For decades, companies have struggled to capture and integrate data into their decision-making. In spite of protracted efforts, the results have been decidedly mixed. Last year, just 37% of companies reported that efforts to improve data quality had been successful. But recently, something significant has changed: Generative AI has spurred greater interest and investment in data quality and broader data capabilities. After all, great AI relies on great data. Gone are the days when executives dismissed investments in initiatives like these as “just another data project.” Now, to succeed with AI, companies are doubling down on finally getting data right.
