Built on experience. Focused on what matters.
Technology changes. The challenge of making sense of it doesn't.
Mindspace Analytics was founded by Caroline Lewis, drawing on more than two decades of experience across technology, financial services, data and commercial development.
From technology roles within leading City of London financial institutions to business analysis, fintech, data and commercial development, one thing has remained constant:
Businesses have no shortage of information.
The challenge is knowing what matters — and what to do with it.
Mindspace Analytics brings those worlds together — combining an understanding of technology, data and commercial decision-making to help businesses find the information that matters and turn it into action.
Experience from different sides of the business.
Technology. Data. Commercial.
The connections matter.
Mindspace is shaped by experience across different parts of the business — from the technology that organisations depend on, to the data they generate and the commercial decisions that follow.
A career spent close to the decisions.
From the trading floor to the decisions behind the business.
Financial markets & critical systems
Working within major global financial institutions in the City of London, supporting technology in fast-moving, business-critical trading environments.
01 — Technology
Connecting information with decisions
Working across business analysis and data, translating complex information into a clearer understanding of business needs, performance and opportunity.
02 — Business & Data
Turning insight into opportunity
Working with technology and fintech businesses across customer relationships, sales and commercial development — understanding how better information can sharpen focus and uncover opportunity.
03 — Commercial
Mindspace Analytics is built on that perspective — not simply analysing data, but understanding the business decisions it needs to support.
HOW WE WORK
Start with the question.
Then find the data that matters.
We don’t begin with a predetermined dashboard or model.
We start with what you need to understand, improve or decide — then work with the data you already have to find the clearest route to an answer.
Sometimes that means cleaning and combining information. Sometimes it means analysis, reporting or a dashboard.
The output follows the question, not the other way around.
START WITH THE QUESTION
What are you trying to understand?
Tell us what you're trying to understand, improve or decide. We'll help you work out what the data can tell you.
Who
Why
What
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How
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