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Strategic Intelligence Report

Data Platform
Transformation

- Automotive & Rubber Industry

Global leader in automotive and rubber industry with diverse product range including tires and industrial rubber goods. Operating across multiple business entities managing production, inventory, sales, IT administration, and quality management functions.

Project Highlights

Designing purpose-specific data products

Developing robust data models and pipelines for business entities

Implementing data orchestration with CI/CD automation

Challenges

  • Weak data foundation limits decision-making
  • Limited integration across diverse data sources
  • Absence of purpose-specific data products
  • Manual processes create bottlenecks

Solution Highlights

  • Purpose-built data products for business needs
  • Automated data processes with CI/CD
  • Data security, integrity, and compliance
  • Quality validation ensuring data accuracy

Solution Components

Data Ingestion

  • Multi-source connectivity
  • Secure credential management
  • Azure Data Factory Pipeline

Data Processing

  • Databricks with Unity Catalog
  • Delta Lake architecture
  • ML/AI with MLOps

Visualization

  • Power BI dashboards
  • Curated data products
  • Self-service analytics

Expected Outcomes

40–50% Faster Data Processing

60–70% Less Manual Effort

30–40% Better Data Quality

Improved Business Decisions

Governance & Continuous Improvement

Governance

Quality

Comprehensive governance framework ensuring data security, integrity, and compliance. Automated CI/CD pipelines enable continuous deployment and quality assurance. Data quality monitoring maintains high standards supporting scalability across all business functions