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Application
Rationalization

Skan AI's process intelligence tool observes the most complete view of process work so you can understand application usage at the most granular level possible.
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Process Intelligence for Application Portfolio Rationalization

Process Intelligence for
Application Portfolio Rationalization

An application portfolio rationalization strategy guided by Skan AI generates cost savings through modernization and targeted upgrades.

Skan AI's focus on user interactions with software applications provides detailed insights into day-to-day application usage. This data-driven approach to an application rationalization methodology ensures informed decisions in portfolio rationalization based on actual usage patterns rather than assumptions.

Skan captures usage data across all types of applications

Capture usage data across  every application... even mainframes

Skan AI offers a real-time view of the "Telemetry of Work," providing the deepest insights into workforce, process, and technology intelligence.

You'll get application metrics such as:

  • Functional gaps
  • Human effort
  • Error rates
  • Clicks
  • Application switching

Application Rationalization Benefits and Value

One of our clients using Skan AI's productivity insights identified that their employee onboarding process
is highly suited for robotic process automation (RPA) due to its lower cost and ease of implementation.

10%

Retired Apps

20%

Modernized Apps

35%

Upgraded Apps
How Skan AI Works
01

Observe

We observe every application and process activity directly from agent desktops.

02

Analyze

We create a digital twin of operations using our proprietary AI to stitch together activities.

03

Identify

We identify patterns in your process and your best performers.

04

Optimize

You get insights and guidance for optimizations that can save millions.

How Does Skan AI Compare to Alternatives

Leaders have choices these days. Here's a snapshot of how Skan AI's process intelligence compares to alternatives.
  • Process Mining

  • Manual Studies

  • Task Mining

Skan White Logo

Process Mining

Manual Studies

Task Mining

Observes ALL apps
No integration
Scales to thousands of agents
Finds app switching patterns
Compares top vs. average performers

FAQs About Application Rationalization

What is application rationalization?

Application rationalization is a systematic evaluation of an organization's software applications to identify which should be kept, consolidated, modernized, or retired. It helps optimize the application portfolio while reducing costs and complexity.

What are the benefits of application rationalization?

 The key benefits include:

  • reduced IT costs
  • improved operational efficiency
  • decreased technical debt
  • enhanced security
  • better system integration
  • clearer visibility into the application portfolio's business value and performance

Why do companies need an application rationalization strategy?

Companies need this strategy to prevent application sprawl, control costs, maintain compliance, reduce redundancy, and ensure their technology investments align with business objectives. It's essential for digital transformation and modernization initiatives.

What is the application rationalization process?

The application rationalization process involves inventorying current applications, assessing their business value and technical health, categorizing applications (modernize, sunset, replace, consolidate), creating a roadmap for changes, and executing the transformation plan with regular monitoring.

What are examples of application rationalization best practices?

Key best practices include establishing clear evaluation criteria, involving both IT and business stakeholders, documenting dependencies between applications, prioritizing high-impact/low-effort changes, and maintaining regular portfolio reviews to prevent future bloat.

What are common application rationalization mistakes?

Common mistakes include focusing solely on technical metrics while ignoring business value, failing to engage key stakeholders, not considering application interdependencies, rushing the retirement of legacy systems without proper planning, and neglecting to establish ongoing governance processes.

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