5 Reasons Dashboards Don’t Work for Advanced Data Analytics
from Intelligent Data Exploration Hosted by Amanda Derrick
Approximately 2.5 quintillion bytes of data are produced every day (for reference, there are 18 zeros in that number!). Companies contribute an immense amount of data to those bytes and for a long time, BI dashboards were enough to make sense of all that information. But as datasets continue to grow and become more complex, the limitations of BI tools are leading to a mind-numbing phenomenon known as “Death by Dashboard.” Similar to the “Death by PowerPoint” meetings featuring decks with 100+ slides, BI dashboards are being packed with reports and data points until they resemble an abstract painting more than a tool for deriving valuable business insights. There’s simply too much information in them to be helpful or digestible. Teams who are using overpopulated dashboards are failing to deliver on the value within their treasure trove of data. But the answer isn’t to put less information in your dashboard either because this won’t give you an accurate picture of your business. Instead, to gain strategic business insights, you need advanced and AI-guided analytics tools that allow for deeper exploration of your data.
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Approximately 2.5 quintillion bytes of data are produced every day (for reference, there are 18 zeros in that number!). Companies contribute an immense amount of data to those bytes and for a long time, BI dashboards were enough to make sense of all that information. But as datasets continue to grow and become more complex, the limitations of BI tools are leading to a mind-numbing phenomenon known as “Death by Dashboard.” Similar to the “Death by PowerPoint” meetings featuring decks with 100...
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