If you or your data practitioners could analyze hierarchical/transactional/granular data from the original source without normalizing/summarizing it first, how much of an impact would it have on project timelines/data workloads?

Tremendous impact11%

Some impact75%

Little impact11%

No impact2%

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CTO in Mediaa year ago

Isn't this just allowing direct access to source data, even in a read replica or fully replicated form in a data warehouse?

Technically there's never been any blocks to accessing source data, so I'd expect this to be largely one of regulation/process versus any other reason. 

I think humans should not be messing around in live data even if it's just query as that could have negative impacts on system performance, but that's still just a process or procedure note.

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Costs involved by this activity (external and internal)24%

Response time / waiting time / resolution time70%

Resolution quality39%

Automation21%

Knowledge / skills / know-how / expertise8%

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data security posture management 43%

data loss prevention 71%

data access governance 57%

encryption 43%

privacy enhanced technology 14%

use of synthetic data 29%

None, not using AI

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If you or your data practitioners could analyze hierarchical/transactional/granular data from the original source without normalizing/summarizing it first, how much of an impact would it have on project timelines/data workloads? | Gartner Peer Community