Recently in my training, I have been asked what IS the biggest reason why data projects fail. I can think of two and from my consulting experience, I felt it is a split between the two. Data Collection We all know that quality of data is important. But data collection for most companies are an afterthought rather than something at the top of their mind. As such data is collected haphazardly resulting in poor quality data that even if it looks decent, may create downstream impact such as wrong decisions made because data did not present the actual reality.
Biggest Failures of Data Project
Biggest Failures of Data Project
Biggest Failures of Data Project
Recently in my training, I have been asked what IS the biggest reason why data projects fail. I can think of two and from my consulting experience, I felt it is a split between the two. Data Collection We all know that quality of data is important. But data collection for most companies are an afterthought rather than something at the top of their mind. As such data is collected haphazardly resulting in poor quality data that even if it looks decent, may create downstream impact such as wrong decisions made because data did not present the actual reality.