Remove Contextual Data Remove Dashboards Remove Modeling
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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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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

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. Not only is data larger, but models—deep learning models in particular—are much larger than before.

IT 364
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Oracle launches a new sustainability app for Fusion Cloud EPM

CIO Business Intelligence

Fusion Data Intelligence — which can be viewed as an updated avatar of Fusion Analytics Warehouse — combines enterprise data, ready-to-use analytics along with prebuilt AI and machine learning models to deliver business intelligence.

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

CIO Business Intelligence

One recent study shows that only 50% follow a product-centric operating model focusing on customer centricity and delivering delightful customer experiences. Consider how it looks to nontechnical executives when every digital transformation initiative has customized dashboards, different KPIs, and metrics with underlying data quality issues.

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

CIO Business Intelligence

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs.

B2B 105
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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. Any “modern” data analytics stack must allow people to work in familiar ways. Business users are told that they must be data-driven and they must justify decisions with data.

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The Enterprise AI Revolution Starts with BI

Jet Global

Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.