Beyond the Hype: Why Do Data-Driven Projects Fail?

Despite substantial investments, data science has failed to deliver significant business value in many companies. So far, the reasons for this problem have not been explored systematically. This study tries find possible explanations shortcoming and analyses specific challenges data-driven projects. To identify that make projects fall short of expectations, multiple rounds qualitative semi-structured interviews with domain experts different roles were carried out. was followed by a questionnaire surveying 112 experience from eleven industries. Our results show main failure are (1) lack understanding context user needs, (2) low quality, (3) access problems. It is interesting, 54% respondents see conceptual gap between strategies implementation analytics solutions. Based on our results, we give recommendations how overcome distance carrying out more successfully future.