How we can help
At Applied Insights we work with our clients on a number of dimensions. We work on strategic issues like helping businesses understand how they can benefit from adopting predictive analytics and how you might develop it from an organisational perspective. Alternatively we can be ‘hands on’ with your data building predictive models to address specific business issues, or implementing and configuring software.
Our experience and expertise covers both the methodologies and the technologies involved. Wherever you are on the predictive analytics learning curve we can accelerate your progress.
For further information on our range of predictive analytics services, please contact John.
Who uses predictive analytics?
Ecommerce managers and directors: You’re looking to understand how you can improve the effectiveness of your online marketing activities
CRM Managers: You’re facing a churn problem. You have a gut feel that if you can identify customers who are attrition candidates earlier then you are more likely to be able to prevent them leaving.
Software vendor CTOs: Your software has a database which you think could be a potential source for prediction. Perhaps it already offers some level of Business Intelligence reporting/analysis.
Find out more
You can find further information on some of the methodologies and techniques involved in predictive analytics using the links below:
What is Predictive Analytics?
Predictive analytics is a collective term for a set of analytical techniques which enable us to predict future events. Many of these tools, approaches and methods have been around for a while. The term ‘predictive analytics’ really describes how these techniques (such as regression analysis, decision trees, neural networks and so on) can be used to understand likely future outcomes based on historical data. For example:
- Which customers are likely to churn?
- What will happen if I increase my marketing spend in a particular channel by 20%?
- What sequence of events on the website is likely to result in a sale?
- Which transactions are likely to be fraud?
You can find out more about predicative analytics from our blog and articles.