Centres Centre for Business Analytics Research Why do analytics and AI projects fail?

Why do analytics and AI projects fail?

A detailed study analysing the real causes of why analytics and AI projects fail, with practical, field-tested solutions.

why do data projects fail

Despite the hype, interest and AI frameworks, research shows that over 80% of all data science projects still fail. Everyone has their opinion as to what causes failure but a detailed study analysing the real causes and then providing practical, field-tested solutions has been missing – until now.

This white paper distils the problems down into four main themes and provides recommendations on how to overcome the endemic failure in the industry and begin succeeding with AI. 

Why do analytics and AI projects fail?

There are hundreds of reasons as to why data science, AI and data analytics projects fail – knowing where to start can be overwhelming. This white paper distils the problems down into four main themes and provides recommendations on how to overcome the endemic failure in the industry and begin succeeding with AI.