LEGACY SYSTEM UPGRADE

We know legacy system upgrades are fraught with risk, leading a majority of our clients’ competitors to not take on that project.  Our clients have exploited this dynamic in their favor - we have seen our clients that engage in projects like this experience near immediate growth post launch. We’ve come to learn the two key elements to making a good decision include understanding what workflows are taken for granted (and not easily seen in visual workflows) and selecting the right vendor to support you in this upgrade.

To maximize your chances of success with AI, you must have data that serves the business.  We believe that to do this, you first have to design an app that users want to use - usage of your application means accurate, consistent and streamlined data collection. Second, thinking through how you will collect, store and analyze your data so it’s efficient and meaningful requires thoughtful architecture and database design. Finally, combining all data sources with an eye toward what kind of business decisions need to be made helps to ensure reporting actually supports decisions rather than just piling on more information.

As employment costs continue to rise, our clients with older technologies are feeling the pain even more than usual.  Experts in older technologies were already more expensive than experts in newer technologies, simply because they had more experience. With a 20% increase in billable rates across the board, costs at the higher end of the spectrum are accelerating beyond what our clients can budget for, so when older operating systems sunset support, our clients are taking this opportunity to to not only benefit from the best in modern technology, but also lower their costs across the board.