Five Common Reasons Why Data Integration Projects Fail

Five Common Reasons Why Data Integration Projects Fail

It’s 3 AM. My alarm goes off and I groggily climb out of bed and crack open my laptop. One of our biggest customers needs their data delivered by 9 AM, and I’m getting up before sunrise to triple-check every data point before their delivery. Our data platform was built with hundreds of data audits, but this customer’s delivery was just too complex to feel 100% confident that we’ve captured all potential issues. This scenario would soon become a typical morning for me. Wake up. Coffee. Pray to the data gods for an inbox without 500 Zendesk ticket escalations.

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