Experts emphasize the importance of effective metrics for assessing ROI in data operations, governance, and security. Business leaders advocate for KPIs that connect directly to organizational goals, moving beyond traditional IT metrics. This approach becomes crucial as companies integrate AI into their strategies, aiming to showcase how data investments can yield tangible business value and mitigate risks. Without clear measurement frameworks, organizations may find themselves investing heavily in AI without understanding its impact or return on investment.
"Demonstrating business value requires CIOs to utilize KPIs that tie directly to the mission rather than traditional IT metrics that rarely resonate in the boardroom."
"There is a growing perception that businesses are pouring money into AI with no clear metrics to determine whether the investment delivers business value and reduces risks."
"Like oil, data isn't useful in its raw state and must be refined, processed, and distributed to deliver value."
"Executives and business leaders understand the importance of these three functions, especially as many organizations are adding genAI products to their digital transformation strategies."
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