Atronova
05 — Services
Data Analytics
Turn data into decisions.
Data platforms, pipelines and dashboards — from raw data to clear answers — on Microsoft Fabric and Databricks.
A dashboard nobody trusts is just decoration. We start from the decisions you need to make, then build the pipelines and checks that make every number defensible.
What we do
Capabilities.
Data platforms
Lakehouse and warehouse setups on Microsoft Fabric, Synapse or Databricks.
Data pipelines
Reliable, tested pipelines that load and shape your data.
Dashboards
Power BI reports your team actually trusts and uses.
Quality & governance
Lineage, catalogues and checks so the numbers hold up.
How we work
From idea to live.
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01
Model
We agree the questions that matter, then shape the data to answer them.
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02
Pipe
Tested pipelines load and clean your data on a schedule you can trust.
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03
Visualise
Power BI dashboards built around real decisions, not vanity charts.
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04
Govern
Lineage, catalogues and checks so the numbers always add up.
What you get
Clear deliverables.
- A lakehouse or warehouse platform
- Tested, scheduled data pipelines
- Power BI dashboards your team trusts
- Data quality and governance checks
FAQ
Data Analytics FAQ.
What can Atronova’s data analytics do for us?
We turn scattered data into clear answers — building data platforms, pipelines and Power BI dashboards on Microsoft Fabric, Synapse or Databricks, with the governance that makes the numbers trustworthy.
What is a lakehouse, and do we need one?
A lakehouse is a single place that handles both raw data and analytics, so you don’t run two separate systems. You probably need one if your data is spread across tools and your reports don’t agree — but we’ll tell you honestly if something simpler fits.
Why don’t people trust our current dashboards?
Usually because the data behind them isn’t checked. We add lineage, catalogues and quality checks so every number traces back to a source — which is what turns a dashboard people ignore into one they rely on.
Which tools do you build on?
Mainly Microsoft Fabric, Synapse, Databricks and Power BI, with Azure Data Factory for pipelines. We pick based on what you already run instead of forcing a new stack on you.
Let's scope it together.
A short call is the fastest way to a plan.