Melbourne · AI, data and security
A data science company in Melbourne, Australia that turns years of records into decisions.
Data helps only when someone turns it into a decision. A data science company in Melbourne finds the patterns in your records and presents them so your team can act.
At a glance
- Dashboards and reports
- Forecasting
- Customer segments
- Explainable models
Data science company in Melbourne: what to expect
A data science company in Melbourne cleans and analyses business data, builds forecasting and classification models and delivers dashboards or reports. We start with the question you need answered and explain results without jargon.
Who it suits
Leaders who hold years of records but still decide by gut feel.
What you get
A cleaned dataset, dashboards or models, and findings explained in plain language.
How we start
A data audit and a clear question to answer first.
Why it helps
Decisions rest on evidence, and reports arrive without manual effort.
What we cover
What goes into your AI project
The pieces that make up the service.
Want the national picture? Read about our data science services page.
Data audit
What you hold, where it lives, how clean it is.
Dashboards
Live views for owners and managers.
Forecasting
Demand, stock and revenue predictions.
Segmentation
Customer groups with different behaviour.
Machine learning
Models for risk, churn and scoring.
Data pipelines
Reliable flows from source to report.
In Melbourne
Analysis for Melbourne's data-rich industries
Retail, healthcare, education, sport and manufacturing all generate more data than their teams can look at. We start with a question leaders actually want answered, then work back to the data.
Workshops and findings run on video, so executives can join without travelling. A data science company in Melbourne should measure itself by decisions improved, not charts produced.
- Question defined before analysis
- Results explained in plain language
- Data handled under Australian privacy rules
Common situations
What Melbourne clients usually ask us to solve
Retail, sport and events
Ticketing, loyalty and sales data show who attends, who returns and what drives spending. Analysis points marketing at the customers worth keeping.
Finance and insurance
Models for risk, fraud and churn need careful validation. We build and test them with explainable methods and clear records of how each result was reached.
Operations and logistics
Businesses with seasonal or project-driven demand can use past data to plan staffing and stock more accurately, with clear measures of how reliable each forecast is.
What's included
What comes with this service.
The essentials of the service, plus the standards that come with everything we do. No hidden extras.
Request a proposal →- Findings report: Clear charts and recommendations
- Data dictionary: What each field means
- Model notes: How predictions are made and checked
- Free discovery call: a short chat about your goals before you commit
- Files you own: every asset and editable source file handed over to you
Is it right for you?
When this approach makes sense
- Reports take days to assemble
- You want to forecast demand
- You suspect hidden customer patterns
- Decisions lean on gut feel
Compare
Dashboards or machine learning?
| Compare | Machine learning | Dashboards |
|---|---|---|
| Purpose | Predict and decide | Show and monitor |
| Data needs | More | Less |
| Effort | Higher | Moderate |
| Start here when | Basics are solid | You are starting out |
How we work
Our process, step by step
Ask
We define the question your leaders actually need answered.
Prepare
We gather, clean and organise the data we will need.
Analyse
We explore the data and build models that fit the question.
Present
We explain the results in plain language with clear charts.
Embed
We set up ongoing reports so the insight keeps arriving.
Built around you
Every project is quoted on your needs.
No one-size packages. After a free discovery call, you get a clear, itemised proposal based on what your business actually needs.
Request your proposal →Larger sets need more storage and processing, and change which methods are practical.
Gaps and errors in your records must be fixed before analysis is trusted.
A specific, well-defined question leads to faster, more useful answers.
A one-off report, a live dashboard or a running model each need different work.
Models and dashboards need refreshing as your data and business change.
Technology
Tools and technologies we use
Analysis
BI tools
Data
Pipelines
Why Kedra Digi
Why Melbourne businesses choose Kedra Digi.
Strategy, design, development and marketing together.
Itemised deliverables before work starts.
Files, code and accounts are handed over.
Kedra Digi is an Australian-owned digital agency based at 5 Murphy Street, O'Connor, Perth. Our Melbourne clients work with us by video, shared files and clear milestones, and we can arrange to meet in person when that helps.
Do we have enough data?
Can you work with Excel and databases?
Will our team understand the results?
Is our data kept private?
Can models run automatically?
How is it quoted?
What's the difference between data analytics and data science?
Do we need a lot of data to get started?
What data do we need to start?
How will results be presented?
Is our data kept safe?
One-off study or ongoing model?
Related services
Often paired with this service
AI chatbot development
A good chatbot knows its limits.
Learn more →AI automation services
Much of office life is copying, checking and chasing.
Learn more →Machine learning development
Machine learning pays off when the question is clear and the data is ready.
Learn more →See all development services in Melbourne → Explore our development services →
Free discovery call
Ready to talk about your project?
Tell us what you are working on. We will reply within one business day with honest advice.
Prefer email? [email protected]