Data Science

Data Science

Helping you to meet your Big Data challenges head-on, we work with you to translate your business issues into well-defined data projects with clear analytical goals. This structured approach, along with our focus on business impact ensures that each project provides maximum return on investment.

Data Fusion and Enhancement

Cleaning, integrating and optimising your disparate data sources

In the real world of business data is messy. It can be scattered across multiple warehouses, in multiple formats, accessed by multiple feeds and reporting tools. Sometimes a large proportion of the data is simply missing. We are experts in integration of disparate data sources and “filling up” incomplete datasets through imputation techniques. Sometimes this a preparatory stage for further analytical modelling, whilst on other occasions it is an end in itself. The outcome is data that you can work with more easily to help direct crucial business decisions.

Customer Database Segmentation

Your data shows you how diverse your customers are and how differently they behave. So why treat them as if they are all the same?

Segmenting your database allows you to prioritise discrete groups of customers for tailored up-selling and cross-selling approaches. It also provides a framework for you to identify high value customers, and those who might be at risk of leaving you. With this knowledge you can plan CRM activities to address opportunities and threats, and ultimately help deliver business growth. With over 900 segmentations under our belts we are world leaders in segmentation, and bring this depth and breadth of  expertise to every project.

Customer Predictive Modelling

Stay one-step ahead of your customers by predicting and anticipating what they will need or do next

Nobody really knows what the future holds, but predictive modelling can hold a torch to the darkness. We use advanced predictive analysis techniques to develop propensity models that help you to predict response to communications, promotions and other marketing activities. Our clients love predictive modelling for its straightforward deployment and demonstrable ROI.

Multiple Source Analysis

The whole can definitely be greater than the sum of its parts

Data is not something you are short of. Customer satisfaction, social media tracking, brand tracking, sales, footfall, web traffic – these are multiple lenses through which you can understand how consumers think and behave, and how your business is performing. But treat these lenses in isolation and it can be hard to deliver anything but a piecemeal picture of what you need to do next as a business. With multiple source analysis we take a systemic view of your data to deliver integrated, clear and insightful recommendations for driving business growth.

Case Studies

Data Fusion and Enhancement

Fusing database sources to drive motor manufacturer service pack sales

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Customer Predictive Modelling

Optimising marketing communication with a predictive model of ticket purchase

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Multiple Source
Analysis

Diagnosing the decline in sports
participation

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