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    Data Strategy Assessment & Roadmap

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    As companies aim to become more data-driven, we help clients through all phases of the data strategy process. CapTech recommends an overlapping three-phase approach to planning, implementing, and leveraging new data capabilities that resolve current limitations with data and empower sustained business value creation. This process starts with our AWS Data Strategy Assessment and Roadmap engagement.
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    Data Strategy Assessment & Roadmap

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    Overview

    Phase 1: Discovery & Planning

    Current State Assessment - Understand Existing Landscape

    • Objective:
      • Assess current data architecture, processes, & maturity based on stakeholder interviews, process reviews, & program discussions.
    • Duration: 1-2 weeks
    • Deliverables:
      • Current state reporting inventory.
      • High-level data flow diagrams for in-scope source systems.
      • Identification & Classification of key data elements used for reporting.

    Future State Definition - Determine Desired Capabilities

    • Objective:
      • Recommend ways data may be used for business value creation and the technology & tools required to meet recommendations.
    • Duration: 2-4 weeks
    • Deliverables:
      • Recommended target state data architecture.
      • Recommendations for AWS services supporting ingestion, storage, compute, and visualization.
      • Technical blueprint for data ingestion, transformation, and visualization.

    Implementation Roadmap - Map an Actionable Path Forward

    • Objective:
      • Develop an informed, actionable plan for implementing improved data access, reporting, and business decisioning capabilities powered by AWS.
    • Duration: 1-2 weeks
    • Deliverables:
      • Investment plan and roadmap to support short, mid, and long term visions.
      • Prioritized set of actionable user stories for Phase 2 delivery.

    Highlights

    • Analyze data availability and quality from internal and external sources and determine any additional data necessary to provide the best insights and value creation to the business.
    • Define and design the right data architecture, including evaluation of AWS data capabilities, to ensure business needs are met, key questions can be answered, and critical decisions can be made.
    • Identify, prioritize, and develop specific analytics capabilities and use cases, from diagnostic to machine learning and AI, to inform business processes and drive new value creation.

    Details

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    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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