Advancements in data and analytics are helping organizations reinvent themselves. The cloud is key to these transformational efforts, promising faster deployment, improved self-service, lower infrastructure administration, and greater scalability. EMA contends, however, that focusing solely on these short-term gains is a short-sighted approach.
Instead, a coordinated cross-organizational approach—with input from business stakeholders, data science teams, and data engineers—is essential to the success of hybrid and multi-cloud deployments of traditional, predictive, and machine learning analytical initiatives.
Download this EMA analyst report to understand the many benefits of a coordinated data environment, including:
- A single set of data assets supporting self-service and collaboration instead of a silo or replica for each workload
- A consolidated data layer ensuring enterprise-wide data management, visibility, security, and governance
- The speed and flexibility required for complex, multi-disciplinary analytics use cases
- Support for multi-cloud, private cloud, public cloud, and hybrid implementation strategies