Transforming legacy data operations into real-time business intelligence platform
The project was commissioned by a globally recognized direct-selling beauty corporation, operating across 60 countries with millions of representatives worldwide. Their legacy data warehouse struggled to consolidate regional business data and adapt to changing market demands. Hiflylabs’ experts implemented a modern Data Vault architecture on the cloud, enabling real-time analytics and flexible business rule management across their global operations.
cost savings migrating into the cloud from on-prem setup
less menial tasks through automation, allowing more focus on strategy
to implement new business needs or integrate source systems, down from 3 months
The client faced the enterprise-scale challenge of consolidating diverse business data streams from over 60 countries worldwide. Their existing data warehouse, built with a rigid and traditional architecture, failed to adapt to evolving business definitions and couldn't support real-time analytics needs, nor could it preserve raw data historically. The system's limitations obstructed long-term traceability of records, and meant that any changes to business rules, data structures or sources required months of development time. This severely impacted their ability to respond to changing market dynamics, historical analytics, and day-to-day workflows. With daily operations processing millions of orders and tracking countless inventory changes, they required a solution that could handle information real-time, keep raw data intact, and enable agile adaptation to changing business needs.
Hiflylabs designed and implemented a Data Vault on a modern cloud infrastructure, overhauling all data operations. We replaced traditional ETL processes with a flexible lakehouse architecture, which solved both raw data preservation and adaptable business rules. The solution features real-time data processing capabilities, supporting instant inventory updates and smart customer notifications. At its core, we developed a virtualized gold layer that empowers business stakeholders to create and modify analytics views without technical intervention. Since Data Vaults enable agile iterations, the new system can accommodate any business requirement flexibly, without the need of redesigning data pipelines from the grounds up. Through automated data quality checks and processing workflows, we significantly reduced manual operational overhead. The scalable data structure we created easily supports new source systems and ad hoc business ideation. The new data platform transformed the client’s ability to handle complex multi-country operations while significantly reducing infrastructure costs.
Services
Data Platform Migration
Remodeling
Data Vault
Data Process Automation
Orchestration
Architecture Redesign
Industries
Retail
Technologies
Databricks
AWS
Wherescape
Tableau
Python
SQL
Glue
Lambda
Athena
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