Skan for Application Portfolio
Rationalization

Eliminate redundant and non-value-add applications, freeing up budgets for new, business-critical work.

Process Intelligence for Application Portfolio Rationalization

Process Intelligence for
Application Portfolio Rationalization

An application portfolio rationalization program powered by Skan’s AI-powered Process Intelligence generates cost savings from eliminating redundancies, enhanced efficiency through modernization, and improved user experience through targeted upgrades and improvements. Skan's focus on user interactions with software applications provides detailed insights into their day-to-day usage. This data-driven approach ensures informed decisions in portfolio rationalization, basing choices on actual usage patterns and business needs rather than assumptions.

Skan captures usage data across all types of applications

Skan captures usage data across all types of applications

Skan offers a real-time view of the "Telemetry of Work," providing deep insights into workforce, process, and technology intelligence within human-centric operations. Skan's operational intelligence and analysis establishes a reliable measure of "Business fit" by assessing applications based on productivity value, alignment with present and future processes, and accuracy in delivering desired outcomes without manual intervention. This evaluation considers metrics like functional gaps, human effort, error rates, clicks, application switches, and throughput, offering a comprehensive guide for strategic application rationalization decisions.

Application Rationalization Use Case

A leading bank utilized Skan’s AI-powered Process Intelligence to identify redundant and non-value add applications through detailed usage pattern analysis. Additionally, Skan revealed areas for modernization and re-platforming where there was sustained business value but poor technology fit. By gaining visibility into user bottlenecks and pain points, the bank identified applications with good business and technology fit that needed upgrades. This approach led to significant cost savings from eliminating redundancies, improved efficiency through modernization, and enhanced user experience from targeted upgrades, showcasing the strategic benefits of Skan in optimizing complex banking operations.

10 %

Retired

Detailed application usage patterns identified redundant and non-value add applications.

20 %

Modernized

Detailed understanding of workflows and processes uncovered areas of sustained business value but poor technology fit that needed modernization or re-platforming.

35 %

Upgraded

Visibility into common user bottlenecks and pain points identified applications with good business and technology fit that needed upgrades.

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