The Data Dream Team: Enhancing Organizational Value to Achieve Mission Success

Organizations continuously seek new ways to automate and accelerate their ability to make better-informed decisions driven by quality data. As a result, information creation and the associated ability to process data grow exponentially. As a result, organizations can no longer afford to see data as a byproduct and must value it as an organizational asset. To maximize the robust power of data, dedicating organizational resources throughout the operational life cycle will be more vital than ever. But where should those resources be allocated, and who in the organization is positioned to make the most of them? Dedicated data teams provide an organizational nexus for data collection, transformation, and utilization.

This allows teams’ able leaders to see through the fog of ambiguity and achieve clarity in the data. Data and Analytics are no longer a luxury reserved for the largest of organizations. It is essential l for survival in the digital age. Before organizations think of employing next-gen capabilities like Machine Learning (ML) and Artificial Intelligence (AI) on a scale, they must truly understand the environment and people involved to make that a reality. This paper seeks to expand the understanding of what is a data team, how to approach developing a team, and which roles are needed.