Data location
Where are source data, copies, backups and logs stored? Where does data travel, including during AI processing?
An architecture that fits your organisation.
Where is your data stored? Who can access it? And where does AI process your information? We clarify the trade-offs before you commit to a platform.
Discuss your requirementsData residency concerns where data is stored and processed. Data sovereignty goes further: who has access, who manages the keys, which parties and jurisdictions are involved, and can you operate independently or switch providers?
A European data location does not automatically answer every question about control or compliance. We examine technology, operations and agreements together. Legal conclusions are reviewed with your legal and privacy leads.
Where are source data, copies, backups and logs stored? Where does data travel, including during AI processing?
Who can access data and administrative functions? We examine roles, vendor and support access, encryption and actual control over keys.
Who operates, restores and maintains the environment? Which dependencies remain and what is needed for continuity and a practical exit?
Which data may be sent to which model? We define choices for prompts, retrieval, model hosting, logging, retention and any use for model training.
We compare options for each workload. The considerations below are not product guarantees: the outcome depends on the services, configuration, agreements and operating organisation.
Managed services and scalability can reduce operational work. We assess regions and data flows for each service, access, key management, AI endpoints and dependencies on platform features.
Keep selected data or processing in your own environment and connect it selectively to cloud services. We examine data boundaries, identity, network connections and the additional operational complexity.
More direct control also requires your own capacity for security, updates and recovery. We assess feasibility, hardware and AI capacity, vendor dependencies and the operating model.
At the start of a new data platform initiative, or when an existing architecture needs a fresh look. Together with data owners, IT, security and privacy, we turn the choices into a well-founded decision.
Data, sensitivity, workloads, access rights, AI usage and dependencies. We make explicit what is known and what still needs investigation.
Document requirements for data location, access, operations, continuity, AI processing and exit. Include owners, priorities and acceptance criteria.
Compare Azure public cloud, hybrid and client-managed private cloud for each workload. Make risks, operational burden, cost drivers and missing evidence visible.
Develop the preferred architecture with data flows, trust boundaries, responsibilities and a prioritised path to validation and implementation.
You receive the information you need to make a decision. We agree in advance on the depth of the assessment and which systems we will examine.
You want to know where your data is stored, who can access it and how to keep dependencies manageable. We identify your requirements and translate them into agreements and technical decisions.
Determine who may view, share and process data, and under what conditions.
Clarify who is responsible for maintenance, security and recovery.
Identify what is needed to move data, switch providers or continue independently.
Tell us your requirements for storing, accessing and processing your data. Together, we look at the decisions you need to make and how we can help.
Discuss your requirements