Avoid These 7 Common Business-Related Mistakes On Data Projects
insideBIGDATA, Thursday, April 11th, 2024
About 90% of businesses say they plan to increase their investments in data, analytics and AI, but many businesses are struggling to gain value from data science investments. These failures lead to a waste of money, time and opportunity for the company.
Data science efforts can fail for two main reasons: business-related reasons and data-related reasons. In this first of two articles, adapted from our book Winning with Data Science, we will discuss some of the most common business-related reasons for these failures and what you can do to avoid these pitfalls. Our follow-up article will explore some of the data-related issues.