more detail
From the first idea to a working platform, DataPhoenix has the expertise to deliver your data and AI goals.
Our methodology for designing, building and deploying data lakes follows the AWS Well-Architected Framework and has been proven at some of the UK’s largest organisations. It covers data migration and security best practice, and when the work ends we hand over the skills, tools and processes your own team needs to run and improve the platform.
Data architecture and strategy comes first, so the platform is built to a design the business has agreed.
See it in practice. The secure data platform case study and the faster trading decisions case study show the work end to end, and OpenSearch and Elasticsearch for AWS data lakes covers search and analytics on top of the lake.
To realise the value of your data, you first need to bring it together in a centralised and secured repository. This is our area of expertise: data lakes on AWS.
Wherever you are in your journey to cloud, from ‘lift and shift’ to more complex cloud migration, DataPhoenix helps you choose the right approach.
We help you put the right data security approach in place and show that it works, with advice on governance, access controls and more.
Greater efficiency and cost optimisation are the key promises of cloud, but you need the right culture and DevOps platform to achieve those benefits.
Platform strategy, vendor selection, architecture guidance and operating model design, before you commit to building anything.
End-to-end design, build and source onboarding, delivered within your framework with full documentation and handover.
Scroll for
View more
Find out whether your data estate can support AI before you commit budget. Quality, PII risk and use case fit, assessed and documented.
Identify, classify and mask PII across your estate so your AI projects can proceed with regulatory and reputational risk under control.
RAG pipelines, vector stores, embedding design and context management, the infrastructure that determines what your AI actually knows.
Run AI against your internal data using private cloud services or self-hosted models. We can help when your data must stay within your environment.
Scroll for
View more
DataPhoenix delivers data platform and AI enablement with security and governance built in from the start, including PII and GDPR requirements.
We identify the use cases worth building and map each one to a clear return on investment. Every project starts with the business case, so you know what you will get back before you commit budget.
Ready to put AI to work on your data? Get in touch with the DataPhoenix team.