Shift priorities agilely, to deliver
new capabilities more quickly.
Operate prudently, by modernizing
core components only as needed.
Reinvest cost savings, to finance
future phases of the project.
Legacy applications often have a negative impact on business responsiveness. Since “lift and shift” programs are often expensive, risky, and time-consuming, enterprises require a more systematic and iterative approach to legacy modernization.
A data product approach to legacy modernization tools delivers quick time to value at minimal risk. Here are 3 key business drivers:
1. More for less
Legacy modernization is a cost-effective and efficient way for enterprises to reap the benefits of newer, and more flexible, architectures, platforms, and services.
2. Less is more
When a system is upgraded to support data service automation, components are smaller, and more loosely coupled. They can also be deployed, and scaled, independently of one another.
3. Agility = value
Modernized applications can deliver value more quickly, thanks to more agile development and maintenance cycles. They’re also simpler, and more affordable, to operate.
By continually, and incrementally, modernizing legacy systems, enterprises ensure business continuity, reduce dependence on IT, and improve application performance and value.
Here are 7 steps to assure the success of your legacy modernization tools:
A Data Product Platform continually syncs, transforms, and serves data via data products. Real-time data products deliver a trusted view of any business entity, such as a customer, order, supplier, or device.
Every data product integrates a specific entity’s data from all relevant source systems, into its own, secure, high-performance Micro-Database™. It also ensures that the data in every Micro-Database is always fresh data, masked when required, and instantly accessible to authorized data consumers across the enterprise.
Data Product Platform comes with many built-in capabilities, like data masking tools, and data governance tools.
Data Product Platform lets you systematically decouple the data from your legacy systems.
Once data products are created, software teams can incrementally develop new functionality based on the data products and their APIs. When the new functionality is deployed, its legacy counterpart can be retired, with the Micro-Databases operating as the database of record for the new functionality.
By adopting a data product approach, organizations can decouple their legacy apps from their data, moving critical functionality and data to the cloud, as needed.
For many organizations, legacy systems are seen as holding back the business initiatives and business processes that rely on them. When a tipping point is reached, application leaders must look to application modernization to help remove the obstacles.
— Stefan Van Der Zijden, VP Analyst, Gartner
