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Amazon Q Business: Application Portfolio Rationalization Solution

NorthBay’s Amazon Q Business Application Portfolio Rationalization Solution helps enterprises optimize their IT portfolios by identifying redundant, costly, and inefficient applications. Leveraging Amazon Q Business's Generative AI features, our solution streamlines decision-making processes by and enhances operational efficiency, ultimately driving cost savings and improved strategic alignment. Delivered through NorthBay’s collaborative OneTeam Model, we ensure a seamless and adaptive approach to meet your business goals.
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About

NorthBay’s Amazon Q Business Application Portfolio Rationalization Solution enables organizations to efficiently manage their application portfolios by leveraging cutting-edge Generative AI provided by Amazon Q Business. Our solution identifies overlapping functionality, assesses application dependencies, and evaluates application risk, cost and criticality. By providing actionable insights, we help businesses reduce costs, improve application efficiency, and align their IT investments with strategic goals.

NorthBay helps you transform your IT portfolio into a lean, high-performing asset. This offering provides complete transparency into your application ecosystem, empowering decision-makers with data-driven insights for rationalization, modernization, and cloud adoption strategies.

Approach:

NorthBay follows a collaborative and agile approach, combining industry best practices with Amazon Q Business’s advanced Generative AI capabilities. Our OneTeam Model ensures continuous engagement with stakeholders, allowing for flexibility and adaptability throughout the project lifecycle. We prioritize knowledge transfer, equipping your team with the necessary tools and insights to maintain portfolio optimization independently.

Activities:

Data Source Identification: Collaborate with you to identify relevant data sources and determine how to structure application data for the portfolio rationalization process.

Data Integration: Import application data into Amazon Q Business to enable its Generative AI-powered conversational assistant for interactive analysis.

Analysis and Recommendations: Demonstrate how to interact with Amazon Q Business to evaluate overlapping features, strategic fit, cost, and criticality, providing actionable recommendations for rationalization, consolidation, or retirement.

Workshops and Collaboration: Facilitate workshops with key stakeholders to ensure alignment with business goals and conduct knowledge transfer to empower your team for ongoing portfolio management.

Deliverables:

Setup and configuration of Amazon Q Business for your organization

Data integration support to ensure seamless ingestion of application data into Amazon Q Business

Prompting Workflows and templates to enable your team to conduct the APR process using Amazon Q Business

Knowledge transfer workshop for your internal teams on how to use Amazon Q Business for APR, including utilizing Generative AI features and ensure they are fully equipped to manage and operate the solution independently

Ongoing support for any technical issues during and post-implementation

Documentation outlining the configuration, best practices, and step-by-step guides for using Amazon Q Business

Outcomes:

By engaging NorthBay’s Amazon Q Business Application Portfolio Rationalization Solution, your organization can expect:

Reduced operational costs by identifying and eliminating redundant or underutilized applications

Increased efficiency in application management

Improved alignment between IT investments and strategic goals

Clear visibility into application dependencies to avoid disruption

Data-driven recommendations to modernize and optimize your IT landscape

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