Data & Analytics for South Australian organisations
Most organisations already hold valuable data across finance, CRM, operations and spreadsheets, but it is hard to bring together and trust. Without a reliable data foundation, reporting stays manual, decisions are slower, and AI initiatives stall.
EITSAA delivers data and analytics services in Adelaide that turn scattered data into trusted, timely insight. We build modern data platforms, automate pipelines and create dashboards people actually use, with the governance and quality controls that AI depends on.
AI is only as good as your data. We build clean, governed data foundations and dashboards your people will actually use.
What's included
Data warehouses and lakehouses (Fabric, Databricks, Redshift)
Power BI and QuickSight dashboards
Data pipelines and integration
Data quality, governance and classification
Foundations for AI and machine learning
Document capture pipelines that read photographed timesheets and forms with computer vision and feed validated data into reporting and compliance systems
Document capture
From a photographed timesheet to a compliance record
Drivers fill in a paper timesheet and send a photo. The photo lands in OneDrive, computer vision reads the fields, rules check the hours, and clean records are filled into your driver management application. Anything unclear goes to a person.
PhotoDriver sends a photo of the paper timesheet
OneDriveFile lands in a folder and triggers the flow
ReadComputer vision and OCR extract driver, date, hours, vehicle and breaks
ValidateChecks against your work and rest hour rules
FillRecord created in the workforce or driver management app
Lakehouse and warehouse designs on Microsoft Fabric, Databricks, Snowflake or AWS Redshift.
Dashboards and reporting
Power BI and Amazon QuickSight dashboards designed around the decisions they support.
Data pipelines
Automated, monitored ingestion from SaaS applications, databases and files.
Data governance
Classification, quality rules, lineage and access controls aligned to privacy obligations.
AI-ready data
Clean, well-documented data products that feed machine learning and LLM applications.
Our delivery process
Discover
We clarify goals, users, constraints and success measures, and review your current systems and data.
Design
We agree the architecture, security controls and user experience before the build begins.
Deliver
Fortnightly sprints with demos, automated testing and continuous deployment.
Operate and improve
Monitoring, support and a backlog of improvements based on real usage.
Technology we use
Microsoft Fabric, Power BI, Databricks, Snowflake, AWS Glue, Redshift, QuickSight, dbt, Python, SQL.
Why choose an Adelaide partner?
Working with a local team means face-to-face workshops, an understanding of South Australian regulatory and procurement requirements, and support in your time zone. Engaging EITSAA also keeps investment and jobs in South Australia, which counts under the SA Industry Participation Policy in government tenders.
Every Data & Analytics engagement starts with outcomes we agree on, not just a list of features. Before we begin, we set measures such as hours saved, faster turnaround, higher customer satisfaction, lower operating cost or reduced risk. We report against them throughout delivery. You get a fortnightly demonstration of working software, a transparent backlog, and a named Adelaide-based lead who is accountable for progress.
When the work is done, you keep the capability. Documentation, source code, infrastructure definitions and runbooks are handed over in full, and knowledge-transfer sessions give your team the confidence to run and extend what we have built.
Security, privacy and compliance
Security and privacy are designed in from the first workshop. Our Data & Analytics solutions follow the principle of least privilege, encrypt data in transit and at rest, and can be hosted in Australian cloud regions to meet data sovereignty requirements. We align with the ACSC Essential Eight, the Australian Privacy Principles and, for public sector clients, the SA Government Information Security Management Framework.
For regulated or sensitive work, we can complete privacy impact assessments, provide security documentation for your risk team, and support independent penetration testing before go-live.
Frequently asked questions
We only have spreadsheets. Is that okay?
Absolutely. Many projects start there. We help you move to automated, reliable reporting step by step.
Power BI or something else?
Power BI is a great fit for most Microsoft 365 organisations. We will recommend the best tool for your environment.
How do you handle sensitive data?
We apply classification, least-privilege access, encryption and Australian data residency.
Can data projects deliver quick wins?
Yes. We usually deliver a first high-value dashboard within weeks, then expand the platform in prioritised increments so each stage pays for itself.
Do you provide data training?
Yes. We run practical Power BI and data literacy sessions for report consumers and builders, so your team can answer its own questions and keep dashboards current without depending on consultants.
Can you read paper timesheets from photos?
Yes. Photos land in OneDrive or a similar store, computer vision and OCR extract the fields, and rules validate them. Clean records post to your workforce or driver management application, and unclear ones go to a person for review. Rules reflect your policy and are not legal advice.
Further reading
Plain-English guides from our Insights library related to Data & Analytics.
How SA councils, not-for-profits and small businesses move from spreadsheet reports to trusted dashboards: platform choice, design, privacy and a 90-day plan.
Compare machine learning, scoring models, generative AI, LLMs, RAG, AI agents, computer vision and automated decisioning, with the risks and controls for each.
Model inventory, independent validation, explainability, fairness testing, champion and challenger, monitoring and retraining for scoring and decisioning.
A governed analytics platform: raw, curated and consumption layers on object storage, a catalogue with column-level access control and a semantic layer that business users can trust.
One governed customer profile built from the systems you already have: identity resolution, consent-aware activation and privacy controls, with a clear line between what is analysed and what is acted on.
Agree who owns each core entity (person, organisation, product, cost centre), publish the golden record to the systems that need it and reconcile the differences before they reach a report or an auditor.
View architecture →
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