Cloud migration is a hot topic for businesses seeking to capitalize on the technological advancements of the 21st century. There are many paths to follow, and picking out the right one is a worthy, if not critical, task. To help you on our journey, we have produced a three-article series on the 7 Rs of

Transitioning an organization’s data, applications, and infrastructure from on-premises servers to cloud-based platforms is a complicated project. It’s also a potentially paradigm-shifting move that can boost scalability, flexibility, cost savings, and performance, all in one big effort. Research and planning for a cloud migration project can go a long way to smooth the transition and

Cloud migration has become critical for companies hoping to modernize and compete with optimal agility. Fortunately, many companies that have already made the move provide us with some important lessons learned that can help us lay out a workable blueprint for our projects. In this article, we will explore the evolution and development of cloud

For many businesses, legacy systems started life as a powerful tool to gain market share. Now, these systems present serious challenges that threaten their competitiveness. For modern organizations to remain competitive, that monolithic thing that keeps critical processes humming and business objectives intact needs to be maintained, updated, and integrated with shinier, newer technologies. To

Robotic Process Automation (RPA) has been hailed as a game-changer, promising increased efficiency, productivity, and business cost savings. And deservedly so. However, amidst all the excitement and buzz, it’s always a good idea to delve deeper and acknowledge the limitations and challenges that come hand-in-hand with a brand-new game-changing technology. Let’s explore some of the

The data migration phase of a modernization project introduces a thorny critical path. Companies that have been around for decades, steadily collecting and storing data, have sizable volumes of data to work with, making the task complex and time-consuming. The good news: with the right approach, data migration can be eliminated entirely. Traditional Data Migration