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Data Architecture
Data Architecture review
Every organisation is collecting more data than ever before.
But here’s the catch - scaling to extract the insights you need and make informed decisions isn’t always easy. A robust, future-proofed Data Architecture is the key to turning data into value, delivering the right information to the right people at the right time in the right format.
Without it, businesses struggle with slow decisions, unreliable insights, and operational inefficiencies. With it, you enable timely analytics, machine learning models, and AI agents. Most importantly, you build trust in your data and set your business up for long-term success.
At Advancing Analytics, we’ve developed a comprehensive Data Architecture Review Framework tracking the Microsoft Well-Architected Framework, while also incorporating our broad experience of wider data landscapes across People, Process, and Technology.
Understanding these competing priorities is key to building a platform that’s not only technically advanced but also fit for purpose - enabling smarter decision-making and driving business success.
What's Involved?
Our Architecture Reviews are designed to address both a specific pain point and the broader picture that surrounds it. For example, we offer a review focused on Data Platform Infrastructure, as well as Data Engineering Processes.
These reviews can also be bespoke, shaped to fit your unique environment and needs.
Each review is grounded in the key pillars of Microsoft’s Well-Architected Framework, including Cost Optimisation, Operational Excellence, Performance Efficiency, Reliability, and Security.
Having championed and implemented Data Lakehouse architectures from the start, we know exactly what success looks like. Our review will assess your platform, highlight strengths, weaknesses, and opportunities, and give you a clear path forward.
You’ll receive:
• A presentation of the weaknesses, strengths, and opportunities for improvement within your platform.
• A detailed written report with actionable recommendations.
• A roadmap to help you move forward with confidence and purpose.
Your data architecture should be a launchpad for success, not a barrier. Let’s make sure it’s built to last.
