Five data consulting engagement models: advisory, an assessment, training, projects or an embedded data team
Advisory or an assessment first, training where needed, then implementation projects or an embedded data team when you are ready. Choose the model that fits your goal, budget and in-house capacity.
Every company comes to data work from a different starting point. Some need to know where they stand before spending anything. Some need senior guidance on priorities, platforms and governance. Some need their people trained. And some are ready for a defined build or for ongoing analytics capacity without hiring.
So we offer five engagement models, in a deliberate order. Advisory and the AI readiness assessment are the entry points: we understand your decisions, data and team, and confirm that we can genuinely help. Training follows where your team needs it. Implementation projects and an embedded data team come once the scope is clear and your organization is ready. Each model has a defined scope, clear deliverables and pricing agreed in advance.
Engagement models
Pick the engagement model that fits where you are today
Each model below links to a page with its scope, deliverables, process and pricing approach. They are listed in the order most engagements follow: start with advisory or an assessment, add training where required, and move to implementation when you are ready.
An advisor works with your leadership and data team on priorities, platforms and governance, and confirms that we can genuinely help before any build is proposed.
A fixed-scope assessment of 2 to 3 weeks (typical, depends on scope) scores your data, processes and people, then ranks the roadmap. A common entry point.
Build skills in-house, if required: AI and data training
Team training, workshops and keynotes teach your people to use data and AI tools safely and well, tailored to their roles, so they can own the work.
Reach a defined goal when ready: strategy and implementation projects
Once the scope is clear and your organization is ready, we design and implement it on a fixed scope, from data pipelines to dashboards, toward a goal such as a faster close.
Add capacity when ready: analytics as a service
Once priorities are agreed, a fractional or embedded data team delivers dashboards, integrations and analysis every month, for a set monthly fee and a clear backlog.
3 questions. We suggest one engagement model. Nothing is sent anywhere.
Illustrative
How we work
Every engagement follows the same order: advise first, train where needed, implement when ready
Whichever model you start with, the work follows the same order. We advise first: we start with the problem in your terms, such as month-end taking too long or margin falling without a clear cause, and review your decisions, data and team. Where your people need new skills, we train them, so they can own and use the work. Before any implementation, we run a fit and readiness check. If your organization is not ready, we continue with advisory or training, and if another provider would serve you better, we say so.
Every engagement follows the same order
Select a stage, use Next or the arrow keys
Advisory. We start with the problem in your terms and review your decisions, data and team, to confirm that we can genuinely help.
Step 1 of 5
Advisory. We start with the problem in your terms and review your decisions, data and team, to confirm that we can genuinely help.
Training, if required. Where your people need new skills, we train them so they can own and use the work.
Fit and readiness check. Before any build, we confirm scope and readiness. If you are not ready, we continue with advisory or training.
Implementation. Projects or an embedded team deliver an outcome you can see, usually a working dashboard or process.
Adoption. A named team stays accountable through adoption, and your team keeps the documentation.
Three principles apply to every engagement. First, advice comes before implementation, because we measure our work by the results you achieve, not by the size of the engagement. Second, we are platform-neutral and sell no software, so advice is about fit. Third, your team owns the result. Every engagement ends with documentation and handover, and a named team stays accountable through adoption.
We deliver remotely to teams in the US, the UAE and elsewhere, across time zones, with on-site workshops where they add value. Pricing is agreed before work starts: fixed scope for projects and assessments, a set monthly fee for advisory and embedded teams.
Advice before implementation
We confirm fit and readiness before we propose any build, and we say so when it is premature.
Advice without vendor ties
We sell no licenses, so recommendations follow fit, cost and your team's skills.
Results your team owns
Documentation and handover mean the work keeps running after we step back.
Not sure which model fits? Start with a consultation
Tell us your goal and your current setup. In a first consultation we will recommend where to start, usually advisory or an assessment, and explain scope and pricing. If implementation would be premature, we will say so. There is no obligation. Book a consultation to start.