Failing to build organizational trust in data projects can also dampen the results of the technology.
Estimated reading time: 0 minutes, 15 seconds
Estimated reading time: 0 minutes, 15 seconds
Failure to prioritize requests for data analysis, poor business user engagement, and not planning for adequate capacity are a few common reasons why high-profile big data projects fail. So reports Tech 2.
Failing to build organizational trust in data projects can also dampen the results of the technology.