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Case Studies

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From data to decisions: A faster analytics journey

From data to decisions: A faster analytics journey

From data to decisions: A faster analytics journey

How AI-driven analytics transformed decision-making for key executives

How AI-driven analytics transformed decision-making for key executives

Faster decisions

Intuitive search

Real-time alerts

Self-service analysis

The challenge

Empowering faster decision-making with AI-driven insights

A client required a faster, self-sufficient solution to analyze and interpret topline KPIs across zones, countries, and vessels.

Key challenges

  • Reliance on internal analytics teams delayed insights

  • Executives struggled with complex data queries

  • No instant alerts on KPI fluctuations

The solution

Accelerating insights with AI and cloud

AI-driven insights

Deployed Cuddle.ai for instant KPIs

Reduced time-to-insight

Enabled NLP search

Cloud performance

Used AWS for speed and scale

Integrated key infrastructure

Ensured automation and reliability

Implementation approach

1

Automated deployment

  • Ensured high availability

  • Enabled rapid containerized deployment

  • Scaled microservices with EKS

2

High-speed processing

  • Enabled real-time insights

  • Efficient large-scale processing

  • Fast data handling with EMR & S3

3

Smart data management

  • Stored semantic data in RDS Postgres

  • Structured for easy queries

  • Enhanced reliability

The impact

Accelerated decision making

Faster decision-making

  • Instant executive insights

  • Reduced analytics team reliance

  • Quicker strategic actions

Easy data access

  • Natural language search

  • Real-time KPI tracking

  • Smarter decisions

Proactive alerts

  • Detected KPI shifts

  • Instant notifications

  • Faster response

Looking ahead

Enhanced AI capabilities

  • Expand predictive insights for proactive decision-making

Scalability and integration

  • Extend solution across more business functions

Continuous optimization

  • Refine models with real-time feedback and evolving data