Sutherland Helps Stride K12 Achieve 4x Faster Time to Market with Efficient Data Operations

Discover how Stride K12, a leading education services provider, leveraged intelligent automation to streamline data operations, reduce manual effort, and achieve a 4x faster time to market.

Industry: Technology | Services: Cloud, Data and Analytics

Client Overview

Stride K12 is a prominent for-profit education management organization with over two decades of experience supporting 2 million students through online and hands-on curricula. The company aimed to modernize its data infrastructure to enhance decision-making and operational efficiency.

The Challenge

Legacy Systems Hindering Data-Driven Decisions

Stride K12’s finance team relied heavily on manual, Excel-based systems for critical reporting and analysis – a time-consuming, error-prone process, and devoid of the agility needed in a fast-moving educational environment. These siloed tools not only restricted visibility into key financial metrics but also slowed down decision-making across the organization.

As data volumes grew and business complexity increased, it became clear that the existing infrastructure could no longer support the institution’s evolving needs. Stride K12 required a seamless migration from its legacy environment to a modern, scalable data warehouse – one that would centralize information, improve data accuracy, and enable timely, insight-driven decisions. The goal was to modernize financial reporting while enhancing efficiency, governance, and the overall user experience across teams.

Sutherland Solution

Driving Seamless Data Modernization Through Intelligent Automation

To address the limitations of legacy reporting systems and enable real-time, data-driven decision-making, Sutherland partnered with Stride K12 to design and implement a comprehensive data warehouse modernization strategy, grounded in intelligent automation and cloud-native architecture.

  1. Agile, Incremental Delivery
    Sutherland adopted an agile delivery methodology to incrementally build and refine the data warehouse platform, allowing for rapid iteration, stakeholder feedback, and continuous optimization throughout the migration journey.
  2. Modern, Scalable Technology Stack
    Leveraging a robust combination of Snowflake, Data Build Tool (DBT), Data Vault, and AWS, the new infrastructure provided a scalable, high-performance foundation for secure and efficient data management.
  3. User-Centric Experience Design
    Customizable dashboards were developed to support multi-user access across school operations, administrators, and educators, promoting transparency, collaboration, and informed decision-making at every level.
  4. Enterprise-Grade Security and Access Control
    Strong user authentication protocols were implemented to ensure secure data access and maintain governance across all user roles and organizational tiers.
  5. Empowered Reporting and Analytics
    By enabling self-service reporting capabilities, users were able to generate insights independently, reducing reliance on technical teams and accelerating response times across the organization.

The Outcome

Faster Execution, Smarter Governance, and Scalable Insights

Sutherland’s intelligent automation and data modernization strategy delivered transformative results for Stride K12. The organization achieved a 4x acceleration in resource fulfillment and time-to-market, significantly improving operational agility.

With a focus on control and compliance, the initiative also enabled 99% optimal data governance, ensuring secure, reliable access to accurate information across the enterprise. Stride K12 successfully scaled its data operations to support users across 10+ geographically dispersed locations, maintaining consistency and performance throughout.

That’s digital outcomes delivered!

The intuitive, self-service platform further empowered stakeholders, from school administrators to teachers, to generate real-time reports on demand. This shift enhanced user autonomy, reduced dependency on IT teams, and fostered a culture of data-driven decision-making across the organization.

KEY OUTCOMES

4x

Faster resource fulfillment and accelerated time to market

99%

Optimal data governance achieved

10+

Geographical locations managed within a global delivery model

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