Data Science and Data Scientists
Our data scientists turn data into useful intelligence using machine learning, predictive analytics and other statistical techniques.
The role of our data scientists is to manipulate and interpret raw data for our clients. The resulting intelligence can then be used to recommend actions, answer questions or inform business decisions.
Most organisations have more data than ever before, we have all heard of the term “Big Data”. When large volumes are held in structured formats such as SQL databases and unstructured formats such as Word documents, exploiting data can be challenging.
As more data is being collected, more data insights can be unlocked. We provide state-of-the-art business intelligence and business analytics, helping our clients to automate and simplify decision making.
To discover how data science can help your business, please contact us
We unlock the potential of our client’s data using Microsoft Power BI. Through custom visuals, Power BI can deliver both knowledge and wisdom to our clients, enabling them to enhance their business decisions.
Why Use Our Data Scientists?
Our data science team is experienced and works at the leading edge of data science in close association with the Institute of Data Analytics at Essex University – the current holders of the UNESCO Chair in Data Analytics.
Our team is backed up by highly experienced Business, Marketing and IT Consultants as well as software developers.
By using algorithms to ascertain which features and variables are most important to your business model, as well as heat maps and correlation charts to see real relationships between areas of your business, we can help you visualise patterns in your business. Armed with this intelligence you can use the information to improve and succeed.
You can benefit from our excellent track record in using data science to make a difference in both large and smaller businesses, including:
- Using predictive analytics and machine learning to significantly increase the sales funnel
- Improve and enhance customer segmentation
- Reduce customer churn
- Understand good and bad suppliers and customers
- Improve geographic knowledge… and much more.