Why most cloud migrations fall short
The harsh truth is that moving to the cloud often amplifies existing governance challenges. Most data cloud migrations stumble for four specific reasons:
The migration strategy doesn’t align with business objectives: Your technical teams move fast. But without business alignment, you can end up with expensive mistakes
The migration control processes are broken or non-existent: Where governance is fragmented across systems and teams, chaos follows
A one-time, lift-and-shift migration creates a data swamp: Quick migrations without proper governance turn data lakes into data swamps that can sink all your data and AI use cases
The migration plan lacks ownership and transparency: When business users are disconnected from data stewardship, migrations stall and trust erodes
AI is raising the stakes: AI isn’t just another use case. It’s a fundamental amplifier of opportunity and risk. Poor data quality that might have once led to a flawed report can now propagate through AI models and thousands of automated decisions
Success in this new reality demands more than better migration tools. It requires a fundamental shift in how we think about cloud governance. From system-specific controls to a program of unified governance that spans the entire data ecosystem with a governance framework that’s as flexible as the cloud environments they oversee. With this, you can build the foundation for Data Confidence.
Business alignment and strategic planning
Effective governance processes and controls
Clear ownership and accountability throughout the process
Ensuring the migration of only high-quality data into your data lake
Data Confidence is the way you and your colleagues feel when your organization can accelerate every data and AI use case — without compromising on safety or quality.
It happens when governance becomes an enabler rather than a bottleneck. Your people can find, understand and use trusted data across every system. Business context flows alongside technical metadata. And policies apply consistently everywhere data lives.
Bottom line: When your people can trust,comply and consume data confidently,innovation accelerates.That’s Data Confidence.
