Legacy System Migration for Hudson Holdings Group

 

Hudson Holdings Group, a retail and distribution business operating 97 stores across Africa and Southern Europe with €181.8 million in annual revenue, partnered with Eunoia to migrate its outdated data platform to a modern Databricks architecture. The legacy system migration was completed within six months, following a structured seven-step process: assessment and planning, infrastructure setup, data model redesign, data pipeline development, data migration from the D365 ERP and footfall data sources, testing and validation, and deployment with ongoing support. Key results included improved data quality, enhanced scalability, significant reduction in operational overhead, advanced reporting capabilities, and a self-service analytics environment that reduced IT dependency across business teams. Reinhardt Barkley, PowerBI Manager at Hudson Holdings Group, described Eunoia’s code quality, report quality, and documentation quality as outstanding compared to other suppliers.

Hudson Holdings Group, a leader in the retail and distribution sectors, undertook a legacy system migration to transition from an outdated data platform to a more robust and scalable infrastructure.

The business objectives driving this legacy system migration were to improve data quality, scalability, and empower users with self-service analytics capabilities, aligning the platform with the company’s growth ambitions. By centralising data from their D365 ERP system and footfall data, the project streamlined data management processes, delivering enhanced operational efficiency.

Over the course of a six-month timeline, the successful legacy system migration solution was implemented, positioning Hudson for future scalability and increased efficiency. The migration positioned Hudson for future growth with a modern data infrastructure.

Key Results from the Legacy System Migration

The legacy system migration delivered measurable benefits across several areas:

Improved Data Quality

Hudson’s new platform ensured more accurate, complete, and timely data, supporting better decision-making.

Scalability for Future Growth

The new platform is designed to scale alongside the business, accommodating new data initiatives with ease.

Operational Efficiency

Decommissioning the legacy system and implementing new pipelines significantly reduced operational overhead and improved efficiency.

Advanced Reporting and Analytics

The migration enabled more streamlined and timely reporting, providing actionable insights for various business units.

User Empowerment

By introducing a self-service analytics environment, Hudson reduced dependency on IT, allowing users to access data independently and make informed decisions.

Client's background

Company Name: Hudson Holdings Group
Industry: Retail, Distribution, and Service Provider in Sports and Fashion
Company Size: Over 1,000 employees
Annual Revenue: €181.8 million

 

Business Overview:
Hudson Holdings Group operates 97 retail stores across Africa and Southern Europe, representing renowned brands such as Armani Exchange, Calvin Klein, Nike, and Tommy Hilfiger.

The group also manages its own retail concepts, Urban Jungle, Urban Bratz, and Black Box, and has a robust distribution network in over 30 African territories.

Headquartered in Malta, with additional offices in Italy, Morocco, Algeria, Nigeria, and Cyprus, Hudson’s operations are fueled by its commitment to quality and excellence across the fashion industry.

Challenges with the Legacy System

The primary challenge Hudson faced was the limitations of their legacy system. The old data platform led to issues in data quality, pipeline reliability, and slow data loading processes, which hindered timely and accurate reporting.

Additionally, the legacy platform strained Hudson’s BI infrastructure, leading to performance bottlenecks and increased operational costs.

Key challenges included:

Data Quality Issues
Inaccurate, incomplete, and inconsistent data that affected business decisions.

Performance Bottlenecks
Strained BI infrastructure caused inefficiencies in reporting and analytics.

Scalability Limitations
The existing system could not scale to meet Hudson’s growing data requirements.

User Enablement
Limited ability for users to effectively use data, increasing IT dependency.

The Legacy System Migration Solution

Hudson partnered with Eunoia to implement a comprehensive legacy system migration solution, transitioning from their outdated platform to a modern data architecture built on Databricks. The key steps in the solution included:

1. Assessment and Planning:

Identifying the limitations of the legacy system and creating a migration roadmap.

2. Infrastructure Setup:

Establishing a robust infrastructure that supported the integration of multiple data sources.

3. Data Model Redesign:

Aligning the new data model to meet evolving business needs and improve data usability.

4. Data Pipeline Development:

Implementing more reliable and scalable data pipelines with logging and error handling mechanisms.

5. Data Migration:

Migrating critical data from the D365 ERP system and footfall data onto the new platform.

6. Testing and Validation:

Comprehensive testing to ensure data accuracy, correctness, and completeness.

7. Deployment and Ongoing Support:

Successfully transitioning to the new platform with continuous support and optimisations.

By centralising the D365 ERP and footfall data, Hudson created a unified platform that allowed for more efficient data management, improved analytics, and enabled self-service reporting. This exemplifies the best practices of  BI in the retail sector, allowing for more efficient data management and improved analytics.

Advanced Analytics and Self-Service Capabilities

One of the primary objectives of the legacy system migration was to create a data environment that empowers users. Hudson’s new platform now supports self-service analytics, enabling teams to generate their own reports and access data insights without relying heavily on IT. This has led to more informed, data-driven decisions, increased productivity, and overall improved business agility.

 

Eunoia helped us rebuild our entire data infrastructure for BI from the ground up. Their code quality, report quality, and documentation quality are outstanding, especially when compared to other suppliers & consultants.
Reinhardt Barkley, PowerBI Manager
Hudson Holdings Group

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