Data Assessment
Our Data Assessment helps you evaluate the quality, structure, and strategic fit of your data, so you can stop second-guessing insights and start acting with confidence.
Fully tailored to your situation, delivered as a written report and a walkthrough session that leaves you with a clear action plan.
Businesses we speak to are not starting from zero. They have tools in place, data flowing somewhere, and people spending time on reporting. The problem is that nobody has ever stepped back and looked at the whole picture: what is actually connected, what the numbers can be trusted for, and whether any of it is set up in a way that will hold as the business grows.
The result is a data setup that has grown around the business. Things work until they don’t, and every time someone suggests investing more in data, the conversation stalls because there is no clear view of what needs fixing first.
We look at your data setup as it actually is today: your sources, your infrastructure, your tooling, your governance, and how well everything connects. We document what we find honestly, identify where the gaps and risks are, and deliver a prioritised action plan that tells you what to do next and in what order.
The output is fully tailored to your situation, shaped by what we find rather than a template we apply regardless of context. Every recommendation is specific to your business and grounded in what the assessment uncovered.
A data assessment is the right starting point whenever you need a clear picture of where you are before deciding what to do next. These are the three situations where businesses typically reach out.
Your business generates data, but has no structured way to use it. Before committing to a platform, a build, or a hire, a data assessment gives you a clear picture of what you actually have and what the right first steps look like.
Dashboards that nobody trusts. Reports that take too long. A BI tool that was implemented and then quietly stopped being used. A data assessment identifies exactly where the setup is falling short and what needs to change to make it work.
Considering a new BI platform, a data warehouse, or a significant reporting project. A data assessment validates whether your current infrastructure can support it, surfaces the gaps that need to be addressed first, and provides a foundation for correctly scoping the investment.
We start with a scoping conversation to understand what your business does, what data it generates, what decisions it needs data to support, and where the friction is today. This is also where we agree on the scope of the assessment.
Getting the scope right at this stage means the assessment focuses on what is specifically important to your business.
We review your data sources, your infrastructure, your reporting setup, your tooling, your governance practices, and your analytics readiness. This involves a combination of documentation review, system access, and structured conversations with the people in your business who work with data day to day.
We are looking for the real picture. Where something is fragile, inconsistent, or missing entirely, we document it honestly. The value of the assessment is in the accuracy of the findings.
We compile the findings into a written report scored across the six assessment areas, with a prioritised set of recommendations based on what will have the greatest impact given where your business is today. Recommendations are practical and sequenced: what to do first, next, and hold back until the foundations are in place.
The report is written to be read by leadership. Plain language throughout, with enough detail that the recommendations can be acted on without needing us in the room to explain them.
We present the report in a live session with all relevant stakeholders. We walk through the findings area by area, explain the reasoning behind the recommendations, and give your team space to challenge, ask questions, and dig into the specifics.
By the end of the session, you have a clear view of where it stands, what to prioritise, and what the realistic options are for moving forward. For businesses that want to act on the recommendations with i-spark, this session also becomes the starting point for scoping whatever comes next.
Every assessment is based on what you need to understand. The areas below represent the dimensions we typically look across, but what we focus on, how deep we go in each area, and what questions we prioritise are all determined by your specific context.
Which systems hold your data, how they connect to each other, and where the gaps or fragmentation are creating problems downstream.
How consistent, accurate, and complete your data is across key sources and where quality issues are undermining the decisions that depend on it.
What reporting infrastructure is in place, how well it is being used, and whether the tools your business has chosen are the right fit for what it actually needs.
Whether your key metrics are defined consistently across the business, who owns data quality, and how decisions about data are currently made.
How your data infrastructure is structured today, whether it is built to support what you need from it, and where the technical foundation needs strengthening.
How prepared is your business to move from basic reporting to more advanced analytics, and what do the realistic next steps look like given where you are today?
Questions we often hear about Data assessments.
A Data assessment is a structured evaluation of how suitable, reliable, and strategically aligned your data is. We look at your sources, structure, quality, and gaps, then provide a clear action plan to help you make smarter decisions with better data.
Not at all. This is especially useful if you’re still maturing your data practices, relying on spreadsheets, or unsure what data lives where. We meet you where you are whether you’re exploring dashboards, cleaning up legacy systems, or preparing for BI tools.
We focus on user interaction data: behavioural events, CRM records, product usage, marketing data, transaction logs, customer profiles, and more. Whether your data lives in a product analytics tool, cloud storage, or a set of linked spreadsheets, we assess its structure, quality, and readiness.
That’s completely normal. Most companiesstart with fragmented data. A good data strategy takes that into account, it identifies what’s missing, what’s usable, and what needs improvement to support better decisions.
