Data governance: Sydney, 1–2 July 2019
July 1 @ 9:30 am - July 2 @ 5:00 pm
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As data becomes more and more critical to the effective operation of organisations and to their performance in an increasingly competitive landscape, the efficient and effective management of that data becomes crucial. Data governance refers to the processes and skills required to effectively manage data, whether big or small, traditional or digital.
This two-day course provides an informed, realistic and comprehensive foundation for establishing best-practice data governance in your organisation. Suitable for every level from chief data officer (CDO) to executive and data steward, this highly practical course will equip you with the tools and strategies needed to successfully create and implement a data governance strategy and roadmap.
- What is data governance? What is included and excluded from this responsibility?
- Why data governance matters
- Data governance in context: Understanding data
- The data governance framework
- Data lineage and metadata
- Data availability and access
- Data security
- Data usability and critical assets to support usability
- Master data management
- Data integrity
- Data governance and the new realities (big data, data lakes, data science)
- Organisational structures to support data governance: Various models
- Steps to implementing data governance
The instructor: Mark Burnard
Mark Burnard is a keynote speaker, trainer and consultant, specialising in information management, data strategy and data governance. Mark has over 25 years’ experience in various data related roles, and has delivered courses and keynotes on data governance, data management, big data, analytics, and the future of information. Mark is also the author of Presciient’s Data Governance bootcamp.
Mark has worked in countries across the Asia-Pacific region in verticals including banking and finance, education, airlines, utilities, telco, insurance, retail, and government..
Earlybird pricing is available until 18 June 2019.
Group discounts also apply during the earlybird period: 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Select your desired quantity of tickets and click “Add to cart” to see the discount calculated before checkout.
About our training
Eugene Dubossarsky’s courses are unlike those offered in universities, online, or by private providers. His data-science classes, in particular, give clients not just knowledge of a process, but the real power of understanding the underlying concepts, allowing them to confidently practice, manage, promote and risk-assess data science.
Dr Dubossarsky says “the way many courses teach data science is like teaching people to memorise and recite poetry in a language they do not understand”. By contrast, he confers an understanding of that language, taught in an intuitive, accessible way that leaves trainees with an instinct for data science. Keeping formulae and mathematics to a bare minimum and taking an intuitive, visual approach, Eugene’s courses deliver a compressed mentoring experience as much as they do content. This is difficult for an average trainer to replicate. Trainees benefit from his extensive knowledge and over 20 years of commercial data-science experience, as well as his unique teaching style.
The resulting testimonials speak for themselves, and candidates come from all walks of life: CEOs, general managers, salespeople, IT professionals, marketing staff, public servants and of course people from many functions in the finance world. These testimonials are extensive, and many more are available on request. With specific regard to finance, Eugene has mentored and advised senior leaders and their teams in a number of major Australian banks.
Having studied stats at Uni I was surprised how far the field has progressed in the last few years, particularly in the area of big data. The great thing about Eugene’s course is I left with a sense that I was up to date with the latest big data modelling concepts but more importantly could also deploy them with some confidence using R. Eugene also made it clear he was available to answer questions after the course, so you are not left hanging. I would absolutely recommend this!
—Damon Rasheed, CEO, Rate Detective
Questions and further details
Meals and refreshments
Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.
Use email@example.com to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability.
If you would like to attend but for any reason cannot, please also let us know.
Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.
Cancellations and refunds
You can get a full refund if you cancel 2 weeks or more before the course starts. No refunds will be issued for cancellations made less than 2 weeks before the course starts.
Frequently asked questions (FAQ)
Do I need to bring my own computer?
There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.
I'm lost! How do I find the venue?
Presciient training, coaching, mentoring and capability development for analytics
Please ask about tailored, in-house training courses, coaching analytics teams, executive mentoring and strategic advice and other services to build your organisation's strategic and operational analytics capability.
Our courses include:
- Predictive Analytics, Machine Learning, Data Science and AI
- Data Literacy for Everyone
- Introduction to R and Data Visualisation
- Introduction to Python for Data Analysis
- Forecasting and Trend Analytics
- Advanced Machine Learning Masterclass
- Advanced Masterclass 2: Random Forests
- Advanced R
- Quantum Computing
- Text and Language Analytics
- Fraud and Anomaly Detection
- Introduction to Machine Learning
- Introduction to Data Science
- Kaggle Boot Camp
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For any enquiries, please call +61 4 1457 3322.
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