Accelerating Analytics with Medallion Architecture Implementation

A leading US-based online learning platform with millions of users struggled with fragmented data infrastructure spread across siloed systems including PostgreSQL, BigQuery, and Oracle databases. The legacy BI system faced performance bottlenecks that delayed decision-making and prevented business user autonomy.
OptiSol provided a dedicated team of data engineers and analytics specialists working in a T&M model, ensuring rapid skill deployment and flexible resource scaling throughout the transformation journey. This talent augmentation approach allowed the client to maintain velocity while building internal capabilities for long-term platform ownership.
To address these challenges, the organization partnered with OptiSol to modernize its data analytics platform. OptiSol designed and implemented a Medallion architecture with Oracle Analytics Cloud, consolidating the complex data ecosystem and automating deployment pipelines. This transformation delivered a scalable, self-service data platform that accelerated data-driven decision-making, reduced deployment risks, and empowered business teams to derive actionable insights from vast content and user engagement data.

Key Outcomes

3
Layers Medallion Architecture
40%
Decrease in Ad-Hoc Reporting Workload
<30
Minutes Deployment Time
15%
Improvement in User Engagement

Challenges and Solutions

Data Fragmentation Across Siloed Systems

Critical data was spread across siloed systems including PostgreSQL, BigQuery, and Oracle databases, making it impossible to get a unified view of business operations.

Solution

OptiSol architected a centralized Medallion architecture with Bronze, Silver, and Gold layers progressively refining data. This created a single, unified source of truth for analytics across the enterprise.

Legacy System Performance Bottlenecks

The legacy OBI system faced significant performance issues, leading to slow report generation and inability to handle increasing data complexity, delaying critical business decisions.

Solution

OptiSol migrated to Oracle Analytics Cloud consuming optimized data from the Gold layer, reducing report load times by 70% and providing business leaders with timely insights.

Business User Reporting Dependency

Business users were heavily dependent on the data team for custom reports, creating bottlenecks that delayed decisions and prevented autonomy in analytics.

Solution

OptiSol developed interactive dashboards and enabled self-service analytics through OAC training, allowing business teams to create their own analyses from trusted Gold layer data while reducing ad-hoc workload by 40%.

Manual and Error-Prone Deployments

Deployment of updates to the data platform and BI tools was manual, time-consuming, and prone to errors, posing risks to business continuity.

Solution

OptiSol established a robust CI/CD pipeline using Jenkins and Git that automated testing and deployment, reducing deployment time from hours to under 30 minutes while decreasing errors by 95%.

Limited In-House Expertise for Modern Cloud Analytics

The organization lacked specialized expertise in Oracle Analytics Cloud, Medallion architecture patterns, and modern data engineering practices needed for successful platform modernization.

Solution

OptiSol deployed experienced data engineers and OAC specialists through a flexible T&M engagement model, providing hands-on implementation support while upskilling internal teams through knowledge transfer sessions and collaborative development practices.

Our approach

Designed Medallion Data Architecture

Architected a multi-layered framework with Bronze layer for raw ingestion, Silver layer for cleansed and enriched consolidation, and Gold layer for business-ready aggregates optimized for analytics performance.

Implemented Oracle Analytics Cloud Migration

Migrated from legacy OBI to OAC, re-architecting data models to align with Gold layer tables. Developed interactive dashboards focused on key business KPIs for content strategy and user engagement.

Established Automated CI/CD Pipeline

Built continuous integration and deployment pipeline using Jenkins and Git to automate testing and deployment of data releases, ensuring rapid, reliable rollouts with minimal downtime.

Enabled Self-Service Analytics Adoption

Empowered business teams with self-service capabilities and leveraged analytics to track internal data consumption patterns, fostering a data-literate culture across marketing, content, and sales teams.

Deployed Specialized Talent Team

Provided dedicated data engineers, analytics developers, and cloud architects working collaboratively with internal teams, ensuring knowledge transfer and building sustainable platform management capabilities.