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Case Studies

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Unifying global data at scale: Transforming operations with advanced data operations

Unifying global data at scale: Transforming operations with advanced data operations

Unifying global data at scale: Transforming operations with advanced data operations

How Tata Consumer Products transformed enterprise data into actionable intelligence

How Tata Consumer Products transformed enterprise data into actionable intelligence

The challenge

Overcoming data fragmentation and unlocking actionable insights

As a prominent Indian consumer goods company, Tata Consumer Products Ltd (TCPL) faced the critical challenge of managing and integrating diverse data sources from their ERP systems while ensuring robust data governance and security across their operations.

Key challenges

  • Resource-intensive manual data processing workflows slowed operations

  • Security and governance compliance requirements remained unmet

  • Integration barriers existed between SAP and RDS systems

  • Master data mapping presented complexities

  • Delayed data affected business decisions

The solution

Data lakehouse architecture optimized for enterprise scale

Intelligent data processing

AWS and Snowflake integration

Integration of data from various sources

Real-time data processing capabilities

Cross-system harmonization

Enterprise integration

Advanced security protocol implementation

Automated governance controls

ERP systems connectivity

Sales data integration

Implementation approach

1

Foundation

  • Infrastructure assessment

  • Snowflake platform setup

  • AWS architecture design

  • Security framework implementation

2

Development

  • Data lakehouse construction

  • Security protocol implementation

  • Automated testing and validation

  • Integration development

3

Deployment

  • Two-month rapid rollout

  • User training and documentation

  • Performance validation

  • System optimization

The impact

Data-driven transformation across the enterprise

Looking ahead

Platform scalability

  • Enhanced architecture to support data growth

Advanced analytics

  • AI-driven insights and predictive modeling

Extended integration

  • Connectivity with emerging data sources