ZenTao Blog

ZenTao once again stands out from the crowd as the most common test management tool in the industry. This is the eighth year in a row that ZenTao has been the winner of "Common Test Management Tools"!

Before we dig down on to consider migration from Jira to ZenTao, let’s start with the basics, for business positions, who might be new to this. We’ll briefly introduce you to Jira, it’s the most popular alternative — ZenTao, and then touch base on the most common reasons, why businesses decided to move from Jira to ZenTao.

Growth Methodology

The article explores the synergy between customer success and product management in enhancing SaaS products, emphasizes the importance of steering SaaS products through their lifecycle, understanding customer needs, scalability, and prioritizing features.

To build high-quality software faster, you must understand that there’s no one-size-fits-all approach to software development. Depending on the project requirements, team size, and vision, you may need to follow specific software development approaches called software development methodologies.

Wondering how a product manager can develop a strategy that actually works and delivers solid results? Read this post to find a complete step-by-step guide.

Software project management is a crucial discipline that ensures the successful delivery of software projects. It encompasses various processes and techniques to effectively plan, organize, and control resources and activities necessary to accomplish project goals. In this article, we will provide a comprehensive overview of software project management, discuss its advantages, and introduce ZenTao, a popular project management software that supports agile project management methodologies.

This article provides an overview of private cloud and hybrid cloud models. Private cloud refers to a specialized mode of cloud computing where organizations can deploy it within their firewall in their data centers or in a secure hosting facility for exclusive use. It offers effective control over data, security, and service quality and can be provided by a company's own IT department or a SaaS service provider. On the other hand, hybrid cloud combines the convenience and usability of public cloud with the security and stability of private cloud, making it suitable for medium to large enterprises with sensitive data requirements.

This article provides insights into the SaaS public cloud model, a cloud-based approach that offers comprehensive infrastructure, software, servers, databases, and security measures for enterprises. It eliminates the need for purchasing hardware, establishing data centers, and hiring IT personnel. Users can access the software anytime, anywhere through a browser or mobile device. The article discusses the advantages of the SaaS model, including convenience, cost-effectiveness, ease of use, customization, and rapid deployment. It also addresses the challenges related to data security and highlights the improved security measures in the current SaaS technology.

Encouraging ongoing learning in an organization is crucial for long-term success. This article examines how you can create a workplace culture that inspires active knowledge-seeking.

Managing customer expectations is crucial in software project management. Customer expectations go beyond the stated requirements and involve understanding their desired outcomes, dreams, and overall success. This article explores the concept of customer expectations in software projects and discusses strategies for effectively managing them. It emphasizes the importance of early expectation management, addressing customer emotions, sales team involvement, prototype design, regular progress communication, and the core role of effective communication throughout the project lifecycle.

Artificial Intelligence (AI) technology has changed the world. Today, we have numerous tools based on AI that help people in their professional and everyday lives. For example, ICOholder automatically gathers information about cryptocurrency so that investors and traders can use it to their benefit. However, the usage of AI raises serious concerns. It's crucial for developer companies and their programmers to account for many ethical issues that AI entails to ensure their products don't harm entire communities. This article covers the importance of discussing ethical dilemmas related to AI programming. It also covers all issues and challenges that AI programmers face during the development of their projects.