every business needs data - but not the department.
Data Analytiq is a flexible, outsourcing solution for businesses looking to get more from their data — without the cost or commitment of hiring in-house.
From cleaning raw data and exploring patterns, to building reports, modelling, and designing KPIs & performance frameworks — Data Analytiq delivers expert, tailored support to help you make the most of your data.
about Data Analytiq
I’m Peter Williams, a Berlin based data and business analytics consultant with over 10 years’ experience working in the UK public sector.
Before founding Data Analytiq, I spent a decade as an analyst within UK Policing, where I shaped performance frameworks, developed KPIs, and turned complex operational data into insights that supported real-world decisions with a direct impact on communities. That experience taught me how to deliver clear, actionable analysis in high-pressure environments — often with limited time, competing demands, and for stakeholders with little or no background in data.
Now, through Data Analytiq, I bring that same clarity and rigour to organisations that need smarter ways to get the best from their data. Whether it’s designing meaningful KPIs and performance metrics, building reporting tools, or guiding teams through performance improvement, I offer practical, honest support that fits around your needs — without the overhead of building an in-house team.
services
Data Analysis
I help businesses get real value from their data by supporting the full data process — from collecting & cleaning, to providing meaningful insights and presenting the results through clear, effective visuals that support better decisions.
performance & business analysis
I support organisations in building a more effective approach to performance and business analysis — from defining the right KPIs and setting up tailored performance frameworks, to monitoring progress and turning insights into action.
data Science
I help organisations apply data science in practical, outcome-focused ways — from designing A/B and hypothesis tests that drive better decisions, to exploring machine learning solutions that solve real problems.