Data solutions
Data engineering and dashboards that support real decisions
Magz brings scattered data together, cleans it and puts it in front of the people who need it. We design databases and pipelines, build dashboards your team will use, and apply graph databases where relationships matter.
When it helps
Signs your data is holding you back
Most growing companies already have the data they need. It is just spread across tools, exported by hand and argued about in meetings.
- Reports are rebuilt by hand from exports every week.
- Two dashboards show different numbers for the same thing.
- Your database slows down as the product grows.
- Important questions need a developer to write a query.
- Your data is about relationships, such as networks, recommendations or fraud patterns, and tables make it awkward.
What is included
From raw data to answers your team trusts
Data modelling and databases
Schemas designed around your questions, with PostgreSQL as a reliable default.
Pipelines and integration
Scheduled jobs that pull data from your tools, clean it and load it into one place.
Dashboards and reporting
Dashboards built around the decisions they support, with definitions everyone agrees on.
Graph databases
Models and queries for highly connected data, including Apache AGE, the graph extension for PostgreSQL that our founder worked on.
Performance tuning
Indexes, query rewrites and structural changes that make slow databases fast again.
Data for AI
Clean, well described data that AI assistants and search can use safely.
How it works
From questions to trusted numbers
- 01
Define the questions
We start with the decisions you need to make and the numbers behind them.
- 02
Map the sources
We find where each number lives, how reliable it is and how often it changes.
- 03
Build the pipeline and model
Data flows automatically into one place, with checks that catch errors early.
- 04
Deliver dashboards
Dashboards and reports your team reviews with us, then adopts.
FAQ
Data questions
- Which tools do you use?
- PostgreSQL is our default database. For dashboards and pipelines we use tools that fit your team and budget, including options you may already pay for.
- What is a graph database, and do we need one?
- A graph database stores data as connected points, which makes questions about relationships fast and simple. Most companies do not need one; it helps when your data is mainly about connections, such as networks, recommendations or supply chains.
- Can you work with our existing database?
- Yes. Most projects start with the database you already have, and we only suggest a move when it clearly pays off.
- How do you keep our data secure?
- We use the least access needed, keep data in your accounts where possible and follow your privacy requirements.
- Can this data feed AI tools later?
- Yes. Well modelled, documented data is the foundation for AI assistants and search, and we design with that in mind.
Related services
- AI consultingAn AI readiness assessment that ranks your use cases, then a pilot built properly.Learn more
- Cloud consultingArchitecture, migration, DevOps and cost reviews, sized to your stage.Learn more
- Software developmentWeb apps, APIs and MVPs built to be maintained, with a handover your team can own.Learn more
Contact
Tell us where technology is slowing you down.
Message us on WhatsApp or email with a short note about your business and what you would like to improve. We usually reply within one business day.
WhatsApp · Messages only
+61 449 198 018