Trusted data for decisions
Know where your data stands, and what to fix first
A Data & AI Readiness Assessment gives you an evidence-based answer to one question: can your data support what the business wants to do, including AI? You get a clear view of the gaps that matter most, and what to do about them, in the right order.
A senior lead replies within one business day. No obligation.
Not sure an assessment is the right start? Request a free first conversation
Data everywhere, no clear starting point
Data sits across systems, files and teams. Nobody has the full picture of what exists, who owns it or how good it is. So every new initiative starts by rediscovering the same data, and money goes to platforms before the priorities are clear.
What it costs: Repeated discovery, duplicate extracts, and investment in technology before anyone knows what it is for.
What it sounds like:
“Our data is everywhere. Where do we even begin?”
“The board wants AI, but we don't know if our data is ready.”
“We spent on a platform and a team. Where is the value?”
“Every data request turns into weeks of manual work.”
An evidence-based view, ranked by business impact
We start from what the business wants to achieve, then look at the data, systems, people and ownership behind it. Findings are supported by relevant evidence: stakeholder interviews, documentation, existing controls and, where appropriate, data samples and technical analysis. Gaps are ranked by their business, operational and regulatory impact, so the roadmap starts where it matters.
We have no platform to sell, so the recommendations follow your needs.
Two formats
| Use-case assessment | Enterprise assessment | |
|---|---|---|
| The question | Can our data support this one priority use case? | Where does the whole organisation stand on data and AI? |
| What it evaluates | Whether the data a specific use case needs can support it | The organisation's data management capabilities (maturity) |
| Scope | One priority use case: the data it needs, its quality, the systems and the ownership | Agreed data management capability areas across the organisation, assessed at a depth appropriate to the scope |
| Indicative duration | 2–4 weeks | 4–8 weeks |
| Best when | You have a specific AI or analytics goal | You don't yet know where to start |
Use-case assessment
- The question
- Can our data support this one priority use case?
- What it evaluates
- Whether the data a specific use case needs can support it
- Scope
- One priority use case: the data it needs, its quality, the systems and the ownership
- Indicative duration
- 2–4 weeks
- Best when
- You have a specific AI or analytics goal
Enterprise assessment
- The question
- Where does the whole organisation stand on data and AI?
- What it evaluates
- The organisation's data management capabilities (maturity)
- Scope
- Agreed data management capability areas across the organisation, assessed at a depth appropriate to the scope
- Indicative duration
- 4–8 weeks
- Best when
- You don't yet know where to start
What you get
| Use-case assessment | Enterprise assessment |
|---|---|
|
|
Use-case assessment
- The readiness of the data a specific use case needs
- Gaps in data availability, quality, ownership, access and integration
- The use case's feasibility and the conditions for readiness
- A readiness verdict (ready, ready with conditions, or not ready), dependencies and recommended actions
Enterprise assessment
- A baseline of current data management maturity
- Current against target capability levels
- An analysis of the capability gaps, ranked by business, operational and regulatory impact
- A prioritised improvement roadmap
Areas typically assessed (enterprise format): governance, data quality, metadata and lineage, architecture, integration and data literacy. These are indicative; the areas are agreed at scoping.
Typical first result
For an enterprise assessment, a maturity baseline, the prioritised gaps and an improvement roadmap. For a use-case assessment, a readiness verdict with the conditions and actions needed.
What the assessment doesn't include:
fixing the gaps, selecting or implementing tools, and detailed technical specifications. These are separate pieces of work, which you can do with your own team, with us or with another provider.
A senior lead replies within one business day. No obligation.
How it works
- Agree the question and the scope.Which use case or business areas, which people to talk to, what "ready" means for you.
- Gather the evidence.Interviews, document reviews and a look at the data and systems themselves.
- Assess current capabilities and define the target.Current maturity is assessed against documented evidence. The target is defined from your business priorities and the capabilities they require, not inferred from the current score. The gaps between them are identified and prioritised.
- Prioritise and plan.Gaps ranked by impact, a sequenced roadmap, and a presentation to leadership.
A heatmap with six indicative areas on a five-level scale, showing current state, target and gap.
Six indicative areas on a five-level scale. Real scores are backed by evidence.
For smaller companies
For SMEs, the assessment is scoped to fit the business and the owner's time.
- Use-case assessment (the starting point we usually recommend). Readiness for one concrete business use case. You get a readiness verdict (ready, ready with conditions, or not ready), the gaps, and a 90-day plan to a first result. Typically 2–3 weeks, with two or three short sessions of the owner's time.
- Company-wide snapshot (if you don't know where to start). The main data sources, key reports, tools and ownership, at lighter depth. You get a readiness snapshot, the top three priorities and a short roadmap. Typically 3–4 weeks, with three or four short sessions plus access to key staff.
Who does the work
A senior DataOfis lead runs the assessment from scoping to the final presentation. Specialists from our network — architects, data engineers, governance, analytics and machine learning specialists — join where the scope needs their depth.
The assessment methodology is informed by established data management frameworks and practices, such as DAMA-DMBOK.
Working together
- Indicative duration: 2–4 weeks for a use-case assessment; 4–8 weeks for an enterprise assessment. SME formats: 2–3 or 3–4 weeks.
- What DataOfis is responsible for: the agreed outputs of the chosen format and scope. You decide what to act on.
- Bought on its own: the assessment stands alone. You can act on the roadmap with your own team, with us, or with another provider.
- What we need from you: a sponsor, access to the key people and documents, and time for interviews.
Questions we often hear
No. The roadmap is yours to act on with your own team, with DataOfis, or with any other provider.
Yes, where the scope calls for it: data samples and technical analysis, alongside interviews and documentation. Access follows your security rules, and we can work within your environment.
No. The assessment covers the foundations that reporting, analytics and AI all depend on.
The roadmap sets out prioritised initiatives with indicative scope and requirements that can inform procurement planning. Detailed technical specifications are separate work, where needed.
We have no platform to sell, so the recommendations follow your needs, not a product roadmap.
What often comes next
Find out where to start
Tell us what you want your data to do. We'll discuss the right format and scope in a short scoping conversation.
A senior lead replies within one business day. No obligation.
Not sure an assessment is the right start? Request a free first conversation