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Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
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Performance/Analytics: Used for monitoring website traffic and interactions
As you review the list of predictions above, note that traditional and modern BI tools and Augmented Analytics with Natural Language Processing (NLP) and machinelearning seems destined to co-exist for the foreseeable future. KeyPerformanceIndicators (KPIs). Real Time and Cached Cube Management.
Analytics is vital now because providing end-users with the ability to analyze, slice, and dice data within the context of their application is essential to staying competitive in today’s fast-paced digital world.
These tools enable users to quickly draw conclusions and monitor keyperformanceindicators. Interactivity can include dropdowns and filters for users to slice and dice data. Augmented analytics use machinelearning and AI to aid with data insight and analysis to improve workers’ ability to analyze data.
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