Is there a “right way” to implement data science and AI projects, and is one approach better or more effective than the other?learn more
Data ROI calculations are especially challenging since data efforts empower so many aspects of an organization to operate more effectively and efficiently. It’s often difficult to isolate the contribution of data alone to improvements, especially larger business outcomes (like higher profit margins, lower costs, etc.). While data teams can’t take sole credit for organizational wins like this, finding concrete wins is often the easiest way to calculate ROI.
McKinsey estimates that analytics will potentially unlock $9.5 trillion to $15.4 trillion in value annually, with AI activating about 40 percent of that (between $3.5 trillion and $5.8 trillion)