Driving Business Intelligence with Scalable Data Architecture

CLIENT

NDA

INDUSTRY

Experience Provider

SERVICE

Cloud Data Migration, Data Architecture Design, ETL Pipeline Development

Overview

A premier experience provider sought to modernize its data infrastructure to improve operational efficiency and executive decision-making. With increasing data volumes and fragmented reporting systems, the company struggled with slow insights, manual data workflows, and a lack of real-time analytics. They partnered with Sphere to implement a modern data architecture that automated reporting, streamlined workflows, and empowered leadership with actionable intelligence.

Challenges

Inefficient Reporting Workflows

Manual data processing delayed insights and made decision-making reactive instead of proactive.

Siloed Data Sources

Data was spread across multiple systems, making it difficult to get a unified view of business performance.

Scalability Issues

The existing infrastructure couldn’t handle the company’s rapid growth and increasing data complexity.

Our Solution

Sphere deployed a team of six experts, including a Data Architect, BI Developer, Cloud Engineer, and Project Manager, to design a modern, cloud-based data ecosystem using Azure and Databricks.

First, we migrated data operations to a cloud-based environment using Azure and Databricks, ensuring a high-performance, scalable infrastructure. This allowed the company to process large volumes of data efficiently without the constraints of legacy systems.

Next, we automated data workflows by designing custom ETL (Extract, Transform, Load) pipelines that seamlessly integrated information from sources like Quickbase and Excel. This eliminated manual data entry, significantly reducing processing time and errors.

To give executives instant access to insights, we built real-time self-service dashboards in Power BI, making KPI tracking intuitive and actionable. Instead of waiting for reports, leadership could now access up-to-date metrics at any time.

Finally, we ensured future scalability by implementing a modular architecture, allowing new data sources and reporting capabilities to be added effortlessly as the company grows.