Data virtualization transcends the limitations of traditional data integration techniques such as ETL by delivering a simplified, unified, and integrated view of trusted business data.
With all the hype around AI, it is easy to lose sight of how machine learning has already transformed the way we work, particularly in the realm of data analytics. Machine learning is changing how organizations think about data and evolving the role of the analyst in the process.
This white paper is intended for federal employees seeking to improve how their organization uses data to help their agency achieves its mission. This includes anyone who is governing, managing, securing, sharing, and storing data, and are interested in learning the Tableau perspective on how to deploy analytics at scale, and achieve the goals of the Federal Data Strategy
The President’s Management Agenda (PMA) stakes out a bold position on data—in fact, much bolder than many people recognize. The PMA puts data front and center, identifying data as a strategic asset and one of three drivers of
transformation in the federal government. This shift to data-driven decision-making and evidence based policy-making has important ramifications for agency analytic programs.
As part of the President’s Management Agenda (PMA), a framework for a new, data-centric approach is taking shape – one that aligns technology, policies, and records to support evidence-based decision-making.