A central data platform built above your source systems, anchored on Mindset, People, Process, and Technology. Funded Data Strategy Diagnostic as the low-friction entry; AWS-native delivery from there.
A modern business runs on a stack of systems that each hold part of the same answer. CRM, billing, operations, finance, each effective on its own. Stitched together, they make it hard to give your leadership team a single number for anything that matters.
We build central data platforms on AWS that become the single source of truth for your business. Your source systems keep doing what they do best, the integration debt stops growing, reporting cycles compress, and analytics, AI, and customer-facing data services become possible because the underlying data is finally trustworthy.
Your decisions get made on the loudest signal rather than the cleanest one. The number in your deck is the one someone could produce in time for the meeting, not necessarily the one that best describes the business.
Your skilled analysts and engineers spend their days reconciling sources rather than producing insight. The work they were hired for sits in a queue.
Predictive maintenance, AI-driven decisioning, ESG and compliance reporting. They all depend on the readiness of the data layer underneath. Data work tends not to feel urgent until the opportunity it’s blocking becomes urgent.
A modern data platform is a commercial asset that sits underneath everything your business does with data. The aim isn’t a tidier set of reports next to your operational systems; it’s a unified layer your business actually runs on, built so it can carry the AI and analytics work that comes next.
A single Funded morning with your leadership team, run by senior D55 consultants, anchored on Mindset, People, Process, and Technology. Funded directly by D55, no charge to you, no commitment beyond the morning. The output is a shared view of priorities and a clear next-conversation decision. The usual starting point when your strategic plan is still being shaped.
AWS-native delivery using Redshift, Athena, Glue, Kinesis, and SageMaker where your workload calls for them. Event-driven pipelines on AWS Step Functions and Lambda for real-time integration. Architecture pattern: build above your source systems, not between them.
We work as an extension of your in-house team, with skills transfer built into the delivery rather than bolted on at the end. The aim is to leave your in-house team able to own the platform and keep evolving it after the engagement.
A single source of truth on AWS your business actually runs on.
An internal team that finishes the engagement equipped to own and evolve the platform.
Reporting cycles that compress from days to hours, with the same question answered the same way regardless of which teamproduced the number.
Real-time operational visibility, replacing batch overnight reporting where your business has moved faster than the reporting cycle.
A foundation for AI, advanced analytics, predictive work, and customer-facingdata services, available because the underlying data is now trustworthy.
A fragmented SaaS estate consolidated into a central data platform on AWS, with intelligent data pipelines on AWS Step Functions and Lambda feeding a single data lake.
A real-time, event-driven bridge between Salesforce and the payments stack via AWS EventBridge and Lambda, replacing a manual integration and ending the data silo between CRM and payments.
A monolithic Windows-server data ingestion platform rebuilt as a serverless architecture on AWS Lambda, Step Functions, and EventBridge. Processing time fell by 99.9 per cent (from twelve hours to under two minutes), and the platform now supports 35 times more data sources.
An intelligent ingestion platform for high-stakes maritime intelligence data, with analyst-configurable processing rules and an automated source-weighting mechanism that produces a full audit trail of every decision taken on conflicting inputs.
One morning with your leadership team. The Diagnostic is financed directly by D55, with no charge to you and no commitment beyond the morning itself.
There’s no single answer. Engagement length depends on your source estate, your target use cases, and how much of the work is platform versus migration. A paid scoping engagement after the Diagnostic, or in place of it where your plan is already clear, sets a realistic timeline before any build work begins.
No. The Funded Data Strategy Diagnostic is financed directly by D55, not by AWS. AWS funding programmes such as the Migration Acceleration Program can apply to downstream migration or modernisation work where eligible, but the morning itself is on us.
No. Our architecture pattern is to build above your source systems, not between them or instead of them. Your CRM, billing platform, operational system, and finance stack keep doing what they do best; the central platform on AWS becomes the unified data layer your business runs on.
A vendor sells you a tool. We build a platform fitted to your business and the decisions your leadership team is trying to make. The Data Strategy Diagnostic comes before any technology choice for that reason; the right technology is much easier to choose once the strategic question is settled.
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