Quantifying the impact of leveraging a modern data architecture built on a common data platform to drive quality, flexibility and favorable financial outcomes.
Senior data leaders would likely agree that they’ve seen data management experience rapid growth in its scope and areas of responsibility over recent years. Though never straightforward, the field was once limited to managing a few critical processes. Operational data was gradually generated by internal and external sources, and that data would be stored in on-premises databases around the enterprise.

To satisfy each area of responsibility, your data management team must determine the appropriate data
architecture to allow you the fullest range of current capabilities and the flexibility to meet future ones,
while considering associated expenses.