Enabled Data Migration from Legacy to Cloud for a Wholesaler of Building Products

About the client

A wholesale distributor of building products

Challenges

• Consolidating data from diverse sources due to varying formats, schemas.
• Optimizing costs while balancing performance demands.
• Enable self-service analytics for users to analyze data with minimal IT or engineering dependence.
• Gaining a deep understanding of data to identify and implement data monetization opportunities.
• Enabling seamless collaboration among data engineers, scientists, and analysts.

Approach

• Implemented data compression techniques to minimize storage costs.
• Utilized serverless computing for cost-effective processing.
• Leveraged auto-scaling capabilities to match compute resources with workload demands.
• Optimized data transfer costs by reducing unnecessary data movements.
• Implemented data lifecycle management policies to tier storage based on usage patterns.
• Implementing cost monitoring and alerting systems to identify and address cost inefficiencies in real-time.

Solution

Innover leveraged its data and analytics prowess to craft a holistic solution, seamlessly merging internal systems with external data, fostering team collaboration, empowering self-service analytics, and unlocking data monetization opportunities.

• Data Modelling: Unified data model encompassing various entities like products, pricing, inventory, and orders to streamline data ingestion into the cloud. Leveraged Talend for seamless data ingestion.
• Data Foundation: Comprehensive data lake and warehouse infrastructure using Azure services, including an aggregate layer to facilitate reporting and analytics consumption.
• Data Cataloging: Unity Catalog to meticulously track all data elements across the organization, ensuring efficient data management and governance.
• Data Processing: Databricks platform to drive advanced analytics use cases, complemented by PowerBI for comprehensive reporting capabilities.