// The BoringBI Blog
Thinking out loud
about data.
No thought leadership. No trend pieces. Just honest writing about Power BI, data migration, and the BI problems businesses actually face and what fixes them.
Power BI vs Microsoft Fabric: When do you actually need Fabric?
Moving from Power BI to Microsoft Fabric isn't about replacing Power BI. It's about the moment repeated transformations, copied data, and uncoordinated refreshes become harder to manage than the reports themselves.
Read postSSIS: Still supported? Still relevant?
Search 'is SSIS still supported' and you'll discover mixed messages, not documentation. Here's what Microsoft has confirmed, what's genuinely changing, and why some organisations are staying on purpose.
Read postDeclarative pipelines: the hidden metric behind Gen Z's physical media revival
Gen Z buying physical media is a real, growing trend, but most shops have no way to confirm it in their own numbers. Here's why declarative pipelines make that gap cheap to close.
Read postSAP HANA to Power BI: What does modernising actually involve?
Connecting Power BI to SAP HANA is the easy part. Licensing, the access layer and refresh strategy are where the real decisions begin.
Read postDataflow Gen1 vs Gen2: Should you migrate or stay put?
Gen1 still works. Gen2 is where Microsoft is investing. Knowing the difference before opening your wallet is worth more than rushing into a migration.
Read postSSRS to Power BI migration: Stay, bridge, or move to the cloud?
SSRS isn't dead. It just stopped growing. Getting the migration decision right before the project starts is worth more than any shortcut taken during it.
Read postCost reduction is rational. That's why it's so dangerous.
The safest thing a business can do with its data is prove that costs went down. It's also the least useful.
Read postNPS tells you if customers are happy. NRR tells you if they're staying.
The CFO thinks the business runs an escort agency. The customer wants a marriage. Your metrics are probably siding with the CFO.
Read postReady to fix your data?
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