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I'm excited about the power of a well created dashboard. Dashboards are every where, we will look at a lot of them in this post and they are all digital. Here's a great dashboard, for the Museum of Art… take a minute to ponder it… Isn't it pretty awesome? They are data pukes. Still a data puke.
Better dashboards, better decisions. A well-constructed and organized dashboard empowers users to make better data-driven decisions. But how can you recognize readability issues in your dashboards while you build them to avoid wasting time and endlessly redoing your work? Pitfalls of a disorganized dashboard.
If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. Data Science Layers. If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code.
BRIDGEi2i, a leading AI consultancy, has launched two interactive dashboards that highlight the impact of COVID19 globally across businesses and communities. The Global COVID-19 Monitor gives live insights on the spread of the pandemic across the world and allows you to slice and dice data from many perspectives. www.BRIDGEi2i.com.
It isn’t uncommon for a business user to see something on a dashboard that intrigues them and submit a request to the BI team for that data. Business users are told that they must be data-driven and they must justify decisions with data. Companies with 2,000+ employees have an average of 175 applications.
Thankfully, with widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated daily are presenting a new problem for businesses—what data matters? How should data be tagged, sorted, grouped, and analyzed?
Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? So how is the data extracted?
Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? So how is the data extracted?
Too often, organizations conflate dashboards with intelligence. These are your standard reports and dashboard visualizations of historical data showing sales last quarter, NPS trends, operational thoughts or marketing campaign performance. The new analytics mandate is descriptive, predictive and prescriptive in context.
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