Reasons companies struggle to unlock data value

Many companies face difficulties in turning data into meaningful, sustainable value for their businesses, despite having large volumes of it. A survey involving 624 decision-makers indicates that about 43% of organizations achieve limited or intermittent success in their data initiatives. The main challenge lies in the ability to connect data to better decision-making and process improvement, rather than merely collecting it. Companies encounter obstacles such as data quality issues, the lack of clear governance, a weak data culture, and challenges in measuring the value generated—all of which hinder the broader adoption of data and artificial intelligence. To derive greater value from data, companies need to align their strategies with business objectives, expand successful projects, and foster a culture of responsibility and governance within the organization. This approach ensures that data is transformed into improved decisions and actions that drive growth and efficiency.

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