About us

Specialists, not generalists

DA Lytics is a data agency built around Power BI, Microsoft Fabric and the data engineering underneath both. We work with companies that need reporting they can rely on, and a partner who understands the business behind the numbers as well as the tooling in front of them.
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Three coworkers discuss data displayed on a large screen in an office at night.
The team

Who you will actually work with

The people you meet during scoping are the people who build the thing. There is no account layer between you and the developers.
A

Andrei

Founder and Senior BI Developer
Founder and lead developer. Andrei came up through freelancing, owning both the build and the client relationship on demanding projects. Several of those clients followed him into the agency. He leads scoping on most engagements.
M

Marius

Senior BI Developer
Senior BI Developer, previously at Deloitte. Marius works on the messy end: complex business logic, data that arrives by hand rather than through a pipeline, and row-level security that has to hold once a report is shared widely.
T

Teo

Junior BI Developer
Junior BI Developer. Teo works on report layout and design, which is the part of a build a client looks at every day, and takes on smaller pieces of delivery across engagements.
Capabilities

What we are good at

Our practice sits across four areas: Power BI, Microsoft Fabric, SQL databases, and the transformation layer between them.
In practice that means the reporting work most people know us for, in Power BI and Fabric, plus everything that feeds it: SQL databases, ETL tools, and the APIs that data arrives through. Around that sits the automation layer, with Power Apps, n8n and Funnel, and the work of preparing data so AI tools can actually use it. We cover all of it deliberately. Being able to fix a report and the pipeline feeding it is what lets us solve the actual problem rather than the one that happens to be visible.
Power BI
Microsoft Fabric
Power Apps
SQL databases
ETL tools
APIs
n8n
Funnel.io
AI data preparation
Industries

Where we have done it

We have implemented data solutions across HR, financial services, healthcare, marketing, sales and construction.
That range matters less for the domain knowledge and more for what it teaches you about business logic. Every industry believes its rules are uniquely complicated. Most of the difficulty turns out to be the same handful of problems wearing different vocabulary: data at inconsistent grain, definitions nobody has written down, and a number two departments calculate differently. Having seen those in six industries makes the seventh faster.

Some of the teams we work with

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How we work

How we think about data work

We think a company's reporting belongs to the business in the same way its finance function does. It is how the organisation sees itself, and decisions get made on whatever it shows. That belief turns into a handful of specific habits.

We start from the decision

Scoping begins with the decisions you need to make and works backwards to the data that answers them. Starting from whatever data exists produces reports that are accurate and useless.

Every figure is reconciled before it ships

QA means checking output against source, not checking that the report opens. A number nobody trusts costs more than no number at all, because someone rebuilds it in Excel and now there are two.

We recommend the smallest solution that solves the problem

Sometimes a rebuilt data model does what a platform migration was scoped to do. We will say so. We would rather be the people you call for the next piece of work, and the same instinct is what let us hold a 150-store retail network inside a fixed capacity tier rather than scaling the platform up.

We say when something will not work

Part of the job is telling you when what you asked for will not answer the question you actually have. That conversation is cheaper before the build than after it.
Where we work

Based in Romania, working further out

We are a Romania-based agency working with clients across US, Europe, the UK and beyond, in their business hours and their currency.
Most clients arrive through referral, or because someone found work we had done on a similar problem.
Support

Frequently asked questions

Everything you need to know about DA Lytics and our expertise.
What exactly does DA Lytics do?
We build reporting systems that run themselves. That means the data pipelines, the model, and the Power BI reports your team actually opens. We've done this for global media agencies, retail groups and international brands. If your team is still rebuilding the same report every month by hand, that's the problem we solve.
Do we need Microsoft Fabric, or is Power BI enough?
Power BI on its own is usually fine if your data is clean and lives in one or two places. Fabric earns its keep when you're pulling from several systems, need a proper warehouse or lakehouse underneath, or want everything governed in one place. We'll tell you which one fits. There's no upside for us in selling you capacity you won't use.
Our reports are painfully slow. Can that be fixed?
Nearly always, yes. Slow reports are usually a modelling or query problem, not a hardware problem. On one recent scorecard we cut a query from over seven minutes to 32 seconds by rewriting how it was built. We start with a diagnosis, tell you what's causing it, and fix the parts that are worth fixing.
Can you work with the setup we already have?
Yes, and most of our work starts that way. A model that's crawling, a report nobody trusts, a pipeline that breaks every third refresh. We audit what's there, keep what's good, and rebuild only what needs it. We also work outside the Microsoft stack when the data lives elsewhere, including BigQuery and GCP.
What happens once the project is done?
You own all of it. The models, the pipelines, the documentation. Plenty of clients keep us on a retainer for changes and new reports, but that's your call, not a condition.

Work with us!

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