Services
Data consulting services
Your organization generates terabytes of data that sits idle in systems nobody trusts. We build the strategy, analytics, governance and decision processes that make it drive revenue, cut cost and sharpen your edge.
In short
Stralya's data consulting practice builds the strategy, analytics, governance and decision processes that turn idle data into revenue, lower costs and a sharper edge. Senior consultants start from the business question, not the tool, and work alongside your teams so that you stop needing us.
2 to 4 weeks
Assessment phase
Stakeholder interviews, infrastructure audit and decision-process mapping.
6 to 8 weeks
Focused analytics use case
From assessment to a working model, with milestones agreed upfront.
4 to 6 months
Strategy and governance program
Deliverables and timeline agreed upfront for full visibility on budget.
Data services
Our data consulting services
Each service has its own page with the method, the deliverables and the guides that support it.
Data strategy
What data matters, where it lives, who owns it, and how it connects to your objectives. Roadmaps, KPI frameworks and maturity assessments that show where you stand and where to go.
Advanced analytics
Beyond reporting: models that uncover patterns, predict outcomes and prescribe actions. Every model answers a real business question, not a technical exercise in search of relevance.
Data governance
Quality standards, stewardship roles, lineage tracking and compliance frameworks that make your data trustworthy and auditable, critical under GDPR and sector regulations.
Decision optimization
Insights that reach the right people, at the right moment, in a format they can act on: analytics wired into workflows, decision-support dashboards, teams trained to act on data.
When to call us
Signs you need a data consultant
- 01
Nobody trusts the numbers in the dashboards
Conflicting definitions and unowned datasets lead to meetings about whose figure is right instead of decisions.
- 02
Data sits idle while decisions stay instinctive
The information exists, but it does not reach the right people at the moment they decide.
- 03
GDPR or sector rules require lineage and ownership
Compliance needs documented stewardship, quality standards and lineage tracking, not just a policy document.
- 04
You have no dedicated data team yet
A focused use case can prove value before you hire, and the first pipelines are built with your people.
How it works
Structured process value from week one
PHASE 01
Assessment
Two to four weeks: stakeholder interviews, infrastructure audit, analytics evaluation and decision-process mapping. The output: a diagnostic with quick wins, structural gaps and a prioritized roadmap fitted to your budget reality.
PHASE 02
Design
Target architecture for your data flows, governance framework, and the first analytics use cases prototyped on your actual data, so stakeholders can see, touch and challenge results before full-scale commitment.
PHASE 03
Implementation
Pipelines built, models deployed, dashboards configured, governance documented. We work alongside your internal teams to transfer knowledge, not create dependency.
PHASE 04
Adoption
Training, dashboard refinement from user feedback, and a review cadence so your data capability keeps evolving after we leave. Success is your team running it without us.
Why us
Business value first technology second
Business-first
Decisions, not tools
We start with the decisions your business needs to make and the metrics that move the needle, not a tool selection justified backward. Technology is a means, not an end.
Built for sustainability
You stop needing us
A strategy that only works with consultants in the room is a dependency. Knowledge transfer, documentation and training in every engagement. We measure success by how fast you become self-sufficient.
Cross-industry depth
Patterns that transfer
Financial services, retail, manufacturing, healthcare, public sector: we bring solutions your in-house team may not have met, and tell you honestly which transfer and which do not. Strictly vendor-neutral.
Pricing
How data consulting engagements are priced
Milestones and deliverables are agreed upfront, so you see timeline and budget before work starts.
| Format | Typical scope | Duration | Price |
|---|---|---|---|
| Assessment | Interviews, infrastructure audit, analytics evaluation and decision-process mapping | 2 to 4 weeks | Fixed quote after diagnosis |
| Analytics use case | One business question, prototyped on your actual data, then deployed | 6 to 8 weeks | Fixed quote after diagnosis |
| Strategy and governance program | Target architecture, governance framework, pipelines and adoption | 4 to 6 months | Fixed quote after diagnosis |
| Review cadence | Dashboard refinement and periodic reviews after adoption | Monthly | Monthly fee, quoted upfront |
What changes the price: number of data sources, governance scope, regulatory constraints and how much of the build your internal team takes on.
Reviewed by
Julien Mauclair
Co-founder, technical delivery · Stralya
Last updated:
FAQ
Data consulting FAQ
Straight answers to the questions we hear before every data engagement.
How long does a typical engagement last?
A focused analytics use case: six to eight weeks. A full data strategy and governance program: four to six months. Milestones and deliverables are agreed upfront for full visibility on timeline and budget.
Do you require specific platforms?
No. We are strictly vendor-neutral and work with the warehouses, pipelines and BI tools you already have when they fit. When a change is justified, we compare the options against your use cases, your budget and your team skills, and document why we recommend one over another.
Can you help if we have no dedicated data team?
Yes. A focused analytics use case is often the best way to prove value before you hire. We build the first pipelines and models with the people you have, train them as we go, and help you define the roles worth recruiting once the value is visible.
Is our data secure during the engagement?
Yes. We work inside your environment with the access rights you grant, on least-privilege principles, and avoid copying data out of it. Personal data is handled in line with GDPR and your sector rules, and our access is revoked at the end of the engagement.
What happens after the engagement ends?
Your team runs what we built. Every engagement includes documentation, training and a structured handover, and we measure success by how quickly you become self-sufficient. If you want, a monthly review cadence keeps dashboards and models refined as your business evolves.
Related guides
Data guides
The guides that will support each data service page, planned for the next publishing waves.
Data strategy
Building a data strategy roadmap and KPI framework
Planned guide · coming soon
Data governance
Data governance basics: stewardship, lineage and quality
Planned guide · coming soon
Decision optimization
From dashboards to decisions: wiring analytics into workflows
Planned guide · coming soon
No data guide is published yet. Each planned guide will link back to its service page.
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