Universities exist in an internationally competitive environment, and whilst the goal is not to increase profit, they have to increase the efficiency of operations and maximise the resources in an ever-changing landscape. The phrase “data is the new oil” is well accepted, but in the complexity of a modern university, such as the University of Queensland (UQ), it is no longer feasible to “speculate where to drill” for data. The talk will discuss how UQ stood up its central data lake using AWS Professional Services consultancy to achieve rapid deployment and how this is serving as a foundation for many new initiatives.
Presenter: David Stockdale, Deputy Director, Infrastructure Operations, University of Queensland
The Data Lake of The University of Queensland : Building the Foundations for a Data-Centric Organisation
1. The Data Lake
of The University of Queensland
Building the foundations for a data-centric organisation
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Information Technology Services
6,600
Full Time
Equivalent
staff (FTE)
2,800
Academic
3,800
Professional
53,500
Students
55%
45%
135
Countries
$2B
Income of approx.
(Research approx. $620M)
264,000graduates (since 1911)
The University of Queensland (UQ)
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Information Technology Services
Higher education sector
Education exports are
worth $28 billion a year
Education is Australia's largest
service export and third overall
behind iron ore and coal.
40 Australian universities
and 5 in top 50 of the world
The University of Queensland
is ranked 47 in the world
In 2017, UQ attracted almost $367 million
in research funding from government,
industry and community sources.
Australia is currently the third most popular
destination for international students in the
English-speaking world,
behind the United States and the UK.
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Information Technology Services
UQ IT projects
Some statistics Capital investments
Network infrastructureRoadmap
80K
Blackboard log-ins each day
4M
Lecture recordings watched each year
400K
Assignments submitted electronically
each year
300K
Assignments marked electronically
each year
$40M
year-on-year
capital investments
across nine portfolios
Professional services
External stakeholder engagement
Teaching and learning
Underpinning technologies
IT service delivery management
Cyber security
Governance
Information management
Network throughout UQ
100Gb 200Gb
Internet connectivity
Roadmap for our ERP stack replacements
3 Year
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Why a UQ data lake
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Information Technology Services
Vision
“Data analytics will facilitate the
transformation of data assets into
meaningful and useful information to
support University decision-making
and business performance analysis.”
Operations
“Make UQ a data-centric organisation”
“Make UQ into one
living laboratory for researchers”
Academic
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Articulate a strategy
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Information Technology Services
Goals
1. Democratised and governed
data analytics
2. Building the right data management and
analytics technology capabilities to
support value-driven decision making
3. Developing the talent needed to convert
data into business value
Endorsement from University
Senior Leadership Group
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Principles
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Information Technology Services
UQ principles Data lake design principles
1
Data should be discoverable and
available for analysis.
2
3
Analytics activities must be guided by the ethical
use of data and insights gained from it.
4
Access controls are designed to respect the
confidentiality of data and privacy of individuals.
Data is utilised as a strategic asset to derive
insights and support decision-making.
3
2
1
4
5
Secure by design
Don’t think “technology first”
Don’t “buy to grow into” – therefore cloud
AWS platform technologies only
“Take the algorithm to the data,
not the data to the algorithm”
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Next steps
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Information Technology Services
Strategy Proof of concept Executive buy in GovernanceDevelop use cases
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Use cases
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Information Technology Services
Data has the power to truly transform an institution.
Security, safety, compliance, and
fraud detection
Student at risk
detection
Energy intelligenceSpace optimisation
Curriculum
improvement
Identify potential donors and
industry collaborators
Evaluation of alternative
teaching practices
Research performance
and engagement
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Experiment with various AWS components/services
to fulfil requirements of all 8 use cases
Proof of concept
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Information Technology Services
Data
sources
Data
ingestion
Data
storage
Data
enrichment
Data
catalogue
Data
analytics
Data
visualisation
Focus on
7 categories
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High-level architecture for each use case
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Information Technology Services
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ResultsInformation Technology Services
Learning analytics
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ResultsInformation Technology Services
Space utilisation
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ResultsInformation Technology Services
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ResultsInformation Technology Services
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ResultsInformation Technology Services
Conceptual data model
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Great Partners
How did we achieve it
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Information Technology Services
Short engagement to establish
data lake
Longer engagements to deliver
“applications and dashboards”
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Great partners
How did we achieve it
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Information Technology Services
Enabled the project to return under
budget
&
Reinvest to deliver more business
outcomes
=
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Use cases
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Information Technology Services
Security, safety, compliance, and
fraud detection
Student at risk
detection
Energy intelligenceSpace optimisation
Curriculum
improvement
Identify potential donors and
industry collaborators
Evaluation of alternative
teaching practices
Research performance
and engagement
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Use cases
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Information Technology Services
Security, safety, compliance, and
fraud detection
Student at risk
detection
Energy intelligenceSpace optimisation
Curriculum
improvement
Identify potential donors and
industry collaborators
Evaluation of alternative
teaching practices
Research performance
and engagement
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Our journey
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Information Technology Services
Strategy Proof of concept Executive buy in GovernanceDevelop use cases
...
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Thank you
Dr David Stockdale | Deputy Director
Information Technology Services
d.stockdale@uq.edu.au
facebook.com/uniofqld
Instagram.com/uniofqld
@stock_dr
www.linkedin.com/in/dr-david-stockdale