GovernanceCase study
Data Governance Assessment
A wide-reaching data governance assessment that gave iLA a clear picture of the processes draining capacity and a prioritised path to fix them.
Before
- Data issues brought on by rapid growth
- Unclear data ownership
- Inefficient, costly data discovery
- Risk hiding in processes and reporting
After
- A clear view of what was draining capacity
- Data ownership weaknesses analysed
- A register of critical gaps
- A risk-focused path to stronger governance
01 · The challenge
Where they started
iLA is a not-for-profit organisation serving individuals seeking to live more independent lives. Rapid growth had created a complex web of data management issues that drained time and resources from its many federally funded initiatives.
Explosive growth
Rapid growth had brought on a complex web of data management issues.
Draining time and resources
The issues were collectively draining capacity from delivering federally funded initiatives.
Ownership and accountability
Data ownership and accountability weren't clear enough for foundational governance.
Hidden risk
Individual issues added up to significant organisational vulnerability.
02 · The solution
What we built
DATA LEAGUE applied its Data Governance Discovery assessment framework to analyse iLA's challenges systematically, across four areas.
How it fits together
- WorkflowsChange and communication
- OwnershipModels and pipelines
- RiskStrategic alignment
- ComplianceRegulation and reporting
- Path forwardPrioritised gaps
Workflows and change
Reviewed workflows, change management processes and communication protocols.
Ownership and pipelines
Evaluated data ownership models and technically reviewed pipelines, ingestion and downstream business dependencies.
Risk
A risk-based strategic assessment of alignment with business objectives, identifying systemic risks to prioritise.
Regulation and reporting
Reviewed regulatory requirements, reporting processes, data policies and accessibility.
03 · Delivery
How we delivered it
- 1
Discover
Reviewed workflows, systems and reporting across the organisation.
- 2
Analyse
Assessed ownership, pipelines, risk and regulatory reporting.
- 3
Prioritise
Ranked issues by risk and the effort they were costing.
- 4
Recommend
Delivered the findings, a gap register and a clear path forward.
04 · Results
What changed
Clear understanding
How individual processes were draining organisational capacity and introducing risk.
Ownership analysis
Detailed analysis of data ownership weaknesses, the cost of inefficient discovery and issue remediation.
Gap register
Critical gaps in change management, communication, data service capabilities and regulatory reporting.
A path forward
A platform to uplift governance and deliver data-driven initiatives, with an eye on risk reduction.
In the client's words
Luke Brittain
BI Professional
iLA
- Engagement
- Defining data management needs and objectives
- Support
- Ongoing
- Outcome
- Transformational change to the data landscape
DATA LEAGUE worked with us to define our data management needs and objectives through understanding our unique situation and using their expertise to provide us with expert advice. Their ongoing support has been instrumental in ensuring that we are able to make transformational change to our data landscape and develop our ability to make better data-driven decisions.
- Tailored advice
- Ongoing support
- Better decisions
05 · Technology
Built with
- Data governance
- Assessment framework
- Risk assessment
- Data ownership
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