures, and policies
For each of these areas, the course will share important techniques, tools, and frameworks for success which involved the human aspects of data governance, namely, how to:
• Establish a clear, compelling, and common vision for data governance
• Maintain sponsorship
• Gain the trust of people involved
• Effectively communicate including communications plans and execution
• Gain true involvement and commitment
• Exemplify Leadership
• Effectively resolving conflict.
In addition to sharing a complete set of tools, techniques as well as case studies about what has worked and not worked, there will be fun and interactive exercises where participants can practice scenarios that commonly arise in data governance and apply the techniques, tools, and principles learned in this class.
Data governance overview
• Overview of data governance and a 7 step approach including major areas of data governance
• The real keys to Data Governance: The human and behavioral aspects
• Hands-on and interactive exercise illustrating the real keys
Setting up the program and developing a clear, common and compelling vision
• Setting up a data governance program
• The real key – establishing a clear, compelling, and common vision
• Creating a Darwinian program – How to create a clear, compelling and common vision
Establishing Roles and Understanding Motivations
• Organizational structure, roles, and responsibilities
• The human factor keys – Sponsorship and motivational modeling
• The sponsorship and motivational model
• Various frameworks, tools and techniques for motivating
Listening to the Real Needs for Data Governance in Your Organization and Effective Communications
• Gathering requirements for DG – Objectives, data, rules, processes, metrics, and priorities
• The real key – Effective ways to communicate
• Communications frameworks and ways to communicate
• Keys in effective communications
Managing Data Governance Issues and Developing an Environment of Trust
• Approaches and tools in identifying and managing issues
• The real key – how to develop the environment of trust so issues can be shared and openly communicated
• Core elements of trust
• Trust frameworks
Defining Data and Rules, and Conflict Management
• Overview of how to establish domains/subdomains and defining data and rules
• The real key – effectively managing conflict
• A conflict management framework
• Various approaches and tools to conflict management
Metrics, Measurements and Commitment
• Overview on developing and tracking metrics and measurements
• The real key – Gaining involvement and commitment
• How to get involvement
• How to get commitment
Defining Solutions and Leadership
• Overview on developing recommendations/solutions, policies, processes, changes to data
• The real key – Leadership
• Qualities of leadership
• Taking Risks and initiative
• How to apply the materials learned in this class to your organization
HALF DAY WORKSHOP 1
Practical Data Quality: Getting Back to Basics
Data Quality Management is a key component in getting data to become the corporate asset that is the lifeblood of most organisations. This workshop has been designed to allow for discussion on a number of key thoughts and ideas followed by group work and group feedback on each point. Sue asks delegates to consider whether DQ is important, how does it all fit together, do you have a DQ problem, why does it exist and finally a practical look at how to fix these issues and ensure they stay fixed. The workshop is extremely interactive and in creating groups of delegates from all areas of business, you get a look into the data quality pain points in other industries.
HALF DAY WORKSHOP 2
Conducting a Data/Information Management Maturity Assessment
Knowing how mature your organisation is and how ready it may be for a data and information management program should be high on your list of priorities. After all we have all heard “you don’t know what you don’t know” before, haven’t we? But – and this is the big one, how do you assess this maturity? Is there a magic bullet, a special methodology or a trusted approach that everyone uses? One that you can go and buy somewhere? Sue says she doesn’t know of one and has been working with clients over a number of years trying to perform that miracle. Sometimes it has worked and sometimes not! However, challenges are her bread and butter!
Join Sue on a journey to assess your maturity for Data and Information. But be prepared – there is work to be done and you will walk away at the end of the workshop with a maturity assessment of your organisation (or if you are a consultant with that of a client of your choice!). You will also walk away knowing that you can do this assessment again and again and again, over as long a period as you want to. Which will of course allow you to measure your success! Please bring along a PC, a tablet or if all else fails a Smartphone – with an internet connection.
Kimberly Nevala and Bree Baich
*Bree will be assisting Kimberly with the Workshop, please see below for more information
Visualize This: The Art of Data Storytelling
Big data. Data science. Data-driven decision making. Data monetization. Data governance. Data. Data. Data. Everyone’s talking about it. But, what story is your data telling?
This workshop will demonstrate how to bring your data to life through engaging, informative and compelling storytelling. You’ll discover the power of storytelling and the right – and wrong – way to utilize data to communicate effectively. The lessons in this workshop are grounded in theory, but made accessible through numerous real-world examples. Including some of your own!
Specifically, you’ll learn how to:
• Make the case for data storytelling in BI and analytics
• Examine the implications of your data from the point of view of various audiences and perspectives
• Accurately identify roadblocks to understanding or acceptance.
• Identify a common frame of reference for discussion.
• Think like a designer and utilize concepts of design in data visualization
• Highlight the most important aspects of your data [and let go of the rest]
• Create your own compelling (and true) data narratives in 4 simple steps!
• Apply tried and true best practices to create messages that resonate and inspire action
Together, the lessons in this workshop will help you turn your data into high impact visual stories that stick with your audience. Rid your world of complex analytic jargon and ineffective graphs, one exploding 3D pie chart at a time.
There is a story in your data and this workshop will give you the skills and power to tell it!
*Bree Baich is the Transmedia Mastermind for SAS Best Practices where she applies her design and storytelling skills to transform complex concepts into dynamic, thought-provoking narratives deployed through a variety of media. Bree is an expert on communication and training. She has written on the importance of and best practices for the effective use of transmedia and storytelling on forums including Social Media Today, DataVersity and All Analytics.
Doing EA: a maturity-based approach to enterprise-architecture development
Starting out in enterprise-architecture is rarely easy – and to keep going with it can be even harder. There are frameworks aplenty, but they can often seem large, cumbersome and unwieldy, offering too much of what we don’t need and not enough of what we do. Useful, yes, but surely there must be a better way? – and especially, a way that can fully engage people beyond IT in developing the enterprise-architecture?
There is. It’s called a maturity-model: a step-by-step guide to what to do, when, why and with whom, for what business-value at each stage.
In this practical, hands-on workshop we’ll explore:
• What a maturity model provides for architecture
• The difference between maturity-level and maturity-step – and why the latter is more useful
• What to do within each maturity-step, and what value it provides
• How to use a maturity-model to support digital-transformation and other major business change
The workshop will be valuable for architects and others with all levels of experience, and applicable for all types of architecture, from IT-only to whole-of-enterprise.
This workshop is based in part on Tom Graves’ book Doing Enterprise Architecture: process and practice in the real enterprise. Each workshop-participant will receive a free copy of the book.
IT Architect Certification Course
IASA’S Architect Core training provides an introduction to the tools, information, skills and terminology required to succeed as a professional architect. This course is designed to give you and your team all of the tools you need to lift architecture from a ‘documentation’ process to a true business capability.
All enterprise and technology architects will benefit from the concepts presented in this course. As well as any professional hiring or working directly with an architect.
By the end of this module, participants will have the knowledge and ability to:
• Automate key business processes
• Align communication across primary business units
• Identify internal and external business drivers
• Analyze business structures and segments
• Prepare for investment prioritization
• Map frameworks to an organization’s maturity level
• Manage an engagement model
• Create a stakeholder communication strategy