“Transformation of current working systems reduces cost, decreases time to market, and utilizes existing business logic in modern frameworks.”
We start with Business process re-engineering, imagining the possibilities and marry the desired corporate directions with technological advances including transformation.
Automated Conversion methods
Automated Methods and processes
Analysis is the key for developing a functional and business roadmap to determine if existing systems can be modernized. After determining this one fact the following actions can occur:
- Analysis, both business requirements and technical application dependencies
- Targeted transformation, not an all or nothing solution
- Management and testing of converted systems
- Implementing new technology
We analyze existing legacy systems Cobol, PL/1, RPG, etc, transform them to desired platforms .net, sql, c#, Java. Etc.
Transformation, “a thorough or dramatic change in form or appearance.” Utilization of these core systems will transform the cost associated with supporting these systems to cost in developing modern client facing services.
Processes and Steps
Depending on your legacy language will depend on which automated processes we will apply to modernize and transform to a modern language. The process is iterative and utilizes active instances of the code to update while the conversion process is applied. There are no other processes that will provide time to market advantages and cost reductions like automation while implementing new business directions.
“The Assessment Process is a necessary requirement regardless of which approach a client uses to retire, convert or re-write the legacy application.”
The decomposition process converts to a series of data objects exactly preserving the business logic associated with the old code format.
Preconfigured and tested Parsers are applied to breakdown the code and logic before recombination.
Regardless of which way you transform the necessity to normalize the data is critical in implementing new applications. By combining the business logic with the newly converted and normalized data structures data mining, client trend analysis, and data structure improvement will be attained. All of this is managed and applied in concert with our industry specific program and project managers verifying and testing as we achieve close to 100% transformation.configured and tested Parsers are applied to breakdown the code and logic before recombination.
Infiniam Analytical Services implementation processes are the next step in transformation success. A well defined methodology and adherence to strict rules will ensure the completion of a successful project. Since we use an iterative process we continually verify actual business requirements vs transformational output. The process is circular until we reach close to 100% converted and working code and data. As part of our solution sets we focus this as part of an overall new business design utilizing existing working applications thus saving time to market issues and cost.