Our Services.
What MAkes us Different.

DATA
SCIENCE

MACHINE
LEARNING

DATA
ENGINEERING

DATA
ARCHITECTURE

DATA
VISUALISATION

How
We Work

We deliver projects in iterative sprints through an agile methodology to help customers focus on delivering benefits and a return on their investment.

We recruit teams of highly skilled data professionals from our carefully curated community. Their wide range of sector and technical experience and expertise means that The Data Analysis Bureau has a unique capability to find exactly the right skills to solve any given challenge for our clients.

Our Approach

We provide an end-to-end service, designed to take you seamlessly from ideation to product. 

Click each phase below to find out more about our service and key deliverables. 

Explore Opportunities & The Art Of The Possible

Deep-dive potential use cases and opportunities; exploring the data available and resource required to support your business, and design solutions and an analytical roadmap to deliver your solution.

Deliverables:

Use case reports or designs based on the focus of your project; playback of selected problems & insights, use case or solution feasibility and approach, as well as indicative timelines for PoC.

Delivery: 1-2 Weeks

Prove The Value And The Data

Explore select use cases through an analytical investigation of your data, as well as data quality and collection protocols, and conduct early tests of machine and deep learning models to uncover actionable insights and demonstrate value,

Deliverables:

Proof of Concept outcome report detailing the validated concepts, recommendations for data quality improvements and architecture requirements, and an analytical roadmap for deployment.

Delivery: 3-4 Weeks

Technology Prototype

Build a fully working prototype, testing all elements of a functioning architecture and demonstrate value and functionality in its entirety to the business. Outline future production requirements, timescales and adoption roadmap.

Deliverables:

Functioning architecture with a service or machine learning model running in a pre-production environment.

Delivery: 8-12 Weeks

Productionise

Scale or convert your Proof of Concept or Prototype across additional data sources and architectures into a Minimum Viable Product (MVP), a system of live consumption to maximise the value from your production environment to realise full business value.

Deliverables:

A fully automated, robust solution with model performance and complete functioning architecture that is viable to be deployed for business impact.

Delivery: 12-16 Weeks

Product

Manage your model to maintain model performance with our trusted team and deliver iterations of your solution; adding additional features as requested by business users, tweaking the models based on feedback, and providing a value adding service to the business.

Deliverables:

A full model management service with solution iterations to deliver on-going business value.

Delivery: 20+ Weeks

find out how we can work with you.

Our Aim Is To Help You
move your data from
IDEA TO IMPLEMENTATION.

We have designed a framework to help you easily navigate our services and select what you need, when you need it.

Bespoke Package

We create a bespoke package for each client to reflect their needs. We aim to transform the way each business works with the growing volume of data and provide an end-to-end data science service designed to accelerate your ability to make data-driven decisions.

BUILD, TEST & RELEASE

We help formulate business questions and explore and audit client data. We help build data products, test and release them into the wild, adopting a lean start-up philosophy to ensure the success of client data projects.

SUPPORT THAT COUNTS

We provide on-going expertise to run, maintain and enhance data services.

we are trusted by
industry leading
international partners & Clients.

Our
use cases.

CHECK OUT OUR CASE STUDIES TO SEE DATA IN ACTION

interested in getting started? speak with our
world-class team.

innovation-sandbox-tdab-lab
Innovation
Eric Topham

T-DAB Lab: Innovation Sandbox

In the fast-moving multidisciplinary field of commercial data science and engineering, staying abreast and ahead of rapid technological change is key. T-DAB’s mission is to

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instrinic-clustering-structure-supervised-learning-vs-unsupervised-learning
Machine Learning
Hugo Barbaroux

Supervised learning vs unsupervised learning

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.

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