Modern Data and Analytics Platform Implementation

Company Name

ESO

Location

USA

Industry

Healthcare Software Development

Services

Data and Analytics

Client

ESO is the largest software and healthcare data solutions provider to emergency medical services (EMS) agencies and fire departments in the US, serving over 10,000 SaaS customers and more than 500,000 users.

Business Challenge: Empowering Customers with Data-Driven Insights That Save Lives

Driven by their mission to improve community health and public safety through the power of data, ESO pioneers and delivers the most reliable, innovative, and easy-to-use software and data-driven healthcare solutions on the market.

One of ESO's key technology initiatives was the implementation of their new data analytics platform, which needed to be highly flexible and scalable, supporting 24/7 availability and spend optimization.

A key challenge of the implementation was ensuring the proper ingestion of large volumes of data from a multitude of diverse systems, each comprised of numerous internal and external sources. A conventional ETL approach would not meet the requirement for real-time data flow.

Solution: Data Mesh and Real-Time Analytics Using Cloud Resources

ESO implemented a data mesh architecture using Azure, Snowflake, and Business Intelligence and data visualization tools. This approach enables domain teams to ingest the operational data, build data models as data products, and combine information from every ESO domain to provide customers with a 360-degree view of performance through one single dashboard. This solution is a testament to ESO's commitment to delivering cutting-edge healthcare data solutions that drive real-time insights.

Additionally, a dedicated data platform team provides domain-agnostic functionality, tools, and systems to build, execute, and maintain interoperable data products for all domains. These efforts align with ESO's strategy of leveraging data-driven healthcare solutions to transform operational efficiency and decision-making.

Each domain data source has its own corresponding data pipeline, built mainly on Azure by leveraging tools like Azure Functions, Blob Storage, Service Bus, and Event Grid, among others. These pipelines have their own independent data lake, and they ingest a common Snowflake data warehouse with its unique database schema. The pipelines are responsible for transformations, aggregations and ingestion. Extraction is also part of the pipeline, generally based on event notification or change detection in near-real time (pub/sub model).

Common libraries ensure standardized pipeline implementations, while a dedicated data platform team manages information flow, access mechanisms, and cross-product data infrastructure, enabling subsequent analysis by data consumers.

Business Benefits

The implementation of the modern data integration platform, comprised of independent Azure data pipelines and a scalable Snowflake cloud data warehouse, makes it possible to efficiently handle large volumes of data from diverse sources in near-real-time, resulting in several key benefits:

Accelerated insights, decision-making, and response to changes through domain-oriented decentralization, powered by data-driven healthcare solutions
Enhanced security, performance, and scalability through cloud data lakes and data warehouse
Immediate availability of streaming data for analytics purposes
Adaptable and scalable serverless architecture with continuous monitoring

Additionally, leveraging the Snowflake Data Cloud for its data infrastructure has enabled ESO to unlock new capabilities and business benefits:

Support for high concurrency
Data governance federation
Minimized total cost of ownership
Reduced infrastructure and operational costs
Increased query usage for exploratory reporting
Increased data footprint
Enabled 360-degree view of performance through industry-leading healthcare data solutions

DataArt has been a pleasure to work with. They quickly understood our business needs and embedded talented technologists into our engineering teams to help build our modern data platform. Their thoroughness, collaborative working style, and flexibility were greatly appreciated throughout the duration of this engagement and we look forward to opportunities for continued partnership.

Brandon Martinez

Chief Technology Officer, ESO

Technology

.NET

Azure Event Grid

Azure Blob Storage

Azure Service Bus

Azure Functions

Snowflake

none contentType in EssenceCard

Please provide your contact details, and we will get back to you promptly.

First name*

Last name*

Email*

Job title

Company*

Phone

What would you like to discuss?*

How did you learn about DataArt?

What is your role?

I agree to receive DataArt's monthly marketing newsletter.

I have read and agree to the Privacy Policy*