Data Science & Analytics

Our Data Scientists help clients gain insights from complicated datasets.

We use data science to ensure we make a meaningful impact on our clients’ business. We use the latest, relevant data science techniques to address business objectives.  We also present and explain complex data science techniques in an easy-to-understand way.

   

2
Segmentation

Segment your customers to better understand their needs and improve your ability to meet them.

3
Predictive modelling

Understand what drives key business outcomes and how to influence them in the future using machine learning.

4
Return on investment (ROI) analysis

Understand how your spend on various activities (e.g. advertising, promotional offerings) is impacting key business outcomes such as revenue, new customers, brand awareness or consideration.

6
Data integration

Integrate data into internal systems and processes to inform decision making.

7
Data visualisation

Ensure your data can be understood by all stakeholders by effectively visualising it in a manner that highlights the key insights, without requiring reams of data or pages of tables.

9
Data transformation and merging

Transform or merge multiple datasets into a single source, allowing for greater insights to be gained across departments, offices, business units or functions.

10
Big data analysis

Unearth insights using the vast amounts of data collected on customers, either through your own existing data or that collected in other public or private databases.