Uniting data, reporting and analytics professionals across the University
Analytics, Planning and Data is proud to launch the Griffith Information and Analytics Community.
The first GIAC meeting was held on 13 November 2018. Participation from a wide range of information and analytical experts across the University will ensure the community's success. Guided by our terms of reference, GIAC seeks to solve common challenges, build relationships, share ideas and learn from each other and industry experts.
GIAC Launch - 13 November 2018
Griffith's first information and analytics community for people passionate about data was launched on Tuesday 13, November 2018.
Emma Liversidge, Director Analytics, Planning and Data, kicked off proceedings with a warm welcome to the 55 staff who attended, including a brief overview of the goals and aspirations of the Griffith Information and Analytics Community.
An informative and enthusiastic run down of the data lifecycle was given by Clancy Birrell, Manager Advanced Analytics, before attendees were given the opportunity to discuss the challenges and opportunities of each stage of the data lifecycle during the workshop session.
The workshop discussions were led by Subject Matter Experts from the Analytics, Planning and Data team. The feedback received was invaluable in identifying the tasks and challenges involved in Griffith's unique data lifecycle.
A copy of the presentation slides is available by clicking the button below.
Watch this space for more GIAC news, and updates on the next meeting in February 2019.
Hit 'Play' above to get a quick glimpse of the GIAC launch event
Feedback from the launch
Top answers for the most valuable part of the launch event:
Other top responses:
"Getting to meet all the other colleagues that are involved with data and information. It was interesting to brainstorm and discuss the various challenges and solutions we face in our day-to-day dealings with data."
"Discussing the tasks and challenges we face during the data life cycle as a community."
"The session was a catalyst that brought (and will continue to bring) the community together. It will contribute to collaboration and breaking down the silos."
Expression of Interest
If you would like to join GIAC , nominate a member, or just stay updated with GIAC developments, click the button below to register your interest.
Proposed terms of reference
The traditional model of higher education is evolving and Griffith recognises the need to move to a data-driven approach to remain competitive. For Griffith to position itself as an institution of educational excellence, we must be responsive to the growing demands of students for world-class programs, physical infrastructure and technology, develop our strength in research; and increase engagement with the University and local community. The growing need for collaboration across the University to share information and analytical insights allows us to maximise opportunities to attract and retain students, grow reputation and provide high quality services, resulting in improved decision making. The Griffith Information and Analytics Community was formed to promote collaboration and information sharing, and focus on all aspects of data, reporting and analytics, by bringing together key analytical experts from across the University. GIAC will support and provide guidance to the University to optimise the use of data analytics, in line with the goals set out in the University’s Strategic Plan.
Scope and objective
The objective of the Griffith Information and Analytics Community is to:
- act as an advisory across the University
- identify critical actions and potential enhancements to drive achievement of the University’s Strategic Plan
- identify and assist with the prioritisation of related activities to Executive and Committees
- play a key role in driving data management at the University to improve the insights generated from data, the quality of this data (consistent, complete and correct) and to ensure accessible, timely, reliable and valid insights
- build relationships between analysts in the University to promote information sharing and best practice
- establish a network to build and promote information literacy and capability across the University
- identify and promote subject matter experts across the University to provide a first point of contact for queries and advice
- share and distribute reporting and analysis.
Membership is open to analysts and subject matter experts (SMEs) in the University with an interest in developing the University data as a key strategic asset.
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