CARE HOME COVID-19 TESTING TRACKER
Welcome to THE data analysis bureau
We use data science to deliver
better decisions is
We are a data science and data engineering innovation agency specialising in machine learning solutions.
We provide an end-to-end service, designed to take you seamlessly from ideation to prototype, through production and help you to scale.
We take the time to understand your data to help you make better decisions.
We have proven our approach across industry, helping our clients to understand their data and how to apply advanced data science techniques to unlock the benefits.
understand your data
Visualise your operations and business intelligence, and scale your project to the business.
build machine learning
Utilise proven expertise and frameworks to build machine learning models and prototypes.
Accelerate data projects
Deliver your data projects with an extended expert team and trusted partner.
Uncover New Insights
Map business challenges with data solutions to find new and additional insights.
innovation and strategy
Explore new opportunities and business challenges in data, machine learning & AI.
Our Industry Focus
“The T-DAB team helped us to explore new ways to analyse and extract useful insight from a large and complex dataset... for a 'lay' audience.”
David Boon | Director | Fraction
Utilising the latest analytical disciplines and emerging technologies, we deliver actionable insights to help our clients take advantage of new opportunities.
A value-oriented approach means we focus on quality to deliver demonstrable results back into the business.
What We Do
We combine our deep technical expertise and industry experience to deliver an end-to-end solution to help our clients achieve their objectives.
BOOK a free consultation call today to get started!
Machine Learning is all about understanding data, and can be taught under this assumption. This post introduces supervised learning vs unsupervised learning differences by taking the data side, which is often disregarded in favour of modelling considerations.