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Transforming Data into Decisions

Expert data engineering, analytics & AI consultancy. We help businesses unlock the power of their data.

Our Expertise

We deliver comprehensive data solutions tailored to your unique business needs.

Data Engineering & Platforms

Designing and building cloud-native data platforms that scale reliably and support analytics, AI, and experimentation.

Analytics & Business Intelligence

Enabling faster, better decisions with trusted metrics, self-service analytics, and executive-grade dashboards.

AI & Data Intelligence

Helping organizations operationalize AI by combining high-quality data foundations with production-ready ML solutions.

Comprehensive Data Services

From strategy to implementation, we cover the full spectrum of data services.

Client Success Stories

Discover how we've helped businesses like yours achieve remarkable results.

Trusted by Industry Leaders and Innovators

BP logo
Jumio logo
Prospecta Australia logo
Carbmee GmbH logo
Vibes logo
kojo technologies logo
BP logo
Jumio logo
Prospecta Australia logo
Carbmee GmbH logo
Vibes logo
kojo technologies logo
Kojo Technologies logo
Kojo Technologies

Problem: Needed a scalable analytics platform to handle rapidly growing user data from their construction management software.

Solution: We designed and implemented a data lakehouse architecture on Databricks, enabling advanced analytics and ML capabilities.

Impact: Improved query performance by 10x and unlocked new product insights, driving a 20% increase in user engagement.

BP logo
BP

Problem: Needed to modernize their data infrastructure to support next-generation AI and machine learning initiatives.

Solution: We built a scalable, AI-ready data platform on Azure, leveraging Databricks for unified analytics and Azure ML for model deployment.

Impact: Accelerated AI project deployment by 40% and established a future-proof foundation for advanced analytics.

Jumio logo
Jumio

Problem: Faced challenges with processing large volumes of data for fraud detection, requiring a more scalable and efficient solution.

Solution: We engineered a data lakehouse using Apache Iceberg on AWS, enabling efficient data versioning and schema evolution for advanced fraud analytics.

Impact: Improved fraud detection accuracy by 25% and reduced data processing costs by 40%.

Why Partner with Red Analytica?

We combine deep technical expertise with a commitment to delivering tangible business outcomes. Our client-centric approach ensures solutions that are not just innovative, but also practical and impactful.

  • 9+ Years of Hands-On Data & Cloud Engineering Experience
  • Certified Cloud & Data Architects (AWS, GCP, Azure)
  • End-to-End Ownership from Strategy to Production
  • Rapid Pilot & Proof-of-Value Delivery in 3–4 Weeks
  • Flexible Engagement & Support Models Across Time Zones

Our Technology Stack

AWSAWS
AzureAzure
GCPGCP

Our team has deep expertise across the modern data stack, ensuring best-in-class solutions for your business.

What Our Clients Say

Hear directly from businesses we've helped succeed.

Nick Kim

Nick Kim

CTO, Kojo Technologies

"Red Analytica transformed our data chaos into a strategic asset. Their expertise in cloud data warehousing is unparalleled."
John Smith

John Smith

Head of Analytics, BP

"The AI models developed by Red Analytica have given us a significant competitive edge. Truly results-oriented!"
Alice Brown

Alice Brown

Director of Operations, Jumio

"Their team is not only technically proficient but also excellent communicators. The PoC was delivered incredibly fast."

Latest Insights

Stay informed with our expert analysis and perspectives on the world of data.

The Future of Data: Trends in Cloud Data Platforms for 2024

Explore the evolving landscape of cloud data platforms and how businesses can leverage new trends for competitive advantage.

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Unlocking Business Value with AI: A Practical Guide

A step-by-step guide for organizations looking to integrate AI and Machine Learning into their operations effectively.

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Mastering Real-Time Data Streaming with Kafka and Spark

Dive deep into the architectures and best practices for building robust real-time data streaming solutions.

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