Remove 2016 Remove Healthcare Remove Visualization
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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

Data Pine

Now that you’re sold on the power of data analytics in addition to data-driven BI, it’s time to take your journey a step further by exploring how to effectively communicate vital metrics and insights in a concise, inspiring, and accessible format through the power of visualization. That’s a colossal number of books on visualization.

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How to Spot Misleading Charts, a Checklist

Tableau

Alberto Cairo, data visualization expert and author of How Charts Lie Whether you are reading a social post, news article or business report, it’s important to know and evaluate the source of the data and charts that you view. The graph on the left is missing 2016, 2017 and 2018. Checklist, your guide to reviewing charts Source.

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GS Lab | GAVS wins a STEVIE® Award in the 2024 American Business Awards

GAVS Technology

With capabilities like resource optimization, self-healing, insights on user productivity, transaction journey mapping (TJM), end-point utilization, app journey visualization, software license and patch updates, events centralization, and others, ZIF DX+ empowers organizations to proactively address disruptions and enhance user experiences.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

Data Pine

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

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Why is AIOps an Industrial Benchmark for Organizations to Scale in this Economy?

GAVS Technology

The tools offer various data collection methods, integration of multiple data sources, and generate visual analytical intelligence. AIOps has been relatively new in the market as Gartner had coined the phrase in 2016. AIOps platforms are designed to handle large volumes of data. Because above all, Zero is the New Normal.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

Data Pine

Now that we’ve put the misuse of statistics in context, let’s look at various digital age examples of statistics that are misleading across five distinct, but related, spectrums: media and politics, news, advertising, science, and healthcare. 2) Examples of misleading statistics in healthcare. 4) Misleading data visualization.

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