Predictive Analytics

Predictive Analytics

Predictive models mathematically analyse both current and historical data to produce explanations of that data and in turn make predictions, forecasts and classifications about events in the future. Complex data sets often contain patterns that are not visible using traditional manual approaches. Once a predictive model has been created it can exploit these patterns to reason about the statistical likelihood of certain situations occurring.

All aspects of an organisation can benefit from Predictive Analytics. It can point to what your customers like and do not like and can also increase efficiency when applied to business' operations. In the past Predictive Analytics has been used successfully by large retailers and financial institutions but has seen large scale adoption in recent years by businesses across every type of industry and of all sizes.

We use advanced Deep Learning techniques that have their roots in intelligent mathematics to create biologically inspired machine learning models. These models are then able to learn complex patterns to predict probabilities of outcomes and identify trends allowing you to gain an edge on your competitors.

Pattern Understanding

Predictive Analytics solutions can help you to identify new patterns and trends to get the most out of your data. With a full solution you are able to dig into what factors influence outcomes in your business and use this insight to make truly data driven decisions.

Faster Decision Making

Being able to predict what is going to happen with some degree of certainty allows you to make decisions before your competitors and with greater confidence. With more and more businesses reaping the rewards of Data Science and Predictive Analytics solutions every competitive edge is important.

Optimise Processes

Predicting trends around your business and its operations or identifying previously unknown patterns allows you to plan activities with higher degrees of optimality.

Instant Predictions

Once a predictive model has been created then every prediction that you derive from it is computed in real or near real time. What this means is that you are able to integrated a predictive analytics solution into your work flow and make use of it daily.

Investigate Future Plans

Once a predictive model has been developed it is possible to create "what-if?" scenarios and feed them into the model. Doing this can provide useful insight into not only what is likely to occur, but also why that outcome is likely.

Direct Integration

Our predictive models can make use of data from virtually any source meaning that you can integrate them directly into your business processes.

Access the Latest Technologies

Predictive Analytics has seen a lot of traction in recent years with huge advancements in Machine Learning techniques.

Improve Resourcing

Forecast resource usage to prioritise planning with the aim of increasing efficiency.

Increase ROI

Understand which profiles of your clients are likely to response to different offers can lead to a greater return on marketing campaigns and offers.

Anticipate Operational Effectiveness

Build predictive Key Performance Indicators to proactively understand if key operational metrics will be met.