Discovering why data and analytics projects fail

We have discovered various research articles on the topic of data and analytics projects over the last 2 decades (yes—we’ve been dealing with data for more than 2 decades). As we all know, business intelligence (BI) projects can begin with a straightforward purpose and then fail for a variety of reasons, including:

• They involve multiple stakeholders
• They involve multiple actors
• They involve multiple suppliers
• Users do not adopt what we have created

Not just from our own experience, but also from the findings of several researchers, we discovered that the failure rate of data and analytics initiatives is quite high:

• According to Gartner, just 20% of data and analytics projects will actually generate business outcomes. (https://blogs.gartner.com/andrew_white/2019/01/03/our-top-data-and-analytics-predicts-for-2019/)
• The same is true for data science projects; according to TechTarget,...