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FCE Data was founded on years of hands-on experience designing enterprise data platforms, modernizing analytics ecosystems, and leading complex transformation initiatives. Today, we help organizations build trusted, scalable, and AI-ready data foundations that accelerate decision-making and unlock growth.
Organizations across every industry face a common challenge: their data is scattered, unreliable, and difficult to use. Teams spend time assembling data instead of analyzing it, platforms aren’t built for scale, and the promise of AI is out of reach without strong foundations.
FCE Data was created to solve these problems with clarity and engineering discipline. Our background spans years of real-world delivery inside global enterprises - building cloud platforms, unifying data architectures, shaping governance frameworks, modernizing legacy systems, and enabling advanced analytics and machine learning. Along the way, we saw the same patterns emerge across companies of every size.
So we set out to bring a better approach: experienced guidance, proven methodologies, and reusable frameworks that help organizations move faster and with more confidence.
Today, FCE Data combines strategic alignment with deep technical execution to help teams modernize their data, strengthen governance, and prepare for the next generation of analytics and AI.
At the core of our work is a simple philosophy: data should enable action, not stand in the way of it.
We believe data systems should be:
• Modern - cloud-native, open, and designed for interoperability
• Trustworthy - validated, observable, governed, lineage-aware
• Structured - modeled with clear semantics and defined standards
• Discoverable - enriched with metadata, cataloged, and understandable
• Ready for AI - organized to improve today’s and tomorrow’s ML performance
• Built for scale - engineered with patterns, automation, and best practices
Modernizing data isn’t just about technology - it’s about simplifying complexity so teams can act with confidence.
Our work reflects deep experience across strategy, engineering, analytics, and operations. This breadth allows us to design and deliver solutions that work end-to-end – from the business problem to the production pipeline.
Operating models & governance
Maturity assessments
Transformation roadmaps
Architecture planning
AI readiness assessments
Data lakes, warehouses, lakehouses
Cloud migration (Snowflake, BigQuery, Redshift, AWS, Azure, GCP)
Orchestration & automation
Infrastructure as code
Canonical & dimensional modeling
Semantic layers & governed metrics
Reference + master data
Machine-readable metadata
Open vocabularies (Schema.org, FOAF, DCAT)
Predictive & prescriptive models
Pricing optimization, attribution, forecasting
Customer analytics (segmentation, churn, CLV)
Marketing performance & funnel analysis
ISO 25012 quality scoring
Automated validation pipelines
Lineage, cataloging, & provenance
Data standards & interoperability
Segmentation, CLV, churn
Funnel & campaign analytics
Fraud detection
Forecasting & pricing
Data quality & metadata frameworks
Operating models & governance
Maturity assessments
Transformation roadmaps
Architecture planning
AI readiness assessments
Data lakes, warehouses, lakehouses
Cloud migration (Snowflake, BigQuery, Redshift, AWS, Azure, GCP)
Orchestration & automation
Infrastructure as code
Canonical & dimensional modeling
Semantic layers & governed metrics
Reference + master data
Machine-readable metadata
Open vocabularies (Schema.org, FOAF, DCAT)
Predictive & prescriptive models
Pricing optimization, attribution, forecasting
Customer analytics (segmentation, churn, CLV)
Marketing performance & funnel analysis
ISO 25012 quality scoring
Automated validation pipelines
Lineage, cataloging, & provenance
Data standards & interoperability
Segmentation, CLV, churn
Funnel & campaign analytics
Fraud detection
Forecasting & pricing
Data quality & metadata frameworks





Experience You Can Trust – Frameworks You Can Scale With
Our methods are shaped by years of designing and delivering systems inside highly regulated, globally distributed, data-intensive environments. We understand the constraints - and how to design around them.
We don’t produce slide decks without execution. Our strategies translate directly into production pipelines, governed data models, and modern cloud architectures.
Our best delivery patterns have evolved into accelerators. They help organizations adopt standards faster, reduce technical debt, and achieve durable results.
Data is becoming more interconnected, more automated, and more essential to every part of the business. FCE Data is expanding our frameworks, refining our data products, and helping organizations adopt the standards and structures that will define the next decade of analytics and AI.
We’re committed to building systems that stand the test of time – systems that make data trustworthy, discoverable, and truly ready for AI.