This webinar provides an overview of the different ways in which digital marketers can use SPSS Modeler to acquire new customers and to retain those that they already have. The webinar gives an introduction to core analytics applications and the benefits of using SPSS Modeler.
IBM SPSS Statistics is an incredibly powerful analytical tool. This event provides an overview of the range of modules available in SPSS and what each one does in order to help those relatively new to SPSS to understand its potential and identify new ways in which they could be using it.
The new RX nodes in IBM SPSS Modeler extend the Visual Data Science approach of SPSS Modeler itself to Regular Expression handling.
In this webinar we demonstrate how you can use the power of REGEX to perform the most typical text handling tasks, without the pain of learning yet another programming language.
This webinar provides an introduction to how charities can use predictive analytics and data mining in order to identify their most profitable donors and maximise donor value.
This webinar shows you how to create professional analytical reports, use an extensive portfolio of professional and innovative visualizations, and benefit from of data-manipulation procedures.
You will also learn to use a dedicated, flexible reporting application to consolidate and display multiple outputs and share reports across the organisation including via web portals.
View this webinar to see how to use Watson Studio Desktop’s powerful visual analytics to explore your data, clean and prepare data files in readiness for predictive analytics. Learn how to build and assess predictive models and to test the accuracy of your predictions and apply them to new data.
In this webinar we will draw on the hard-won experiences of industry professionals to examine precisely what drives success or failure in predictive analytics. Using the CRISP-DM framework, the session will focus on the practical aspects of planning for successful outcomes.
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.
It can cost up to six times more to get a new customer than it does to keep one that you already have. This webinar shows you how you can use predictive analytics techniques and the data that you already hold to improve customer retention rates in your organisation.
Free text data is often thought to be difficult or time-consuming to analyse, so much so that in many organisations this kind of data is collected but then not really effectively analysed at all. This session is designed to show you how easy it is to analyse this kind of data and get real value…
Decision trees are used extensively and widely within predictive analytics. In this webinar we discuss how decision trees can be used to build profiles of customers, employees and clients; find key behavioural segments and generate predictive models. You’ll learn how to generate decision trees in SPSS and how to interpret your results.
When you’re in the thick of the analysis phase of a data mining or predictive analytics project it’s easy to forget about how you’re actually going to deploy your model, but deployment is really critical to the success of any project. In this webinar we examine different methods for effectively deploying the result of your…
This webinar show you how you can use SPSS Modeler to harness the power of any unstructured data you have in your organisation, from customer feedback forms through to social media posts.
This webinar provides a brief introduction to the core functionality of IBM SPSS Statistics – ideal for anyone who is considering investing in SPSS Statistics or has already got it but isn’t sure that they’re making the most of it. This webinar helps you get up and running quickly and shows you some of the…
This webinar presents different applications of predictive analytics for database marketers. The aim is to help organisations understand how they can use the information in their marketing database to more effectively acquire new customers as well as to retain those they already have and maximise their value to the organisation.
Around 20% of students do not complete their studies, making retention a big concern for all universities and HEIs. Watch this webinar to understand which student characteristics and behaviours most influence the chances of them remaining engaged with their course.
This webinar gives a brief introduction to predictive analytics, how it differs from business intelligence, and suggests ways in which organisations can get started with predictive analytics quickly and easily.