The challenges of the past year have led organizations to become more flexible and adapt to changes in workforce, distribution channels, and operations, making data management a critical business differentiator. The shift to cloud adoption is expected to accelerate, with hyperscale cloud providers expanding their services to support massive enterprise workloads at a fraction of the cost of on-premises investments. However, this shift creates challenges for data management, including dispersed data silos, complexity, and governance issues. To address these challenges, technologies like Data Virtualization, Data Integration, and Data Connectivity will be critical in bringing prepared organizations to the next level. Additionally, out-of-the-box connectivity solutions can help solve data fragmentation challenges by unifying how applications interact with data, while simplified data movement and storage solutions can support seamless connectivity from mission-critical data sources. Expanding regulations increase data governance complexities, making clear data storage and governance strategies critical for processing and identifying sensitive data. A logical data layer can provide tremendous value in supporting regulatory compliance, and data connectivity is a crucial initiative for democratizing data and harnessing its strategic value.