Too Long; Didn't Read
One of the biggest reasons for data science project failure is poor problem framework, which can be easily mitigated by early intervention. Every data science team needs to get better at defining the problem the right way. Failure rate of various data science initiatives is really high — often estimated approximately 70–80% As per my experience various reasons for the same can be attributed to. Not involving the right stakeholders in defining the. problem who speaks the language of both the data and business is super useful in this process.