Analytics
Service module
Evinact helps organisations turn data into insights that support better decisions, stronger performance and more effective action.
Our analytics work covers everything from exploratory analysis and performance reporting to data storytelling and visualisation, predictive modelling and decision support. We focus on the questions that matter to your organisation, then determine what analysis, measures and reporting will help answer them.
Whether you need to understand what’s driving performance, improve an established reporting environment or make better use of data that already exists, we help ensure the output is useful to the people making decisions.
Analytics built around the decisions you need to make
Good analytics starts with the decision or problem, not the dashboard.
Evinact works with organisations to understand what they need to know, identify the data that can provide useful evidence and design analysis and reporting around that purpose.
Insight discovery and analysis
We analyse data to identify patterns, trends, relationships and underlying drivers that can inform strategic and operational decisions. This can include descriptive and diagnostic analytics to understand what has happened, where performance is changing and what may be contributing to it.
Data visualisation and storytelling
We turn analysis into clear visualisations and narratives that help different audiences understand what the data means and why it matters.
This can include interactive dashboards, executive reporting and other visual formats designed around the information users actually need, helping them move from reviewing numbers to understanding their implications.
Reporting and performance measurement
We design and improve reporting, KPI frameworks and scorecards so organisations can monitor the measures that matter.
That includes reviewing existing reporting environments, defining meaningful measures and designing reporting that gives leaders and operational teams a focused view of performance without adding unnecessary reporting burden.
Predictive analytics and modelling
Where the data and use case support it, Evinact can apply predictive analytics and modelling to help organisations anticipate likely outcomes, identify emerging risks or opportunities and make more informed decisions about what happens next.
Decision support and analytics capability
Analytics creates more value when people know how to use it. We work with teams to embed analytics into decision-making, helping people interpret findings, ask better questions of data and use evidence consistently in their work.
Where broader capability uplift is needed, this can connect with Evinact’s Data and AI Literacy services.
When you need analytics support
Analytics support can help when your organisation has access to data but isn’t getting enough useful information from it.
Common triggers include:
- Reporting has grown over time, but leaders are still struggling to get the information they need to make decisions.
- Teams spend significant time producing dashboards and spreadsheets without a clear view of which measures matter most.
- Different reports or business areas provide conflicting views of performance.
- An organisation needs to understand what is driving a particular outcome, trend or change in performance.
- Existing dashboards contain plenty of information but aren’t helping users understand what action to take.
- Leaders need stronger evidence to support planning, investment, funding or operational decisions.
- Predictive analysis could improve decision-making, but the organisation needs to determine whether the available data and use case are suitable.
- Reporting or analytics capability needs to be strengthened as part of a broader data, technology or organisational change.
Analytics can also expose underlying issues with data quality, definitions or governance. Where those issues affect the reliability of the analysis, Evinact can help identify what needs to be addressed before more advanced analytics is pursued.
What you get from an analytics engagement
Insights that answer useful questions
Analysis focused on the questions, decisions and performance issues that matter to your organisation.
Reporting that focuses attention
Dashboards, reports, KPIs and scorecards designed to surface relevant information without overwhelming users with unnecessary measures.
Stronger data communication
Visualisations and data stories that help executives, operational teams and other stakeholders understand findings and their implications.
Evidence for decision-making
Findings translated into useful recommendations or decision support, giving teams a stronger basis for determining what to do next.
Better visibility of performance
Measures and reporting that make it easier to understand progress, identify emerging issues and investigate the factors influencing results.
Analytics capability that lasts
Approaches, tools and knowledge that help your people continue using data effectively after the engagement.
Why choose Evinact for analytics?
Evinact specialises in data, AI and digital. We give governments, businesses and communities the evidence they need to act.
Our analytics work begins with the decision to be made or the problem to be understood. That keeps the focus on useful evidence and avoids producing dashboards, measures or models without a clear purpose.
We can work across the analytics lifecycle, from interrogating data and defining KPIs through to predictive modelling, dashboard design and communicating findings to decision-makers. Where the analysis reveals broader issues with data quality, governance or capability, we can help address those foundations as part of a connected approach.
Our advice is independent and technology-agnostic. We design analytics around your organisation’s needs, data and operating environment, rather than steering the work towards a particular platform or product.
Frequently asked questions
What is data analytics?
Data analytics is the process of examining data to identify useful patterns, trends, relationships and insights. It can help organisations understand what has happened, why it happened, what may happen next and what decisions should follow.
The right form of analytics depends on the question being asked, the available data and how the findings will be used.
What’s the difference between business intelligence and data analytics?
Business intelligence commonly focuses on monitoring and reporting what is happening across an organisation, often through dashboards, KPIs and recurring reports.
Data analytics can go further by examining why something is happening, exploring relationships within the data or using predictive techniques to assess what may happen next. In practice, the two often work together.
Can Evinact improve dashboards and reporting we already have?
Yes. Evinact can review existing dashboards, reports, KPIs and reporting processes to assess whether they are giving users the information they need.
That may involve simplifying reporting, refining measures, improving visualisation, resolving inconsistencies or redesigning reporting around the decisions different users need to make.
Do we need good data quality before starting analytics?
The data needs to be sufficiently reliable for the question you are trying to answer, but that doesn’t mean every data quality issue must be resolved first.
An analytics engagement can help identify where quality issues are affecting findings and determine which problems need to be addressed. Where more substantial work is required, Evinact can support data quality assessment and improvement.
Do we need a particular business intelligence or analytics platform?
No. Evinact’s approach is technology-agnostic. We can work with your existing analytics and reporting environment or help define what capabilities are required before technology decisions are made.
The right approach depends on your users, data, reporting needs, existing systems and the decisions the analytics needs to support.
When should we use predictive analytics?
Predictive analytics is useful when there is a clear decision or outcome that could benefit from understanding what is likely to happen next, and when suitable historical data is available to support the analysis.
Evinact can help assess whether predictive modelling is appropriate for the use case and whether the available data is sufficient before more advanced analysis is undertaken.
Make more of the data you already have
Speak to Evinact about turning your data into useful insights, better reporting and stronger evidence for decision-making.
Related case studies
Australian Computer Society
Evinact supported the Australian Computer Society (ACS) to develop a fit-for-purpose IT Governance Framework aligned with its evolving organisational strategy and priorities.
State Government
Evinact provides independent assurance to support the effective management of public sector ICT investments and reduce the risk of failure. Our extensive experience conducting Gateway Reviews and Health Checks enables us to tailor each review to the client’s requirements while aligning with the Queensland Treasury and CDSB Assurance Framework.
Higher Education
Evinact was engaged by a Group of Eight (Go8) University to design and manage the migration of more than 50,000 in-flight student applications from a bespoke, university-built application platform to a third-party cloud solution.
