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What BI and IT leaders should look for in a marketing data integration solution
It starts innocently enough. A new marketing platform gets added to the stack. At first, it’s just another integration to manage, but you know what’s ...
Data security best practices for integration pipelines
The dashboards load slower than usual. An API key expired overnight. A vendor emails asking why their campaign data is missing. Marketing is looking f...
Self-serve analytics will free marketing from IT and data bottlenecks
You shouldn’t need a ticket to see your own performance. But you know how it goes. You launch a campaign. The results pour in — but the insights are b...
Stop babysitting data pipelines and get ETL automation
Marketing data is often fragmented, inconsistent and constantly changing. Your marketing team pulls data from multiple platforms, each with different ...
6 costly marketing data integration challenges (and how to fix them)
You’re deep in a report, five tabs open and none of the numbers line up. Was it the API update? A naming mismatch? A spreadsheet that wasn’t versioned...
Marketing decision-making fatigue comes from too much dumb data
The average adult makes 35,000 decisions a day. At that rate, the brain is running on fumes by mid-afternoon. If you’re a marketing leader whose brain...
What would your marketing data say if it could talk?
Unorganized marketing data doesn't communicate clearly. It creates a cacophony of competing signals, such as "Look at this metric!” "No, this trend is...
The hidden data insights lurking in your marketing
Ever feel like you're missing something important in your marketing data? You're not alone. While most marketers get comfortable eyeing surface-level ...
Best data consolidation practices to take your data from chaos to clarity
Marketing data is everywhere — Google Ads, Facebook, CRM systems and even offline sources. But without a unified system, you’re left with conflicting ...
Best data warehouses in 2025
Research conducted by IBM and Gartner reveals that poor-quality data can lead to businesses losing an estimated 20 to 35% of their annual revenue. Fra...
