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Showing posts with the label Quality Assurance

5 Powerful Tools Every Business Needs to Start with Business Analytics

  I n troduction   In today’s data-saturated world, successful businesses aren’t just collecting data but making sense of it. Whether you’re a startup looking to optimize operations or an established enterprise aiming to uncover new revenue streams, business analytics is the key to unlocking smart, strategic decisions. But getting started can feel overwhelming without the proper foundation.   That foundation starts with the tools . From organizing raw data to visualizing insights and making data-backed decisions, the right business analytics tools can help transform your business from reactive to predictive, even prescriptive. In this article, we’ll explore five essential tools that every business needs to build a solid analytics strategy and how they fit into a broader data engineering solution designed by data engineers.    Top 5 Tools for Business Analytics   Power BI / Tableau: Visualize to Realize   The first thing that likely comes to mind w...

What is QA Testing: Best Practices for Quality Assurance

  What is QA Testing: Best Practices for Quality Assurance To ensure the highest quality possible, teams must perform detailed testing of the system. They must employ a variety of testing methods. Strategies such as functional testing, regression testing, and a combination of manual and automated tests can help keep the system error-free. Take a look at this guide as we explore the answer to “What is QA testing?” and what are its benefits to your project. When software is created, the goal is to deliver the best possible product to the customer. However, quality starts to fall short as companies struggle to keep pace with customer demands for the latest features. The outcome can be costly. According to the Consortium for Information and Software Quality, poor software quality cost US companies  $2.08  trillion in 2020. Keeping the system bug-free requires dedicated effort at all project phases. That’s where quality assurance (QA) comes in. With QA, teams take planned step...