Darkhorse
OCTOBER 1, 2019
This is part one of a two-part series on building effective visualizations. In this post, we take a shallow dive into evaluating existing visualizations. It’s very easy to visualize data. It’s very easy to chart your data in current software tools. The visualization gets in the way of the truth.
Sisense
DECEMBER 30, 2019
If you’ve read our Building Data Dashboards for Business Professionals and 6 Tips for Data Teams , then you know how important planning and communication are when building dashboards. In this very visual post, we’ll discuss the elements that make or break a dashboard and dissect two examples. Happy building!
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erwin
AUGUST 6, 2020
It allows both IT and business users to discover the data available to them and understand what it means in common, standardized terms, and automates common data curation processes, such as name matching, categorization and association, to optimize governance of the data pipeline including preparation processes.
CIO Business Intelligence
MAY 25, 2023
The first, dubbed Magic Documents, applies AI to Alteryx’s Auto Insights feature, creating contextualized data visualizations in several forms, including PowerPoint, email and more. Alteryx’s AiDIN engine will power three new features, according to a company announcement Wednesday.
CIO Business Intelligence
SEPTEMBER 7, 2022
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.
Cloudera
JANUARY 30, 2024
Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.
Occam's Razor
JULY 15, 2014
Allow me to visualize the problem above, and leverage that visualization to present the solution. In order to make smart decisions about the data you need four things. As you might have guessed, you are at the very right of the above visual, with most access to data, the ability to analyze it ( inshallah! )
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