Data modernization, especially through cloud migration, is critical to realizing value from today’s fast, diverse, and high-volume data. Modernization is about overhauling legacy data management and practices that hold organizations back from achieving business goals, improving resilience, and reducing risk. However, often overlooked in the rush to develop new applications and migrate data is modernizing data governance. Poor attention to data governance will bake problems into overall modernization efforts that become hard to correct, increase risks, and ultimately reduce the value of data.
- How effective are your current data and analytics initiatives
- What trends will most impact how you utilize data and analytics in 2019 and beyond
- What must you do to maximize data and analytics in your organization
As companies shift their Big Data to the cloud and hybrid environments, the need for Big Data analytics and a corresponding long-term analytics strategy has become increasingly critical. Here’s your opportunity to listen to experienced Big Data practitioners articulate their best practices in building successful, long term analytics architectures.
No industry relies more on data analytics for innovation than telecommunications. From increases in data volumes, the rise of 5G, and more and more connected devices, only the organizations that invest in a modern data infrastructure will be prepared to integrate, process, and analyze the mountains of new data. What are you doing today to get ready?