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.
How It Works
We take a structured approach to examining your entire data ecosystem. From raw event logs and behavioural tracking to CRM systems and product databases, we assess the usability of your data.
We start by mapping your full data landscape. We explore:
We dive deep into the structure and content of your core datasets, focusing on:
Finally, we bring it all together to answer the big question:
Is your data good enough to support your strategy?
We evaluate how well your current data setup serves the needs of your teams: product, marketing, customer success, BI and deliver actionable recommendations to close the gap.
Your product team wants clearer insights into how users actually behave. Your marketers are jumping between tools, chasing half-formed patterns. Your BI team is deep in dashboards but still second-guessing the numbers. Leadership keeps asking: “What are we actually learning from all this?”
If this sounds familiar, you’re not alone.
Many companies collect vast amounts of user data, such as clicks, sessions, transactions, and interactions, but struggle to turn that into something useful. It’s not a technology problem. It’s a clarity problem.
This Data assessment is for companies who are ready to fix that. It’s built for organisations that rely on user behaviour to drive strategy but need sharper tools, clearer structures, and more precise answers.
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.
Let’s explore whether your data can support the insights your team needs and what to improve if it can’t. No obligations, just answers.