Overview

A leading luxury watch manufacturer partnered with Altimetrik to modernize its data ecosystem and accelerate its journey toward data-driven decision-making. Fragmented data pipelines and a non-optimized platform limited the client’s ability to experiment, scale analytics, and activate predictive insights across business domains.

Altimetrik re-engineered the data environment, strengthened BI and AI foundations, and delivered a scalable platform enabling business stakeholders to make faster and more accurate decisions.

Business Impact

• 80–90% Reduction in Manual Operational Effort.
• 70% Faster Incident Resolution.
• 60% Reduction in Platform Governance Overhead.
• 20–30% Reduction in Cluster Overhead & Pipeline Waiting Time.

The Challenge

The client’s data infrastructure was fragmented and inefficient, creating both technical and operational bottlenecks:

• Unreliable and delayed data pipelines, resulting in slow, inconsistent availability for downstream BI and analytics teams.
• Limited capacity to run and scale predictive and AI models, leading to high experimentation costs and reduced agility in innovation.
• Lack of real-time, high-quality data, restricting the organization’s ability to support advanced analytics and future-ready digital initiatives.

Our Approach

Altimetrik deployed a structured, three-phased engagement that enabled a seamless transition while laying the foundation for long-term scalability.

1. Safe Landing & Stabilization
   
   • Transitioned data operations smoothly from the incumbent provider without service disruption.
   • Identified platform gaps, performance issues, and immediate optimization opportunities.
2. Creation of a Global Data Factory
   • Established a centralized Data Analytics Service Center.
   • Delivered self-service BI capabilities for business users.
   • Enabled consistent, governed reporting across global teams.
3. Modern DataOps & AI Enablement
   • Built a modern lake house-style data platform with advanced Data Ops practices
   • Accelerated AI use case deployment with automated pipelines and rapid experimentation environments.
   • Successfully migrated and integrated legacy data systems into a unified architecture.

This structured approach ensured speed, reliability, and future-ready design.

Value Delivered

AI-Ready, High-Performance Data Platform

A scalable data foundation now supports predictive analytics, real-time insights, and future AI workloads.

Accelerated Revenue Impact

With faster and more accurate insights, leadership teams made strategic decisions quicker, driving measurable revenue growth.

Improved Performance & Reduced TCO

Refactoring and platform optimization eliminated redundancies, improved Databricks performance, and reduced infrastructure and operational costs.

Future-Ready Analytics Ecosystem

The new lake house approach ensures flexibility for emerging use cases, from advanced forecasting to personalized customer analytics.

Conclusion

Altimetrik enabled the luxury watch manufacturer to shift from siloed data operations to a unified, future-ready platform by bringing structure, speed, and engineering rigor to every phase of the transformation. Through strategic migration, focused

optimization, and the adoption of modern DataOps practices, we equipped the client to harness real-time insights and advanced analytics with greater agility. This strengthened foundation now empowers the brand to innovate confidently, scale with precision, and lead in an increasingly data-driven landscape.