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    Cloud

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    Pharmaceutical Data & Analytics

    Type of Business: B2B Services
    Location: Durham, North Carolina

    The Problem

    Biopharma service offerings focused on clinical phases of the drug pipeline.

    Analytics generation required pulling data from multiple modules, slowing down business decisions.

    Phase 1

    DISCOVER

    Existing AWS ecosystem but decentralized data for each study.
    Opportunity to consolidate information into one comprehensive
    report and dashboard.

    Phase 2

    ROLLOUT

    Built a central reporting platform on Amazon Redshift which enabled automated data -entry for field users.
    Deployed AWS Glue to automate resource configuration.
    Phase 3

    OPTIMIZE

    Leveraged Amazon QuickSight to speed up insight delivery to sales teams and Customers

    The Impact

    Lowered time spent on every step of the data pipeline, from entry to insight delivery.
    Solution integrated with the rest of the pre-existing AWS ecosystem.
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    Financial Cloud Migration

    Type of Business: B2C, Consultant-driven sales
    Location: Dallas, Texas

    The Problem

    Organization setup on classic experience with generic page layouts.
    Direct impact on sales pipeline due to slow delivery of leads and analytics.
    Phase 1

    DISCOVER

    Low user productivity due to slow data streams caused by repetitive calls.
    Low customer engagement due to lack of mobile App.
    Phase 2

    ROLLOUT

    Adopted Onsite/Offshore Model for cost and time efficiency.
    Developed initial framework for mobile App.
    Migrated Classic Code Base into Lightning Experience.
    Phase 3

    OPTIMIZE

    Continuous Gap Analysis during R&D to better inform Feature development.
    Increase client collaboration to avoid technical debt and drive further efficiency.

    The Impact

    User productivity improved due to faster information flows through the CRM platform.

    Increased collaboration between sales and IT teams.
    Better customer engagement on the App.
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    Healthcare Cloud

    Type of Business: B2C, Consultant-driven sales
    Location: Boston, MA

    The Problem

    Millions of records of data, highly proprietary codebase.
    Slow, insecure data pipeline and low API integration.
    Phase 1

    Discover

    App performance was poor due to using default Azure tools and libraries.
    No 2FA for data access and misconfigured permission management system.
    Phase 2

    Rollout

    Modernized and developed Azure cloud-native application with microservice architecture.
    Developed scalable, self-sufficient and resilient apps with Azure service fabric and Kubernetes.
    Phase 3

    Optimize

    Test and develop 2FA to secure Azure Directories.
    UI upgraded with the Angular Material framework.

    The Impact

    User productivity improved due to faster information flows.
    Better customer engagement due to faster record processing times.

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