case study

Slate Data Transforms its Business Model with Prefect Cloud

Slate Data provides data engineering services to reinvigorate data-driven business decisions by modernizing data tech stacks and empowering industry-specific data scientists.

$2 million

“Making [the data aggregation + analysis process] 1% better was worth $2 million.”


“What used to take a full team 2 weeks now takes one person 12 minutes.”


Slate Data + Design


Chicago, IL


Information Technology + Services

Products Used


Provide business guidance as an Analytics Consultancy to enterprise clients with antiquated data systems, in a variety of industries, with unique market challenges.


Slate Data adjusts its business model to provide modern data infrastructure and scalable data practices to clients powered by Prefect Cloud.


A wide expansion of markets to provide data architecture services and the empowerment of data scientists across those industries to apply market knowledge, deliver specialized reports, and truly drive business analytics.

Executive Summary

  • Slate Data provides data engineering services to drive data-driven business decisions by modernizing data tech stacks and empowering industry-specific data scientists.

  • As Slate Data grew to accommodate more clients, the team was confronted with an eerily similar obstacle despite the wide range of patron industries - accommodating antiquated tech stacks with inadequate internal data infrastructure.

  • This became an increasingly familiar sight for the Slate Data team, spanning industry-specific data science and business analytics teams: deeply-rooted data systems that accumulate high technical debt, unsuitable for the modern data age.

Prefect Cloud's Hybrid Model

  • Prefect’s accessibility, ease of management, and speed of implementation allowed Slate Data’s engineering team to implement repeatable, scalable data practices to a wide range of clients.

  • Slate Data’s clients could be provided their own Prefect Cloud tenant and fully realize their own data teams’ potential, while preserving all data and code completely inside their own secure infrastructure.

  • The Slate Data team began by centralizing one of their most recent client's dataflow from existing servers to a cloud warehouse, automated with Prefect flows by using AWS Lambda to trigger flow runs upon AWS S3 upload events.

  • Built-in integrations with Slack allowed seamless monitoring connectivity within the team's operations and Prefect Secrets provided a simple solution for storing sensitive information.

  • The Slate Data team also introduced a Kubernetes cluster to manage horizontal scaling and high availability across separate business units, requiring minimal management by the client.

  • Prefect's Hybrid Execution Model also proved invaluable during the implementation process, assuring the security of sensitive data, the command of computational resources, and seamless compliance process.

  • Additionally, the client’s eagerness to overhaul their data network with Prefect Cloud greatly reduced the gap between aging enterprise solutions and the current data tooling landscape, gaining a critical edge in competitive markets.


The Slate Data team stays lean, but can scale at a rapid pace with additional Data Engineers and standard practices to provide consultation to other industries.

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