When this utilities enterprise needed to modernize its meter data management platform, they turned to Qualitest looking for a 100% error-free integration across three of its utility businesses.
When this global data management company needed more efficient testing and automation across all their modules, they turned to Qualitest.
Gain insights into best practices and technologies for safeguarding sensitive financial information with data assurance for capital markets companies.
What you need to know about blockchain technology: from cryptocurrency and smart contracts to decentralized finance and beyond, read on to understand both the now and the future of blockchain and decentralized technology.
Big data is increasingly used to gain valuable insights from the numerous data points within the banking industry. But is your bank set up to embrace big data or are you held back by its inherent challenges? Our new infographic illustrates the increasing importance of big data to the banking industry, its challenges and solutions to aid adoption.
In our new ebook, Qualitest urgently calls for a paradigm shift in how big companies protect big data. The ebook also reveals how machine learning and automated testing hold the keys to the efficacy boost that today's cyber defenses need.
With quality engineering embedded into your business process, you can focus more on the data observability and make sure that the data in that data lake is high on the quality quotient.
Until fairly recently many companies in this sector have, to varying degrees, neglected the importance of the big data they have been capturing, and the fundamental benefits to a business that it can bring.
A business may choose to reduce the risk level against the data migration, but it is always prudent to start off with data migration as a high-priority task to ensure it is successful.
The tech industry has been abuzz about big data lately; everyone from the medical industry to the government of China has been tapping into it...
Big Data is perceived as a huge amount of data and information but it is a lot more than this. Big Data may be said to be a whole set of approach, tools and methods of processing large volumes of unstructured as well as structured data. The three parameters on which Big Data is defined i.e. Volume, Variety and Velocity describes how you have to process an enormous amount of data in different formats at different rates.