Data strategy and architecture
Define the target architecture, operating boundaries and practical roadmap connecting business outcomes to data investment.
Building trust in data & AI systems
Turning data into advantage.
Continuously modernize data to innovate and reduce cost, technical debt, and risk.
One implementation view
Data change reaches across the system.
Zyric is a specialist Data & AI consultancy founded on an innate desire to create real-world change.
The model
Your data is worth more here.
Frame the outcome
We start with the decision, service or product the data must enable, then assess the current estate, users and constraints.
Design the architecture
We define the smallest dependable data architecture, product boundaries and delivery roadmap needed to create value.
Build and embed
We engineer the pipelines, models and interfaces, put quality and observability in place, and leave the capability owned by your team.
Capabilities
Five connected capabilities.
Data engineering
Build dependable ingestion, transformation and orchestration pipelines with quality, observability and maintainability designed in.
Data products and services
Turn raw data into governed datasets, APIs and reusable services with clear owners, users and measurable purposes.
Data quality and governance
Establish trusted definitions, lineage, controls and accountability so teams can confidently use and share their data.
Data foundations for AI
Prepare reliable, governed and accessible data for AI applications, retrieval systems, models and automation.
Approach
Trust is part of the implementation.
Across data strategy, architecture, engineering, products, governance and data foundations for AI, the work stays grounded in the system being changed.
01
Understand the environment
Assess the data estate, users and constraints before implementation decisions are made.
02
Connect the architecture
Treat data architecture, product boundaries and the delivery roadmap as connected implementation concerns.
03
Integrate trust
Put quality, observability and governance within implementation rather than alongside it.
Start a conversation
Bring the implementation question.
Tell us which Azure environment or implementation question you are considering. Please keep your first email non-confidential.
info@zyric.ai