2020 challenged all of us. Remote work forced many companies to rethink their QA processes and the tools and methods they use for software testing. Consumers and customers continued to expect high-quality products, and software development teams needed to maintain their pace of delivery and even speed up in order to stay competitive.
Xray is a powerful and highly customizable tool that can be adapted to fit your needs. We have a vibrant testing community and user base that often surprises us with unexpected solutions and workarounds. Simon Champenois is a QA Manager and member of the “Xray France User Club.” He created a unique workflow that allows Xray users to centralize test automation in Xray and Jira.
Ep. 5: Charles Miller, documentation strategist. To help you fend off documentation from being the Achillies heel of your API product, we have a thirty-year veteran of technical writing on our podcast today. Charles Miller is currently the lead content strategist for APIs at Medidata Solutions, a Dassault Systems company.
The Health Insurance Portability and Accountability Act, or HIPAA, is a federal regulation in the United States that protects healthcare data containing personal health information, or PHI. It also covers Electronic PHI, or E-PHI, which are digital records of this information. The ability to effectively using healthcare data is essential for improving patient outcomes, quality of care, resource allocation, revenues, and other operations.
Powered by advances in machine learning, marketing analytics delivers more bottom-line impact with each passing year. It enables organizations to improve the targeting of ads and other content, optimize their ad spend through advanced marketing attribution, increase customer lifetime value, reduce churn, and more. While technology is making granular targeting and measurement possible, marketers are also doubling down on measures to ensure consumer privacy and data governance in their initiatives.
Mobile sales traffic is growing at an unprecedented rate. In retail and e-commerce, the only way to engage customers in the long-run is by creating intuitive, flawless, and enjoyable mobile shopping experiences that go beyond a single purchase.
A Big Data stack has several layers that take your data from source to analytics tools. Extract, Transform, Load tools integrate data from sources into a data warehouse or lake. Business intelligence solutions use centralized data for their analytic needs. An ETL tool such as Xplenty offers a user-friendly experience for ingesting data from many sources, transforming it as needed, and sending it to the next layer. Here’s how you can implement this handy tool in your organization.
As the world moves forward, it wants to progress, more efficiency, more speed, and the same is the case with the software development industry. Every software development organization wants to save time, effort, and money at every step possible. Software Testing being a major part of software development also needs more efficiency. Thus, comes automation.
Whether or not you know it, your organization is at a tipping point. On one side, siloed and inefficient business processes represent the status quo, and on the other, your organization needs to leave this status quo back where it belongs–in 2020–and rethink and reshape your business. Digital transformation is the Emerald City we’ve been marching towards for years, but the yellow brick road has been far more perilous than expected.
The major differences between Jitterbit, MuleSoft, and Xplenty: Extract, Transform, and Load (ETL) streamlines data integration by consolidating data from multiple sources, turning it into useful formats, and loading it into a centralized location. The world's most successful organizations use ETL to tame big data, produce visual data flows, and garner business-critical analytics. But with so many ETL tools on the market, which one should you choose?
