Drawing from new digital channels and increased data linkages
Dr. Ian OppermannNSW Data Analytics Centre
17th October 2017
Look at the world through the lens of
data
CONFIDENTIAL ‐ FOR INTERNAL USE ONLY
2NSW Data Analytics Centre
Data Science is ultimately about productivity
Digitise Link Model Predict Personalise
Understand
Predict“What If”
Evaluate
3NSW Data Analytics Centre
PoC• Proof of Concept• ~3 months• Demonstrate the
concept• May run in off-line
environment
Continuous delivery
MVU• Minimum Viable Use
Case• A partial product
which delivers real value but not yet sufficient for full delivery
• Runs in operational environment
• 6 months from PoC
Continuous delivery
MVP• Minimum Viable
Product• A product which is
delivered and meets multiple use case requirements
• runs in operational environment
Agile development and continuous delivery
4NSW Data Analytics Centre
7NSW Data Analytics Centre
A Machine Learning ApproachAll in 2011 and 2015, by suburb:• Sydney Water, connections and usage• Number of liquor licenses• AUSGRID connections• Building Sustainability index (BASIX)• Transport incidents and congestion• New ABNs• Births• Land and property information (LPI)
Total Dimensionality of X: 23
10NSW Data Analytics Centre
Areas which peak in daytime hours → COMMERCIAL or INDUSTRIAL
Areas which peak in bedtime hours → RESIDENTIAL
No peak on Friday and following Monday → GOOD FRIDAY / EASTER
RACE MEETINGS in RANDWICK
Step up in population in Randwick since 5 April → WHY?(School Term break: 9-25 Apr ?)
Overview of SA2 Total Pop dataAreas with low pop count
The project also seeks to develop a better understanding of the cohort of students undertaking courses offered by VET training centres by Region to
improve projections of skilled graduates in these Regions (“supply” analysis).
High Level Project Question“What is the alignment
between jobs and skills needed and the VET
courses offered?”
VET Outcomes
13NSW Data Analytics Centre
NSW Data Analytics Centre
•Cross Jurisdictional
Open data Framework
Governance Framework
Privacy Framework
Practical Data Sharing
Framework
Maturity Framewo
rks
Guidelines and
Recommendations
Advice to Govt and Industry
Common Lexicon
Common Framework for managing Personally Identifiable Information
Contributing to a Data Taskforce
17
Everything should be made as simple as possible, but no simpler.
Albert Einstein
Dr. Ian OppermannCEO and Chief Data Scientist, NSW Data Analytics Centre
Service and Digital Innovation | Department of Finance, Services & Innovatione [email protected] | www.finance.nsw.gov.auLevel 23, 2‐24 Rawson Place, Sydney NSW 2000