What is the difference between analytics and augmented analytics? The simple answer is this: augmented analytics provide sophisticated analytics tools in an easy-to-use environment that offers guidance and recommendations, and a natural language processing (NLP) interface that makes it possible for every business user to leverage the solution, no matter their technical or analytical skills or experience.
The benefits of augmented analytics are numerous. The Smarten augmented analytics solution is designed to encourage user empowerment and user adoption. It enables data sharing and allows the organization to produce fast, dependable insights and improve the value of business analysis across the enterprise, democratizing the use of advanced analytics. Empower users with Smarten Advanced Data Discovery. Users can Self-Serve Data Preparation, Clickless Analytics, Smart Data Visualization, and Assisted Predictive Modeling
Augmented analytics and smart data discovery make it easier for business users, Data Scientists, IT staff and the organization to benefit from fact-based decision-making, collaboration, data literacy and the ability to easily, gather, integrate and analyze data. These tools benefit business users but the implementation of augmented analytics also benefits IT staff, and data scientists by freeing them to be more productive and focus on strategic initiatives rather than day-to-day requests from business users. The organization will benefit by enabling a Citizen Data Scientist environment where business users can access and leverage data and use that data to make clear, fact-based decisions.
By combining sophisticated functionality with intuitive, easy-to-use features that enable every user to perform analytics without the assistance of IT or data scientists, the advantages of advanced analytics are put in the hands of every team member and the organization can support data democratization, data literacy and Citizen Data Scientist initiatives for businesses large and small.
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