What does analytics modernization actually mean?

It means fixing how your data is stored, moved, and reported on, so your team can trust the numbers without double-checking them somewhere else. It usually touches your data platform, your pipelines, your BI tools, and how tightly you govern who sees what.

How long does an analytics modernization project take?

It depends on how tangled things are today, but most engagements run in phases over several months, not one big rebuild. You'll see improvements in specific reports and pipelines well before the whole project wraps.

Do we have to replace our existing BI tools?

Not usually. Most of the work is fixing what feeds your dashboards, not the dashboards themselves. If your reporting tool genuinely can't do what your team needs, we'll tell you, but that's rarely the actual problem.

Where does AI or Copilot fit into this?

After the foundation, not before. We run an AI and Copilot readiness assessment as part of the work, so you know what's genuinely ready to turn on and what still needs a cleaner data foundation first.

Is this only for companies using Microsoft tools?

No, but if you're already running Microsoft 365 and Azure, which most of our clients are, the fit tends to be especially clean.

ANALYTICS MODERNIZATION

Stop reporting the past.
Start trusting what's on screen.

Two teams pull different numbers for the same quarter, and the "quick report" still takes three days and a spreadsheet wizard. We rebuild your data platform, pipelines, and reporting so the numbers on screen are ones your team trusts, with room to add AI once the foundation holds.

Talk to an engineer about your data environment See what's included

What's included

What's included in analytics modernization.

Four pieces, working as one system instead of four separate tools. Here's what each one takes off your plate.

Data platform & warehousing

One place for your data to live, instead of five. We design the platform your reporting and pipelines run on, usually Azure and Microsoft Fabric if that's already home turf.

A single source of truth, not five
Built on Azure and Microsoft Fabric
Sized for your data, not a vendor demo

Data pipelines & integration

Automated movement between systems, no more manual exports and copy-paste. A new source plugs in instead of creating another workaround.

No more manual exports or copy-paste
New sources integrate, they don't get bolted on
Built to run unattended, not babysat

BI & reporting

Dashboards and reports people actually open, because they trust what's in them. Built around the decisions your team needs to make, not the old dashboard's layout.

Reports built around your decisions, not old habits
One number per metric, not four
Power BI dashboards your team opens daily

Data governance

Clear ownership, clean definitions, and access controls that hold up to an audit. Once this is solid, we run a short AI and Copilot readiness check so you know what's actually worth turning on.

Clear ownership and access controls
Definitions that hold up under audit
AI and Copilot readiness, folded in, not bolted on

How we work

Built on what you run, not a rip-and-replace.

We don't start with a new dashboard. We start with what's actually broken underneath it.

How we approach it

We start by mapping what you actually have: the systems, the reports people use, the ones nobody opens anymore, and the workarounds holding it together. From there we design a platform and pipeline architecture suited to your stack. Most of our clients run on Microsoft, so that usually means Azure and Fabric doing the heavy lifting.

Then we rebuild reporting around what your team needs to decide, not around what the old dashboards happened to show. Governance gets built in from the start, not bolted on after an audit finding. Once the foundation is solid, we run a short AI and Copilot readiness check so you know exactly what's worth turning on next. You get a partner who stays past go-live, not a report and a handshake.

600+engineers across data, cloud, and security

35+years running Microsoft-centric environments

Azure + Fabricour default data platform stack

24/7team behind every environment we run

Why Netrix

Modernization without the rip-and-replace panic.

Plenty of shops will sell you a new BI tool. Fewer will fix what feeds it first. Here's what that gets you.

Fixes the plumbing, not just the dashboard. Most modernization projects swap BI tools and call it done. We fix what feeds them first, so the new dashboard doesn't inherit the old problems.
Microsoft-first, and deep. We live in Azure, Fabric, and Power BI every day. If you're already a Microsoft shop, the fit is clean, not a learning curve on your dime.
Phased, not a one-shot rebuild. You'll see specific reports and pipelines improve within weeks. You're not waiting on one big cutover to see anything change.
AI readiness comes after the foundation. We won't sell you a Copilot pilot before your data can actually support it. The assessment comes after the platform work, not instead of it.
One partner, one number. The same team that builds your platform stays on to run it. No handoff to a different team once the contract is signed.

Common questions

Questions we hear before the first call.

The ones that come up most, answered straight.

Ready when you are

Stop double-checking the dashboard. Start trusting it.

A 30-minute conversation with an engineer who'll look at your current data platform and tell you, straight, where the gaps and the quick wins are.

Talk to an engineer about your data environment

No slide deck about digital transformation. Just a look at your data and a straight answer on what's worth fixing first.

Stop reporting the past.Start trusting what's on screen.