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
In recent years, governments around the world have invested heavily in IT modernization initiatives to better serve their constituents with improved services and a higher level of efficiency. Unfortunately, many of these projects have ground to a halt or crashed and burned entirely thanks to a lack of planning or a botched execution. On the
In the ever-evolving landscape of software development, it is not uncommon to encounter legacy applications written in outdated programming languages like COBOL, widely used for business applications from the 1960s to the 1990s. As technology has progressed, the need to modernize these COBOL applications has become increasingly acute. To pave the way, we’ve explored the
