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Transforming Data with Power BI and Fabric

In this comprehensive overview, we explore how Power BI and Fabric serve as powerful allies in data transformation. Their ability to streamline data workflows and provide dynamic visualizations makes them essential for businesses aiming to unlock the full potential of their data.
Power BI multi-platform campaign reporting dashboard for marketing agencies
How Marketing Agencies Automate Multi-Platform Campaign Reporting in Power BI
5 Things Power BI Can Do for Your Agency
Why Your Agency Needs a Single Source of Truth for Campaign Data
How to Fix Conflicting Marketing Data with Power BI
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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.

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