What challenges do you see for data in the year ahead that will have an impact on your organization and on the industry as a whole?
The industry rightly has focused on data security, and for certain markets privacy requirements to align and remain GPDR and CCPA compliant, but AI comes with new data risks, and people have new expectations – thinking past a compliance lens or a functional and technical understanding of data is crucial for organizations. To unlock new value, we must take a social-scientific and systemic approach to information and act as responsible data stewards.
Have you set out a vision for data? If so, what is it aiming for and does it embrace the whole organization or just the data function?
To unlock the potential of data, the whole organization and all functions and roles need accurate, timely and robust information. They also need to know what they’re working with, when (and when not) to use specific sources and what are the limitations so we can collectively share and use information responsibility. Data functions are crucial for this vision, but we all have a role to play.
Have you been able to fix the data foundations of your organization, particularly with regard to data quality?
My human-centered and systems-based approach, drawn from sociology pushes me towards a more strategic and applied definition of data quality and | look forward to working with other data practitioners to incorporate this perspective in organizational data practices.
