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Concepts and use of data

Our EWA Analytics platform provides two distinct data access layers designed to serve different customer needs and use cases. Choose the layer that best matches your organization's technical capabilities and analytical requirements.

All data access and integrations should happen using the Analytics API.

Foundational data sets (Clean)​

Who is this for? Organizations with data engineering teams who need granular control over their analytics and want to build custom models, integrations, or specialized analyses.

What you get: High-quality, standardized data that has been cleaned and validated but remains flexible for your custom transformations. Think of this as premium raw material for your data science and engineering teams.

Key Benefits:

  • Maximum flexibility - Transform and model the data exactly how you need it
  • Comprehensive coverage - Access to all available data points from emergency medical services
  • Clean foundation - No need to spend time on basic data quality issues like duplicates or formatting inconsistencies
  • Custom analytics - Perfect for building machine learning models, predictive analytics, or specialized reporting

Best suited for:

  • Customers with dedicated data engineering resources
  • Customers building custom models
  • Research institutions conducting medical emergency studies

Technical requirements:

  • Data engineering expertise for transformations and modeling
  • Analytics infrastructure to process and store the data
  • Understanding of healthcare data structures and relationships

BI ready data sets (Core)​

Who is this for? Organizations that want immediate access to actionable insights without the complexity of data engineering. Perfect for direct business analysis tools. What you get: Pre-built, optimized data tables designed specifically for reporting and analysis. These tables are structured as dimensional models with fact and dimension tables that work seamlessly with BI tools.

Key Benefits:

  • Immediate insights - Start analyzing and reporting right away
  • Optimized performance - Pre-aggregated data ensures fast query responses
  • BI tool compatibility - Works with Power BI, Tableau, Qlik, and similar platforms (API integration)

Best suited for:

  • Customers without dedicated data engineering resources
  • Customers that want easy access to BI ready data

Technical requirements:

  • Basic familiarity with business intelligence tools
  • Understanding of healthcare data
  • No specialized data engineering skills needed

Architecture​

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