Aker Systems' Solutions
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Strategy Solutions
Cloud and Data Solution Discovery
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Cloud Data Architecture Strategy
Cloud Data Capability Assessment
Enterprise Data Strategy
Cloud Cost Optimisation Assessment
Implementation Solutions
Domain Model Enablement
Enterprise Data Acquisition and Sharing
Secure Cloud Foundations
Operations and Process Solutions
DataOps Enablement
DevSecOps Enablement
Secure Data Sharing Enablement
Cloud Security, Compliance and Assurance
Aker products
Aker’s product platforms accelerate cloud and data transformation in complex, regulated environments—giving teams the infrastructure, automation, and governance needed to modernise with confidence and control.
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Solutions
Aker Solutions Overview
Strategy Solutions
Operations and Process Solutions
Implementation Solutions
Operations Management Solutions
Aker Frequently Asked Questions
This page answers common questions about how Aker Systems helps enterprise organisations modernise legacy platforms, build secure and compliant data foundations, and deliver scalable, composable architectures for analytics and AI. Whether you’re exploring a potential engagement or looking to understand our approach, these FAQs provide clear, practical answers grounded in real-world enterprise delivery.
What does Aker Systems do?
Aker Systems helps enterprise organisations modernise legacy data and technology platforms to improve delivery speed, governance, and readiness for analytics and AI.
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What is data modernisation?
Data modernisation is the upgrade of legacy data platforms, architectures, and operating models to enable scalable, secure, and well-governed data products, typically using cloud services and modern integration patterns.
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How do you modernise legacy systems without high risk?
By delivering change incrementally. We define a target architecture, prioritise high-value domains, and migrate in sequenced workstreams rather than large “big bang” programmes.
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Do all systems need to move to the cloud?
No. The right approach depends on regulatory, operational, and business constraints. We help organisations design pragmatic hybrid and cloud-native architectures where appropriate.
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Can Aker Systems help with secure and compliant data platforms?
Yes. We design and deliver secure data platforms with built-in controls for access, auditability, lineage, policy enforcement, and operational resilience.
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What does “secure-by-design” mean?
Secure-by-design means embedding security controls into architecture and delivery from the outset, including identity and access management, encryption, audit logging, and automated policy enforcement.
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How do you balance security with delivery speed?
Through standardised guardrails, automation, and reusable patterns that reduce manual approvals while maintaining compliance.
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How do you enable unified data across the organisation?
By using consistent integration patterns, clear domain ownership, shared definitions, and platform capabilities for quality, lineage, and observability.
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Do all use cases require real-time data?
No. Many use cases are best served by near real-time or batch processing. We help organisations select the right latency model based on business value and operational risk.
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How does this support AI and advanced analytics?
AI depends on trusted, well-governed data. We focus on strengthening data quality, lineage, and access controls so AI initiatives can move safely from experimentation to production.
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What is cloud sprawl?
Cloud sprawl occurs when infrastructure and services are provisioned inconsistently, leading to rising costs, security gaps, and operational complexity.
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How does Aker Systems help control cloud sprawl?
We define reference architectures, reusable patterns, and platform guardrails that standardise provisioning and operations across teams.
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Does standardisation reduce team autonomy?
No. Effective standardisation provides safe, reusable building blocks that enable teams to deliver faster without repeating infrastructure and governance work.
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Why is data trust such a challenge in enterprises?
Because ownership is unclear, definitions vary, and quality controls are inconsistent across systems and teams.
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How do you improve data quality and lineage?
By combining clear ownership models with automated quality checks, lineage capture, observability, and governance controls.
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How do you measure improvements in data trust?
Through outcomes such as reduced rework, fewer manual reconciliations, increased self-service analytics usage, and improved audit confidence.
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How does Aker Systems accelerate delivery?
By reducing architectural complexity, defining clear sequencing, and enabling teams with reusable patterns and automation.
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Can you work alongside internal teams and partners?
Yes. We commonly work as an extension of internal teams and align delivery partners around shared architectural and governance standards.
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What if internal capability is limited?
We help organisations prioritise effectively, reduce unnecessary complexity, and build sustainable internal capability over time.
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Who does Aker Systems typically work with?
Senior technology leaders in enterprise organisations, including CTOs, CIOs, CDOs, Heads of Architecture, and Enterprise Data Leads, particularly in government, finance, and energy and utilities.
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What does a typical engagement look like?
Most engagements start with a focused discovery to assess current state and priorities, followed by sequenced delivery workstreams with measurable outcomes.
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