dunnhumby Model Lab

Accelerate your Retail Data Science

 
Gold Microsoft Partner

If you are a retail data scientist, your time is probably consumed preparing data and performing multiple repetitive tasks before you even get the chance to apply algorithms and evaluate their performance.

Now you can use dunnhumby Model Lab to automate most of those time-consuming steps, allowing you to focus on what you do best - modelling and delivering customer insights that drive profitability and customer loyalty. All faster and more cost effectively. dunnhumby Model Lab is now available on Microsoft Azure. This enables you to take advantage of Model Lab through a simple subscription and get up-and running virtually instantly.

 
 

Accelerated results

 

Accelerate
Projects

Intuitive GUI and dashboard gets you started quicker

Real-time progress updates keep you informed

Accelerate
Tuning

Automatically tune machine learning algorithms

Accelerate
Processing

Parallel computing and resource optimisation boosts performance and reduces runtime

Accelerated
Results

 
 

How it works

dunnhumby ModelLab Brochure - Accelerate your Retail Data Science

Learn more about Model Lab

Read the brochure   
 
 

Model Lab in 4 steps

1.  Manage your projects

Model Lab makes it easy to organise and manage your machine learning projects. The project-oriented structure helps data scientists keep track of their work and select the best results for your business, increasing efficiency and reducing time-to-value.

2.  Link your project with the dataset(s) of your choice

You don't need to move your data to use Model Lab. Model Lab is extremely flexible and will fetch the data on your behalf, using best-in-class protocols to read your data securely from your favourite cloud provider.

3.  Clean your data according to your needs

Model Lab provides many different options to clean your data, and you can create several cleaned versions from the same original dataset. You can choose from a selection of predefined cleaners that have been optimised for retail problems or you can customise the process to match your needs.

4.  Apply machine learning algorithms

Model Lab gives you access to many pre-defined experiments tailored for retail machine learning problems. It takes care of repetitive tasks for you with highly optimised modules, so you can focus on the design of your experiments and improving your results. The machine learning platform leverages parallel computing and automated hyper-parameters tuning, delivering results in no-time.

 

News

Parallel Processing of Machine Learning Algorithms     

Caveats of Machine Learning by Prateek Khushalani and Dr. Victor Robin

Microsoft and dunnhumby Strike Global Strategic Partnership

Partnership Further Enables the Democratisation of Customer Data Science by Making It Accessible in the Cloud