Please join us for this free educational event on the use of unstructured data. Emails, social media, RSS feeds, documents and free text are all examples of the unstructured data organisations hold and the volume of such data is growing fast. Every day we create another 2.5 quintillion bytes of data and 80% of it is unstructured. Everyone has it, some companies are mastering it but most organisations are worried about it.  If big data is everywhere, then unstructured data represents its largest component. An ever-growing mountain of information, increasing in size and variety every day, demands that you find a…

Using IBM SPSS Modeler, this webinar will demonstrate methods to improve the accuracy of predictive models. It should be noted that most of these approaches are not unique to the SPSS Modeler application and may have relevance for people working with alternative software packages. The session will explore the following six approaches to increasing predictive accuracy: Bootstrap aggregation Boosted models Feature engineering Ensemble models Meta-modelling Split-method models Who should attend? Anyone who is building predictive models in any tool and who's interested in learning more about how to improve their accuracy Book your place now.

You are invited to join us for this free educational event focusing on the value of predictive and advanced analytics.  The session gets behind the hype to give you insight into what predictive analytics really is, how it could make a difference to your organisation and how you can get started. Organisations like yours generally have a lot of data, often of many different types and held in different places, so struggle to make effective use of it. As customer channels grow so does the amount of data you collect, making it even harder to know what has value and…

This webinar will explore the question of how data analysts evaluate and choose predictive models as well as the various options for deploying them into the real world. Experienced data analysts are well aware that there is no single, universal criterion for assessing the accuracy of predictive models. This session will compare and contrast the various measures that can be employed to evaluate model performance and focus on the importance of establishing practical success criteria early in the project cycle. The webinar will also look at how model scores can be tested, and the various options for deploying the results…