Data Transformation through Advanced Analytics for a Leading Packaging Solutions Manufacturer

Client

The client is an industry leader in materials science and manufacturing. They specialize in the manufacturing and designing of diverse functional and labelling materials. Their constant focus is on delivering sustainable, innovative, and intelligent solutions to global customers.

Business Challenges

• The client wanted to build self-serve analytics capabilities and consolidate master data across customer, supplier, and product. 
• Delay in data availability led to setbacks in decision making, and raw material shortages. 
• The cumbersome manual process to understand demand to supply flow caused delays in order fulfilment for key customers. 
• To embark on a data transformation journey that is scalable and resilient data architecture.

LTM Solution

• Build a robust MDM platform leveraging Oracle Customer Data Management, Supplier Data Management and Product Data Management domains consolidating data from 30+ legacy ERP systems for providing a 360º view. 
• Developed Enterprise Data Warehouse (EDW) solution for client leveraging Oracle’s Autonomous Data Warehouse (ADW) capabilities, Golden Gate, Data Integrator (ODI) on Marketplace and Analytics Cloud for providing advanced analytics capabilities. 
• Developed 100+ dashboards providing detailed KPI’s across supply chain. 
• Leveraged Snowflake data sharing capabilities to provide real-time visibility into order fulfilment for key customers, eliminating manual spreadsheets-based processes. 
• Implemented automated data transformation using Informatica Data Quality (IDQ) to reduce data cleansing and migration efforts by up to 60% and increase data accuracy. 

Business Benefits

• 80% reduction in turnaround with automated dataflow 
• 10X increase in frequency and speed of insights from data with the improvised data model 
• 50% improvement in operational efficiency due to automated data ingestion and dissemination.
• 30% reduction in the overall project timelines