dw/bi: driving institutional adoption through academic ... forum 2014/2014sig... · increase use of...
TRANSCRIPT
DW/BI: Driving Institutional Adoption through Academic Processes
Togamau Te’o & Robert Wood
Introduction
About us
Why we’re here today?
Q&A end of session
Further discussions
Brief History (USQ DWBI)
Started in 2010
Built infrastructure early 2011
Student went live in late 2011
Complete HR in 2012
Facility, Research Publications 2013.
Finance currently underway.
Rest of Research in Q2 2015.
Back-end (DW)
Front-end (BI)
Self-Service BI
Continuous process improvement
Business platform optimisation
Greater return on investment
Deeper, more meaningful analytics
Data mining
Increase use beyond self-service
What’s next?
Focus on
Pervasive BI
Real-time analytics
Academic process – Grade Review
Real live application - GDA
Driving DW/BI adoption using academic process
What is Pervasive BI?
Definition
Goal
Costs & Benefits
Strategy
Definition
“Pervasive business intelligence results when organizational culture, business processes, and technologies are designed and implemented with
the goal of improving the strategic and operational decision-making capabilities…”
IDC (2008)
Definition: User Pyramid
(2%)
(4%)
(~90%)
Goal
To get the information to the front line
Costs & Benefits
Benefits
Data-driven culture
Single source of truth
Tactical decision support
Just-in-time insights
Empowering staff
Costs
Infrastructure capacity
Maintenance & support
Strategy
Increase use of DW/BI platform by using it as a source for certain transactional (near transactional) systems.
Identify the right processes
Get executive support
Get users involved (co-create)
Education/Training
DW and Academic Processes
Academic Process - Grade Distribution Analysis
Requirements
Understanding Audience Capability
Process Flow
Real (Near Real) time Analytics
How are we implementing this?
Advantages & Disadvantages
Latency – issues and complexities
Reliability, scalability and performance
Challenges
Technical
Interoperability
Useability
Education and Training
Solution
Approach
Model
ETL Flow
ETL Flow
Demo
Outcome
PIR
Issues
Improvement
Learnings
Q&A