Why do 72% of data-driven projects fail? Let’s use a human-centered example. Say a person intent on gaining muscle commits to lifting weights at the gym regularly for a year. If they saw little to no results after that year, would you blame the weights--or would you bet the problem lay in their form?
Topics: Data Analytics, Product Management, Product World