Data as a Competitive Advantage: The Missing Link in Boardroom Conversations — Maria Alvarez Mann
For years, data has been called the “new oil,” yet many boards still treat it as a technical byproduct rather than a core strategic asset. As organizations transition from using data for simple reporting to relying on it to power artificial intelligence, this oversight becomes a critical vulnerability. The challenge for leadership today is no longer just data collection; it’s understanding that the nature of valuable data itself is changing.
Traditionally, firms have excelled at managing structured, transactional data to fuel operational systems. However, Generative AI and sophisticated AI agents require a different kind of fuel: contextual knowledge. This is the nuanced information about a firm’s people, processes, and products — the insights experienced knowledge workers possess. Without this context, AI initiatives will fail to deliver meaningful value, remaining disconnected from real-world business strategy.
Throughout my career leading data strategy at institutions like JPMorgan Chase and USAA, I have focused on bridging the gap between raw data collection and strategic implementation. My work involved not only governing and centralizing vast data systems but also ensuring that data was aligned with overarching business goals to drive efficiency and identify new market opportunities. This experience has proven that without a robust governance framework, even the most advanced technology cannot overcome data chaos.
Today, boards must expand their oversight beyond traditional IT risk. They need to ask probing questions of their executive teams: Are our current data management practices sufficient for the age of AI? Are we only capturing transactions, or are we actively curating the deep contextual knowledge necessary to train effective AI agents? Crucially, how are we embedding data management responsibility into everyone’s role, ensuring that data quality and context are priorities across the entire organization?
Treating data as a strategic asset means preparing it for future applications, including advanced analytics and Generative AI. This requires a deliberate effort to capture and organize contextual knowledge, transforming it into a reliable, accessible resource. For boards, ensuring the firm builds this capability is essential for mitigating risks and unlocking true innovation. The companies that successfully integrate contextual data into their strategic framework will be the ones that lead their industries for years to come.
Connect with Maria on Linkedin
