Data Strategy Break Points

Where do data strategies usually break?

Not in the architecture diagrams.
Not in the tool selection.
And rarely because the technology is “wrong”.

They break in the real world:

• When data quality is ignored.
• When ownership is unclear.
• When leadership buy-in is missing.
• When people are too busy to change.
• When teams don’t really understand their own data.

Technology is a necessary enabler. But value only emerges when a Data & AI strategy explicitly addresses these non-technical realities as well!