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Case Studies

  • Transforming City Property Data into Actionable Geospatial Intelligence for St. Louis

    Transforming City Property Data into Actionable Geospatial Intelligence for St. Louis

    Using Alteryx and Tableau, AspirationalX converted property records into a scalable decision-support platform that improved urban planning, vacancy analysis, and redevelopment efforts.

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  • Optimizing a Big Data ETL Pipeline with Alteryx and Apache Spark on Databricks

    Optimizing a Big Data ETL Pipeline with Alteryx and Apache Spark on Databricks

    AspirationalX developed a scalable big data ETL pipeline using Alteryx for rapid prototyping and Databricks for production, reducing development costs by 90%, shortening delivery timelines by 75%, and scaling to process 10,000x more data.

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  • Streamlining AWS Operations for Cartstack

    Streamlining AWS Operations for Cartstack

    Cartstack engaged with AspirationalX to optimize and scale its AWS infrastructure, reducing costs, improving security, streamlining deployments, and supporting international expansion through cloud modernization and DevOps automation.

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  • Six-Month Turnaround of Stalled Technical Projects

    Six-Month Turnaround of Stalled Technical Projects

    AspirationalX helped an organization recover multiple stalled technology projects by resolving technical disputes, streamlining execution, improving communication, and restoring delivery momentum, customer trust, and project success.

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  • Modernizing Cloud Cost Management for a US Department of Education Federal Student Loan Servicer

    Modernizing Cloud Cost Management for a US Department of Education Federal Student Loan Servicer

    By implementing a structured FinOps strategy, AspirationalX enabled a Department of Education-focused organization to reduce cloud costs, improve governance, strengthen operational resilience, and build long-term financial accountability.

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  • Scaling Smarter: Reducing Analytics Costs with a Query Viability Layer

    Scaling Smarter: Reducing Analytics Costs with a Query Viability Layer

    AspirationalX helped a DoD analytics provider reduce costly empty-result queries by building a scalable pre-query filtering layer with Apache Druid, Kubernetes, and Airflow, improving performance, UX, and daily compute efficiency.

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  • Big Data Exchange (BDEX) Customer Revisit Likelihood Scoring Algorithm Leveraging Location Data

    Big Data Exchange (BDEX) Customer Revisit Likelihood Scoring Algorithm Leveraging Location Data

    AspirationalX created and validated a location intelligence algorithm designed to predict customer revisit behavior, leveraging advanced analytics and iterative model development to improve forecasting accuracy and business insight.

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  • Mobile App and Game Studio Founding and Product Management

    Mobile App and Game Studio Founding and Product Management

    AspirationalX led product strategy and feature development across 20+ game properties, using data-driven decision-making, rapid iteration, and cross-functional teams to improve engagement, retention, and revenue.

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  • Principal Component Analysis of Mobile Ad Engagement at Scale

    Principal Component Analysis of Mobile Ad Engagement at Scale

    AspirationalX developed a scalable analytics framework that processed terabytes of advertising data to uncover the strongest predictors of click-through performance, improving campaign optimization and marketing efficiency.

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AspirationalX

Based in St. Louis, Missouri.

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