Data strategy
A practical plan for the data your business needs, who owns it and how it creates value.
Get expert adviceA plan for the data your business needs and how to use it.
A data strategy links business goals to the data, platforms and skills needed to reach them. We assess where you are today and define a realistic path forward.
You get priorities, ownership and governance rules that make the next data and AI projects faster and safer.
Ideal for: Leadership teams, Organisations starting with AI, Companies consolidating systems.
What we do
More data engineering solutions
Data platforms
Scalable warehouses and lakehouses that serve analytics and AI.
Explore data platformsBusiness intelligence
Dashboards and reports that help people make better decisions.
Explore business intelligenceCustomer feedback
“They took a rough brief and turned it into a platform our whole organisation runs on. Delivered on time, every time. That is rarer than it should be.”
ZafarCEO, IDDAS1 of 4Service benefits
What you can achieve with DevXe Labs’ data strategy
Launch faster with AI-assisted delivery
AI speeds up research, coding, testing and documentation, while senior engineers review every change, so you reach production sooner without cutting corners.
Lower delivery risk
Threat modelling, automated tests and code review are part of every engagement, so problems surface early instead of in production.
Senior engineers from day one
The people who scope your project build it. You work directly with experienced engineers, not a junior team learning on your budget.
Full visibility into progress
Regular demos, shared boards and clear reporting show what was delivered, what is next and where the risks are.
Flexible engagement that grows with you
Start with a focused project, then scale the team up or down as your roadmap changes.
Outcome-oriented cooperation
Flexible cooperation models tailored to your needs
Every engagement is built around a model that fits your scope, budget and appetite for change, with clear accountability for delivery and quality.
Fixed price
Best for well-defined scopes. We agree milestones, deliverables and budget upfront, and you pay for outcomes.
Milestone-based paymentsAgreed scopeTime and materials
Best for evolving products. You get flexibility to change priorities as you learn, with transparent reporting on every hour.
Flexible scopeWeekly reportingDedicated team
A long-term team that works as part of your organisation, in your tools and rituals, sized to your roadmap.
Scales with youSenior engineersHow we apply AI to the SDLC
We use AI tools at every stage of delivery to move faster, with senior engineers reviewing every output and your data kept out of public models.
Discovery & requirements
Summarise research, draft user stories and spot gaps in requirements.
- Claude
- ChatGPT
Design
Explore flows and generate interface variations to test with users.
- Figma AI
- Claude
Engineering
Generate boilerplate, refactor safely and explain unfamiliar code.
- GitHub Copilot
- Cursor
Testing
Write test cases, generate test data and widen coverage.
- Copilot
- Playwright
Deployment
Review infrastructure changes and release notes before they ship.
- Claude
- GitHub Actions
Support
Triage incidents, analyse logs and draft fixes faster.
- Claude
- Sentry
Case studies
Our data strategy successes
Innomatik: a document intelligence agent that keeps its own answers honestRead case study 
Turning 80,000 untagged product photos into a searchable catalog80000+ product images enriched3 vision models in the pipelineRead case study 
Syndic: from founding thesis to investment-ready company in one session3 specialised agent rolesRead case study 
Apex Flow: Formula 1 lap-time predictions that stay accurateRead case study How we work
Key steps in our data strategy process
Review your data and pick the use case with the clearest, measurable return.
Industry-specific use cases for data strategy
Fintech
We build trading, payments and digital-asset platforms where every number reconciles and every action leaves an audit trail.
- Payments platformsSecure payment flows, ledgers and reconciliation built for trust, with idempotent APIs and double-entry records behind every transfer.
- Trading systemsLow-latency market data, order management and analytics that give traders a professional desk on web and mobile.
- Open banking & integrationsConnect banks, payment providers and accounting tools through secure APIs, with every call logged and reconciled.
- Risk & fraud analyticsModels that flag anomalies early and explain why, so your analysts act on signals instead of noise.
- Security & complianceThreat modelling, hardening and the audit evidence that enterprise partners and regulators ask for.
Technologies
Tools and technologies that we use
Our engineers work with proven, well-supported technologies and pick the stack that fits your product, team and budget.
Why DevXe Labs
Why partner with DevXe Labs for data strategy
- 01Senior engineers on every project
The people who scope your project build it. No hand-off to a junior team after the sale, and no learning on your budget.
- 02AI built into how we deliver
We use AI across discovery, design, coding and testing, with senior engineers reviewing every change, so you get speed without cutting corners.
- 03Security and quality by default
Threat modelling, automated tests and code review are part of every engagement, so the software you launch is the software that passes due diligence.