The demand for analytics continues to grow. More organizations want to advance beyond dashboards to self-service analytics and more sophisticated algorithms such as machine learning.
To support this trend, enterprises are moving towards a unified environment for data and analytics. This platform is often cloud-based to take advantage of scale and flexibility and support massive amounts of data and compute-intensive workloads. It is automated and augmented to help address data and analytics complexity.
This TDWI Best Practices Report examines the adoption, use, challenges, architectures, and best practices for unified platforms for modern analytics.