Helping Large U.S Bank Modernize Their Data Models

In this case study, PeerIslands helped one of the largest banks create a highly efficient data model and seamlessly transition their data in MongoDB in record time with reduced risk.

Impact

MongoDB Utilization

MongoDB is utilizing PeerIslands’ large bank template as part of its strategy to drive similar MarkLogic replace opportunities with other customers

Additional Transformations

Impressed with PeerIslands’ critical contributions, customer is engaging us for additional application transformations

Migration Record Time

Successfully completed the migration in record time and designed a solution that achieved customer’s core objective of zero impact to 100+ applications dependent on Marklogic database

Superior Performance

Engagement complexity and business risk reduced significantly while delivering superior performance

Timeline Reduction

Solution will reduce overall timeline by 6 months

Context

     

    • Customer was looking to transform a top 10 critical application built on legacy technology that wasn’t scaling to projected growth

     

    • Facing fundamental issues with Marklogic impacting mission critical applications, customer needed a solution to rapidly migrate away from Marklogic

     

    • Customer selected MongoDB as the optimal technology for this transformation, and planned to execute the engagement over 18 months using internal resources supplemented with a services partner

     

    • However, as the engagement progressed, MongoDB realized that neither the company, nor their services partner, had the requisite expertise to execute the transition and PeerIslands got involved

      Solution

         

        • Leveraged proprietary IP to identify significant performance issues with Largest Bank’s proposed data model

         

        • Designed a highly efficient data model that significantly enhanced application performance

         

        • Designed data migration strategy from legacy platform

         

        • Designed and developed a solution that enabled the customer to seamlessly transition the application to MongoDB without impacting any of the 100+ dependent applications

        •  

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