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How to Design Better Dashboards: a Visual Guide

Sisense

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.

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BRIDGEi2i launches two interactive dashboards: COVID19 Global Monitor & COVID Stock Market Impact Monitor

bridgei2i

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.

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Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

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.

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5 surefire ways to derail a digital transformation (without knowing it)

CIO Business Intelligence

“Having bad data, or an inability to realize the value and take action from data, is a surefire way for a digital transformation project to go south quickly, says Dwaine Plauche, senior manager of product marketing at AspenTech. Instead of initiatives telling a cohesive story, it leaves results open to interpretation and challenges.

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Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

The second layer, Data Hub, can ingest data from a variety of sources including on-farm devices, drones, IoT devices and satellites. Agriculture businesses and farmers can use the hub to access structured and contextualized data from various sources for correlation and analysis at scale, the company said.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

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How to Design an Analytics Stack that Humans Actually Use

Alation

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.