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How to Design Better Dashboards: a Visual Guide

Sisense

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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Alteryx works in generative AI for speedy analytics results

CIO Business Intelligence

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.

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Achieving Trusted AI in Manufacturing

Cloudera

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.

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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

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Alation 2023.1: Empowering Business Users in Microsoft Office

Alation

Most enterprises rely on Microsoft Office applications like Excel for visualization and analysis and Teams for collaboration; therefore, it is important to bring trusted data to users where they already are. With this release, business users can self-serve contextualized data. Where do these business users work?

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What Is Data Literacy?

erwin

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.