Intelligent Application Decommissioning

Alleviate the burden and cost of maintaining legacy systems. Retain and leverage all the content within them in a secure yet accessible manner. Truly harness your company’s knowledge. Turn one of your greatest liabilities into one of your greatest assets.

Old Hardware Retirement – Allows retiring outdated hardware, cutting maintenance and energy costs.

Reduced Licensing Costs – Centralization reduces the need for multiple application licenses, simplifying compliance and saving money.

Lower Support Costs – Simplified data management leads to fewer support expenses, as IT can focus on one platform rather than several.

Improved Data Governance and Compliance – Centralization facilitates better data governance, ensuring regulatory compliance and reducing legal risks.

Enhanced Data Quality – The data migration process improves data accuracy, boosting decision-making, reducing errors, and saving resources.

Storing data, regardless of its origin, plays an indispensable role in contemporary Information Technology (IT) operations. The primary objective after archiving data is retrieval. This solution delivers robust and user-friendly search capabilities of archived data.

Extract Data from Aging Systems, Destined for Retirement
By allowing business users to search for data using familiar terms and concepts from their respective domains we empower users to take control of their data requests, enabling them to access archived information independently, without relying on the IT department. This shift expedites the retrieval process and reduces the burden on IT resources. Allowing IT to focus on more strategic initiatives.

Perform Comprehensive Searches Across Multiple Datasets
Searching across multiple datasets is generally a cumbersome endeavor, hindered by the scattered nature of data storage across various systems. Now, with all relevant information residing within a single, cohesive system, business users gain unparalleled access to insights and correlations that were previously obscured by data fragmentation. This supports more informed decision-making processes.

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