Data has always been an important part of any business. A company’s data is its most valuable asset as it contains information about the procurement of resources to the customer relationship. With the rise of Big Data, more companies are trying to collect and store all information about their customers, products, employees, and other aspects of their operations to better understand them.
The performance and resilience of an application are used to measure the speed and scale of an organization. This is one of the key reasons businesses opt to modernize legacy applications using cloud-native technologies and platforms. According to a Gartner report, more than 95% of new digital efforts would be built on cloud-native platforms by 2025, up from less than 40% in 2021.
Imagine releasing a product or application with poor quality. The application is unfeasible to use and navigate from one menu to another. By the time we realize that the features are not generating value for intended customers, it may be too late to make any modifications, and it will be exorbitant to fix them. In such situations, Dogfooding testing helps prioritize features.
Data governance and management is a term that has become more commonplace in recent years. However, many organizations are still struggling with how to implement effective data governance and management strategies. This lack of focus is becoming more and more apparent as the importance of data management continues to grow. Here are the four key pillars that will help you successfully implement your data governance strategy.
By overcoming the established engineering disciplines and tackling each engineering issue, Digital Engineering intends to speed up the development of complex products, systems, and sub-systems. System engineering approaches applied to complex products like jet planes, spacecraft, navigation systems, and others slow down progress for several reasons. Digital Engineering changed that system process into a more fluid, consistent, and workable approach for complex systems.
Organizations can manage daily operations and automate back-office procedures using enterprise resource planning (ERP) software. Financials, accounting, purchasing, project management, risk management, supply chain management, enterprise performance management (EPM), adaptive intelligence, and analytics are some of the ERP capabilities.
Agile methodologies are transforming and speeding up the development lifecycle of businesses, but operations are not being changed or speeded up in the same way. While the operations teams frequently struggle to keep up with this pace, it increases operational challenges in the application landscape. To make the whole IT operation more ‘agile’, it is critical to alter operations to par with how development processes are transformed.
In 2022, we already saw the emergence of payment SaaS, the adoption of Blockchain Technology, and the evolution of Central Bank Digital Currency. We also saw new payment modes like Buy Now Pay Later, Biometric Authentication, and Biometric Payments and an increase in the use of AI and ML in fraud detection. Now, what should we look out for in 2023?
