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The demand for analytics continues to grow. At TDWI we see more organizations looking to advance beyond dashboards to self-service analytics and utilize more sophisticated algorithms such as machine learning (ML). To support this trend, companies are modernizing their data and analytics environment as well. The trend is towards a unified environment that provides an integrated set of tools that address many aspects of the data and analytics life cycle, including data management and development and deployment of sophisticated analytics. The 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.