For most organizations today, a modern data architecture isn’t just an option-it’s an urgent necessity. With data distributed more than ever both on premises and in the cloud, data architecture solutions are essential for meeting the specialized needs of the business, applying dataĪnalytics and using data and AI at scale. “Today’s businesses are driven by data in motion and at rest, data in many forms, and data in varying degrees of quality and trust.” “Gone are the days of a single, structured, data-at-rest architecture,” says Paul Christensen, data elite architect, IBM Expert Labs. The framework should be driven by the business requirements and support short-term and long-term objectives. Keep in mind that it’s not a one-size-fits-all formula. That ability hinges on having a modern data architecture in place as part of your data strategy.Ī fit-for-purpose data architecture translates business needs into data and system requirements and manages the protection and flow of data through an organization. As a data leader, you know that deriving value from data comes down to providing the right data at the right time-regardless of where it resides.

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