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You can view business intelligence as an extremely powerful datadiscovery tool that is an extension of your fast thinking mind. They enable powerful datavisualization. To make the most out of it, there is an important dimension to disclose: datavisualization. Improve your customerexperience processes.
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It’s clear that data is one of the most important assets of the future. Organizations want to optimize their end-to-end customerexperience, to improve productivity, and to engage the workforce in new ways. All of these things require data and analytics. Good datavisualization is vital.
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In this blog post, I summarize several of the key takeaways from this research paper and share my thoughts on how its findings can help us build the next generation of datavisualization tools for data science. . What is data science? It turns out data science is different things to different people.
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This is in contrast to traditional BI, which extracts insight from data outside of the app. According to the 2021 State of Analytics: Why Users Demand Better report by Hanover Research, 77 percent of organizations consider end-user data literacy “very” or “extremely important” in making fast and accurate decisions.
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Existing applications did not adequately allow organizations to deliver cost-effective, high-quality interactive, white-labeled/branded datavisualizations, dashboards, and reports embedded within their applications. Embed advanced functionality like self-service, datadiscovery, and administration for external use.
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