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Service Delivery Intelligence Module

  • SLA Alert:

    Impending Bottleneck in Hong Kong IT Team, team throughput predicted to slow down by 40%

    Business Impact:

    1. Incident response time predicted to be 3 days above accepted SLA and Lead Time for tasks assigned to HK team predicted to increase 60%

    Recommended Actions:

    1. Re-Route part of P1 CRs and Tasks to the San Francisco team so as not to impact P1 CRs and Tasks lead time

  • Excellency Alert:

    Java team 2 is 2 days ahead of sprint,  75% capacity used will soon be available

    Business Impact:

    $10K of ROI impact per day if Java Team 2 is 75% idle

    Recommended Actions:

    Reassign selected stories  that are behind schedule from Java Team 1 to Java Team 2

  • Resource Alert:

    QA Team assigned to Pegasus project will be soon in under capacity. Current predicted delay for task completion: 1 month

    Business Impact:

    Pegasus Project is a P1 project with an overall budget of $100M. 1 month delay will lead to an exceed of project budget by $3M

    Recommended Actions:

    Assign all available QA resources from other project to Pegasus QA team; Consider adding 10 additional external QA resources.

  • Excellency Alert:

    In Q3, NYC Python team has been consistently ahead of schedule by an average of 25% on all their tasks.

    Business Impact:

    Q3 cost saving realised $27M.

    Recommended Actions:

    Consider promoting the NYC team leader to oversee the HK Python Team which was consistently behind schedule in Q3 by 33%

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A cutting-edge IT Service Delivery Intelligence Tool

DeepCoding’s Service Delivery Intelligence Module sits on top of existing ITSM systems, uses advanced data science algorithms to analyse how your service delivery organisation performs, and provides impactful improvement recommendations.