Data & AI
Building a Modern Enterprise Data Platform
Unified fragmented data sources into a scalable analytics platform that enabled real-time reporting, AI-driven insights, and faster business decisions.
- Apex Retail Group
Industry
Retail & E-commerce
Duration
5 Months
Team size
7 Engineers
Completion date
Technologies used
Snowflake
Power BI
dbt
Overview
Apex Retail Group partnered with Originl Systems to modernize its enterprise data platform as the business expanded across multiple regions and digital channels. Existing reporting systems relied on disconnected databases, manual spreadsheets, and inconsistent data pipelines, making it difficult to generate reliable insights and support data-driven decision-making. Our objective was to build a unified cloud-native data platform that centralized enterprise data, automated processing, and established a scalable foundation for advanced analytics and AI initiatives.
Challenge
Business-critical data was spread across multiple operational systems with inconsistent formats, duplicated records, and manual reporting workflows. Analytics teams spent significant time preparing data instead of generating insights, while leadership lacked real-time visibility into sales, operations, and customer performance. The organization needed a scalable platform capable of supporting enterprise reporting, predictive analytics, and future AI workloads without increasing operational complexity.
Solution
We designed and implemented a cloud-native data platform that automated data ingestion, transformation, and governance across multiple business systems. Centralized data pipelines, cloud warehousing, and standardized data models established a single source of truth while enabling real-time dashboards and AI-ready infrastructure. The platform introduced automated monitoring, data quality validation, and governance controls to ensure trusted insights while providing a scalable architecture for future machine learning initiatives.
Results
The new platform significantly improved reporting speed, data consistency, and business visibility across the organization. Manual reporting processes were replaced with automated pipelines, executive dashboards delivered near real-time insights, and business teams gained faster access to trusted information. The organization established a scalable enterprise data foundation capable of supporting predictive analytics, AI initiatives, and future digital transformation programs.
Delivery phases
Assess Data Landscape
Build Unified Data Platform
Automate Analytics Pipelines
Enable AI & Continuous Optimization
Measurable results
70% Faster Reporting
95% Data Accuracy
10× Faster Query Performance
1 Unified Enterprise Data Platform
Key deliverables
Enterprise Data Platform
Automated Data Pipelines
Cloud Data Warehouse
Data Governance Framework
Client testimonial
"Originl transformed the way we work with data. We moved from fragmented reporting to a unified platform that gives every team access to trusted insights and prepares us for future AI initiatives." — Director of Data & Analytics Apex Retail Group