The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.” However, once anonymized, this data can be used for other inferences in what we can collectively define as secondary analyses.

In today’s digital landscape, ensuring the optimal performance of your applications is paramount for delivering seamless user experiences. However, identifying potential bottlenecks is not easy. This analysis is one of the single most important activities in performance testing, but it’s often the most difficult one, and a misstep can cause significant setbacks.

Before shedding light on metadata management, it is crucial to understand what metadata is. Metadata refers to the information about your data. This data includes elements representing its context, content, and characteristics. It helps you discover, access, use, store, and retrieve your data, having a wide spread of variations. Metadata of an image. Image by Astera. Let’s look at some of the metadata types below.

Optable’s end-to-end data clean room platform for the advertising industry integrates with BigQuery to enable audience activation and insights.

Hello, Katalon users and software testing enthusiasts! Today, we’re diving into a common challenge that many of you have encountered: navigating through a web page using the ‘Tab’ key. This blog post is inspired by a real-life scenario shared by a Katalon user on our community forum.

Organizations are swimming in data, but are they actually getting the most value out of it? A recent report by Seagate and IDC found that while enterprise data is projected to increase at 42.2 percent annually over the next two years, up to 68 percent of it may go unused.

Learn why SAP data is the critical ingredient for manufacturing organizations to move from reactive to predictive analytics.