Unlock the potential of your data

At Incremental, we are experts at extracting business value from data and helping you to make sense of the large quantity of data in your organisation. We help organisations to embrace descriptive, predictive and prescriptive analytics. In order to do more with data, your organisation needs strong data foundations, based on accurate and accessible data. 

Data Science 

We live in an increasingly digital world. As individuals, almost every aspect of our daily life has been affected, with digital technology helping us communicate, travel and relax.  This digitalisation of daily life has led to an explosion in the creation of data.  Data describing our shopping habits, travel patterns, and even social interactions is increasing exponentially as digital technology continues to get more and more sophisticated. 

Data analytics offers huge scope for efficiency improvements.  For many organisations, embracing this change can seem daunting, due to the complexity of putting it into practice.  For initial ventures into data analytics, Incremental recommends a step-by-step approach, breaking work into smaller, more manageable projects, each of which adds value to the organisation and enables the next. 

Incremental has the data science expertise and technical know-how to help your organisation start this journey. 

Microsoft Azure

With out-of-the-box AI, ML and Cognitive services, Azure can bring data science into your business and applications.

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Power BI

Power BI is a cloud-based business analytics tool that enables organisations to connect to, visualise and analyse data with improved performance, efficiency and understanding.  Power BI connects users with a broad range of live data through easy-to-use dashboards, interactive reports and compelling visualisations that bring your data to life.

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Explore the possibilities of Data Science and AI within the Microsoft Azure Data Analytics Landscape

What we offer

Model testing and review

Review existing models and their associated processes, making recommendations on ways to improve.

Model development

We become the data science department, managing model development and deployment.

Full end to end build

We build out the full end to end pipeline for model training, scoring and deployment.

AI envisioning

We uncover existing datasets and potential application of AI technology.

Proof of concept

We create an AI application around single dataset/subject area to validate a further investment.

AI platform build

We create the data platform to create and host models, without doing the core data science.

An Introduction to Data Science

Practical Applications of Data Science


AI in action cover photo

Get an in-depth look at how developers like you are using artificial intelligence (AI) to create the next generation of apps.


Data Science 101 for Professional Services

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We create, support or migrate your applications

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