IT-Modernization as a promoter of successful business transformation

Data-driven IT modernization is a concurrent topic during times of fast progressive technological advancements and Big Data. Yet, a lot of companies find themselves unable to make the jump from old and slow systems – that do not serve the current demands – to upgraded ameliorated tech architecture that would facilitate business flows.?

Why is that?

The problem stems from the fact that technology leaders are facing several challenges that make it much more difficult to enable their existing systems to adapt to new requirements. This is due to the lack of scalability and flexibility that results from those systems having been added gradually over time to manage expanding business demand.?

Consequently, a lot of leaders struggle with IT-optimization since they do not know where and how to start, let alone what costs would be associated with the process. However, this does not imply that all traditional systems need to be rendered obsolete. Instead, they should be recomposed and restructured to increase scalability, flexibility, resilience, and cost effectiveness.

When exactly should leaders consider data-driven IT-Modernization?

Companies face a range of challenges that clearly indicate the requirement to modernize a given legacy application in order to make use of technology as an enabler for higher quality and growth.

What technological shortcomings require data-driven IT-Modernization?

Missing flexibility in solution design as well as high efforts with the implementation of functional and non-functional requirements pose serious threats for firms. Whereas functional and non-functional requirements are a prerequisite for an application to run smoothly, flexibility is a necessity to be able to?adapt to different environments, configurations, or user expectations.?Evidently, the longer this issue is avoided, the more vital the problems caused.

In addition, cumbersome feature development and long maintenance times lead to congestions.?Naturally, tech products require continuous maintenance to achieve the required performance and to prevent most problems with your technology infrastructure. Similarly, high change-failure rates and diffident feature deployments might be worth a reconsideration of the firm’s existing legacy application. Obviously, a high rate of code changes that lead to failures in production should also be prevented.

What does data-driven IT-Modernization do?

Clearly, methods and processes must become more agile to keep track with the rapid change in IT, and once tech leaders recognize the potential of data-driven IT-modernization, they tend to manage data architecture much more successfully, benefitting in numerous ways.??Basically, advanced computing and visualization technologies – such as?exxfer – make it possible to intelligently analyze entire system landscapes. IT-Managers gain important insights: System utilization and capacity, performance or bottlenecks, user behavior, data growth, but especially which parts of the system and which data are really being used. This data analysis enforces the existing system’s transition to more flexibility and maintenance efficiency. Hence, fast and flexible changes of functionality, small increments, frequent releases as well as secure and stable feature development do not pose a problem anymore. exxfer allows for an unbundling of monolithic systems and support decoupling of components with low cognitive complexity and fully automated quality assurance by making use of different deployment tactics. This leads us to the last question:

Are you sure your IT-architecture is up to date?

If you want to learn more about exxfer and how exactly we can support you with the identification of bottlenecks, quantification and visualization of technical potential, feel free to contact me.