Data visualization is synonymous with business intelligence. Like dashboards, it’s a core capability of analytics solutions, and it’s important to know its role in the BI process today. Data visualization is the practice of representing information graphically to communicate and contextualize data. It highlights important changes, patterns and trends using a visual format, such as charts, graphs, maps and plots, to help make data easier to understand.

Ballerina is an open source programming language for the cloud that makes it easier to use, combine and create network services. In addition to the powerful language features, it comes with a rich standard library, which covers network data, messaging and communication protocols.

GEODIS Distribution & Express, a subsidiary of GEODIS, is the leader in France for reliable last-mile delivery service (deliveries within 24 to 48 hours). In 2020 alone, its 115 agencies handled 100 million parcels and carried out 5,000 rounds per day in more than 35 countries across Europe. Nathalie Mandjee, Business Intelligence Manager at GEODIS Distribution & Express, discovered that this part of the company was growing into a profit center for the larger business.

Over the past few months, we have slowly rolled out and enhanced our AI Visual Testing solution during the trial period. This month we are proud to announce the general availability (GA) of Katalon AI Visual Testing that includes additional enhancements. The following reviews all the combined AI Visual Testing features in the GA.

This is the first part of a two-part series about maintainable code in Elixir. In this part, we will show how code predictability plays a crucial role in a project's short and long-term health. We will use Elixir's built-in features for this, like the pipe operator, tuples, and with blocks. First, we'll explain what predictability is and why it is so important. Then we will go through some tools that Elixir already has and how you can use them to write better code.

Machine learning is more accessible than ever, with datasets available online and Jupyter notebooks providing an easy way to explore and train models. In building a model, we often forget that it will be incorporated into an application that will provide value to the user. Therefore, we wanted to demonstrate how we can "use" the models we build in an application.

As companies continuously adapt to shifting data regulations, many have struggled to find a balance between keeping up with lightning-speed regulatory obligations and cultivating organizational success. Uday Kamath, Chief Analytics Officer at Smarsh, expertly navigates the precarious field of data regulations. Serving as a leader of the company’s highly collaborative and productive data and analytics team, Uday offers over 20 years of expertise and experience.

33 experts share their leading dashboard design challenges as well as the dashboards they find are the most difficult to create.

Learn how to format your Google Sheets to ensure accurate data visualization in your shareable dashboards.

In this article, we’ll be sharing some of Google Dev Expert Peter-John (PJ) Welcome’s thoughts on Android DevOps challenges and also get a glimpse into his personal roadmap for mobile success.