The future of advanced analytics is here with the Smarten augmented analytics products and modules, designed with sophisticated features that are intuitive to use and auto-suggestions, guidance and recommendations that are easy enough for every business user.
All you need are the right self-serve tools. Imagine a world where your users can leverage Smart Data Discovery and Augmented Analytics, and leave behind restrictive ‘Static Packaged Dashboards’. Empower your users to become Citizen Data Scientists and provide them with tools that encourage collaboration, data sharing, data popularity and data literacy across the enterprise.
Smart data discovery tools and augmented data preparation features allow business users with average skills to perform data preparation and transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language. Self-Service Data Prep enables data extraction transformation and loading, providing ETL for business users so the team can quickly move data to the analytics system without waiting for IT staff assistance.
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Predictive Analytics for business users provides predictive modeling capability assisted by auto-recommendations and auto-suggestions to simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a data scientist. These tools allow business users to apply predictive analytics to any use case using forecasting, regression, classification, clustering and other algorithms to analyze an infinite number of use cases and address customer targets, cross-sales opportunities, pricing, risk assessment and promotional targets and buying behavior.
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Smart data visualization allows business users to view and analyze data to identify a problem and clarify a root cause and to make confident decisions. Business users can interact easily with data discovery tools and analytics software and build a view that will tell a story using guided visualization and recommended data presentation so there is no need for assistance or delays. Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.
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Advanced analytics with Natural Language Processing (NLP) provides a familiar Google-type interface where a user can compose and enter a question using common human language. For example, a business user might ask, ‘who sold the most bakery products in 2017 in the Southwest region?’ With natural language processing search capability, users do not need to scroll through menus and navigation. They can simply enter a search query in natural language and the system will translate the query, and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions.
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The Auto Insights Smarten toolset allows business users to simply select the dataset to be analyzed and let the system interpret the dataset, select important columns of data, analyze its type and variety and other parameters and use intelligent machine learning to automatically apply the best algorithm and analytical technique and provide data insights
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Smarten includes comprehensive Business Intelligence & Reporting capabilities to allow business users out-of-the-box mobile business intelligence access with personalized dashboards, multidimensional key performance indicators (KPIs), and deep dive analytics to find the root cause of a problem or identify a business opportunity with features that encourage and support Social BI and collaboration.
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Smarten reflects the evolution of modern business intelligence with augmented analytics and advanced analytics features and functionality in a self-serve, guided environment with auto-recommendations and suggestions to lead business users through analytical techniques and processes and engender the Citizen Data Scientist environment. And, it’s all in one platform and application!
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