Listing Thumbnail

    Data Architecture Strategy & Consulting on AWS | Applying

     Info
    Applying Consulting defines your data strategy from the ground up. We assess your current data landscape, design your target architecture — Data Lake, Data Warehouse, or hybrid — and deliver a prioritized implementation roadmap so your organization can finally make decisions based on data, not intuition.

    Overview

    Applying Consulting is an AWS Advanced Partner helping organizations transform scattered, ungoverned data into a strategic asset. Most organizations have data everywhere — databases, spreadsheets, APIs, SaaS tools — but no single source of truth, no governance, and no clear path to using it for decisions.

    Our Data Architecture Consulting service defines the strategy before touching any tool. We evaluate your current data landscape, identify governance gaps, design the target architecture, and deliver a phased implementation roadmap that prioritizes business value over technical complexity.

    What we deliver:

    • Current state assessment: data sources, data quality, governance gaps, team capabilities
    • Target architecture design: Data Lake (S3 + Lake Formation), Data Warehouse (Redshift), or hybrid medallion architecture based on your use cases
    • Data governance framework: ownership, access policies, data catalog, lineage
    • ETL/ELT pipeline strategy
    • BI and analytics layer design
    • Phased implementation roadmap prioritized by business impact
    • Duration: 2–4 weeks

    Why strategy before tools: Many organizations invest in data tools before defining what decisions they need to make. The result is expensive infrastructure that nobody uses. Our consulting engagement starts with the business question — what decisions do you need to make? — and works backward to the architecture.

    Business impact: Data-driven decisions produce better business outcomes. Elimination of manual reporting saves hours per person per week. Identification of hidden revenue opportunities in existing data. A clear roadmap avoids wasted investment in wrong tools or wrong order.

    This service relates to Amazon S3, AWS Lake Formation, AWS Glue, Amazon Redshift, Amazon Athena, and Amazon QuickSight.

    Proven with clients including Quimpac and Gissat.

    Highlights

    • Data strategy before data tools. Applying Consulting assesses your current data landscape, identifies governance gaps, and designs your target AWS data architecture — Data Lake, Data Warehouse, or hybrid — before recommending a single tool or platform.
    • Delivered in 2–4 weeks with a current state assessment, target architecture design, governance framework, and phased implementation roadmap prioritized by business impact. The foundation every data investment needs before execution begins.
    • If your data is in silos, you do not have data — you have noise. Applying Consulting starts with the business question: what decisions do you need to make? Then builds the architecture backward from that answer.

    Details

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Pricing

    Custom pricing options

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

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support

    Applying Consulting provides structured consulting support and deliverable review sessions throughout the engagement.

    Support channels:

    Support scope: Buyers receive a data landscape discovery workshop, current state assessment, target architecture design session, governance framework definition, and roadmap presentation. Duration: 2–4 weeks. Natural follow-on: Data Lake implementation, ETL/Glue pipelines, or BI/QuickSight based on roadmap priorities.