Data Strategy & Architecture
Translate business priorities into a practical data roadmap, target architecture, operating model, and scalable technology foundation.
- Data maturity assessment
- Platform roadmap
- Cloud and hybrid architecture
Build a trusted data foundation for analytics, AI, and regulatory readiness.
FIX Partner designs, modernizes, and operates secure data platforms—from integration pipelines and cloud data lakes to enterprise warehouses, business intelligence, and AI-ready foundations.
We combine business context, engineering depth, governance, privacy, and auditability so your teams can use data confidently without compromising security or applicable regulatory obligations.
Talk to a Data ArchitectA complete service portfolio covering strategy, engineering, platforms, analytics, governance, AI readiness, and operations.
Translate business priorities into a practical data roadmap, target architecture, operating model, and scalable technology foundation.
Connect fragmented applications and databases through reliable batch, real-time, ETL/ELT, CDC, and streaming pipelines.
Create scalable storage for structured and unstructured data, analytics, machine learning, and governed self-service access.
Establish a reliable source of truth across finance, sales, operations, customer service, and management reporting.
Turn trusted data into executive dashboards, operational reporting, predictive insights, and measurable business actions.
Make data accountable, discoverable, traceable, and reliable through governance roles, quality controls, and lineage.
Prepare governed data for machine learning and generative AI, including RAG, vector search, and unstructured documents.
Operate pipelines and platforms with observability, cost controls, backup, recovery, and continuous performance tuning.
We design platforms with privacy, security, and auditability built into the architecture, helping organizations address applicable regulatory and contractual requirements.
GDPR-aligned privacy by design, data minimization, purpose limitation, retention, erasure, portability, and cross-border transfer controls.
Controls supporting personal and sensitive data protection, consent, processing purposes, data subject requests, and cross-border transfer documentation.
State- and sector-aware data controls for access, deletion, opt-out, sensitive data, breach response, and vendor governance.
Controls are mapped to data sensitivity, user roles, system boundaries, and operational risk—not added as an afterthought.
Assess business goals, sources, reporting gaps, data quality, security risks, and regulatory scope.
Define the target architecture, data models, governance, controls, and migration roadmap.
Engineer pipelines, storage, warehouses, analytics, cataloging, monitoring, and access controls.
Verify quality, reconciliation, lineage, performance, resilience, security, and control evidence.
Monitor reliability and cost, resolve incidents, refine data products, and expand high-value use cases.
Assess your current data platform, identify the highest-value opportunities, and create a practical roadmap for analytics, AI, and compliance readiness.