The idea of meta modelling is to build a predictive model using the predictions or scores generated by another model. By adding the predictive scores generated by an initial modelling algorithm to an existing pool of predictor fields, a second algorithm can then exploit these scores in to build a final more accurate model.
6 secrets of building better models part five: meta models Read More »
Split models or split population modelling is another technique that allows the user to build multiple models which can then be combined to create a single prediction. The idea with split modelling is that if the data represent different populations or contain separate groups that behave in very different ways, assuming that a single model can explain all the inherent variability across these distinct populations might be unreasonable.
6 secrets of building better models part six: split models Read More »
In this video Jarlath Quinn takes a first look at SPSS Modeler v18.2 and demonstrates some of the new functionality that’s included within this release.
A first look at SPSS Modeler v18.2 Read More »
We’re often asked how you can change the appearance of the tables that SPSS generates as output. In this video Jarlath Quinn demonstrates two different ways to do this, either by choosing a different table look in the edit / options function, or by editing the table properties directly yourself.
How to change the appearance of your output in SPSS Statistics Read More »
In this video Jarlath Quinn demonstrates how to merge data files within SPSS Statistics using each of the two main methods, either adding cases (combining files with the same fields but additional rows) or adding variables (combining files by joining variables to a target file using something like an ID field as a ‘keyed variable’).
How to merge files in SPSS Statistics Read More »
SPSS users often want to be able to create grouped or banded data from continuous fields such as, for example, creating age groups or income bands from continuous fields. In this video Jarlath Quinn demonstrates how to use the visual binning procedure within SPSS Statistics to do this.
How to create grouped or banded variables in SPSS Statistics Read More »
Recoding your data means changing the values of a variable so that they represent something else. Within SPSS Statistics there is more than one type of recode that can be performed.
How to recode your data in SPSS Statistics Read More »
In this video Jarlath Quinn demonstrates how to use the functions within the explore command in SPSS Statistics to test for normality.
How to check your data for normality in SPSS Statistics Read More »
In this video Jarlath Quinn demonstrates how to work with date and time variables in SPSS using the SPSS date and time wizard.
How to calculate with dates in SPSS Statistics Read More »
In this video Jarlath Quinn demonstrates how to use SPSS Statistics to define data filters in order to select particular cases for analysis. This can be done either to create a temporary selection or to create a permanent new file with only a subsection of cases included within it.
How to select cases in SPSS Statistics Read More »
In this video Jarlath Quinn demonstrates how to reverse the values of a rating scale (such as an agreement scale or a satisfaction scale) in SPSS Statistics, so that the highest value becomes the lowest value and vice versa.
How to reverse a scale in SPSS Statistics Read More »
SPSS users often want to know how they can combine variables together. In this video Jarlath Quinn demonstrates how to use the compute procedure to calculate the mean of a number of variables to create one combined variable, and also how to use the count values procedure to count how many times a particular value occurs across a series of variables in order to create an overall count.
How to combine variables in SPSS Statistics Read More »
In this video Jarlath Quinn introduces the popular TURF analysis technique and demonstrates how to apply it in IBM SPSS Statistics. TURF analysis is used in many industries to find the optimal sub-group of options from a wider portfolio in order to maximise their appeal to an audience or market.
TURF analysis with SPSS Statistics Read More »
In this video Jarlath Quinn explains what cluster analysis is, how it is applied in the real world and how easy it is create your own cluster analysis models in SPSS Statistics.
Cluster Analysis with IBM SPSS Statistics Read More »
Sometimes you may have problems with your data issues not related so much to the values of the data but to the fields themselves, such as awkward field names. The filter node is a really useful tool that offers a bunch of tricks for dealing with awkward fields.
Introduction to the filter node in SPSS Modeler Read More »
In this video we explore variable sets – a procedure in SPSS that allows you to generate subsets of variables or fields for display within dialogue boxes and in the data editor itself.
How to work with variable sets in SPSS Statistics Read More »
Used correctly, the generate menu offers analysts some substantial time saving benefits. Watch this video to learn more about how you can use the generate menu effectively.
Introduction to the generate menu in SPSS Modeler Read More »
SPSS enables quite a high level of customisation so you can set up the software in a way that enables you to be a lot more productive, however many people are unaware of just how powerful these customisation options are. In this video we explore the options edit menu.
How to change the defaults in SPSS Statistics Read More »
The data audit node is a powerful tool you can use to help understand the shape and structure of your data before your analysis begins. You can also make some decisions here regarding how you might want to clean up your data, for example by dealing with missing values or extremes and outliers.
Introduction to the data audit node in SPSS Modeler Read More »
In part one of this video series Jarlath Quinn explains how operational analytics works, what data sources may be utilised and introduces the example case study that forms the basis of the subsequent videos in the series.
Predictive operational analytics part 1 Read More »
In part two of our predictive operational analytics video series, Jarlath Quinn introduces the IBM SPSS Modeler Software before showing how to explore the example data from the case study and carry out text analytics of engineer logs to categorise the information and create key fields for further analysis.
Predictive operational analytics part 2 – SPSS Modeler demo Read More »
In part 3 of this predictive operational analytics guide Jarlath uses the results from the previous analysis stage to show how to build and assess a predictive model that identifies whether or not a part replacement will be required during a maintenance visit.
Predictive operational analytics part 3 – predictive part replacement Read More »
In this final part of our predictive operational analytics video series Jarlath shows how we can use the predictive technology to go further by predicting the actual outcome of the visit including which part is likely to require replacement.
Predictive operational analytics part 4 – predicting task outcomes Read More »
Jarlath provides a brief history of the concept of net promoter score before introducing the case study whereby Predictive Promoter was applied to data from the guests of a major hotel chain.
Predictive promoter part 1 – introducing predictive promoter scoring Read More »
In this video Jarlath shows how to automatically produce a model that predicts customer’s recommendation scores based upon transactional and operational data.
Predictive promoter part 2 – building a net promoter score predictive model Read More »
In this video Jarlath shows how easy it is to take a previously built model that has been generated based on known outcomes and apply it to customer data where the outcome is not known.
Predictive promoter part 3 – scoring with a net promoter score model Read More »
In this final part of our predictive promoter video series, Jarlath Quinn tackles the project’s most ambitious task: mining the open-ended guest comments to uncover important insights. Here you can discover how we can use text analytics to extract a series of concepts and sentiments from customer comments in order to categorise the guests’ responses.
Predictive promoter part 4 – text mining and conclusions Read More »
In this short video Jarlath Quinn demonstrates how to use the powerful simulation tools within IBM SPSS Modeler to perform What If analysis (also known as ‘Scenario Planning’). What if analysis allows business-focused analysts to go beyond simple predictive modelling to evaluate the impact of different choices and scenarios on predicted outcomes.
What If Analysis using IBM SPSS Modeler Premium Read More »
This video shows you how organisations with substantial capital assets can use IBM SPSS Modeler to predict when asset failure is most likely. Predicting asset failure can prevent problems before they happen and enables organisations to save money, reduce asset downtime and increase efficiency.
Predicting asset failure using IBM SPSS Modeler Read More »
This video shows you how you can analyse customer comments or indeed any free-text data, using the power of the text analytics engine contained in SPSS Modeler Premium
Text analytics using IBM SPSS Modeler Premium (part one) Read More »
Learn how to exploit the power of the text analytics engine contained in SPSS Modeler Premium (video 2 of 3)
Text analytics with IBM SPSS Modeler Premium (part two) Read More »
Learn how to exploit the power of the text mining engine contained in SPSS Modeler Premium (video 3 of 3).
Text mining with IBM SPSS Modeler Premium (part three) Read More »
This short video shows how you can perform a simple affinity analysis using IBM SPSS Modeler. Affinity analysis can be used to understand interconnected relationships between key factors. For example, in retail it can be used to perform basket analysis, whereby retailers can identify which products are most commonly purchased together by customers in a single transaction or over a given period time.
Affinity analysis made easy Read More »
If you are considering making your first foray into predictive analytics or are interested in seeing the automated capabilities of IBM’s flagship analytical platform, this video will demonstrate the power and ease of building a predictive model in SPSS Modeler.
Building a predictive model in SPSS Modeler Read More »
You will learn how to: Summarise your data fields using simple descriptive statistics such as frequency counts, percentages, means, standard
Unlocking IBM SPSS Statistics (part 3) Read More »
Part two You will learn how to: Get your data ready for analysis in IBM SPSS Statistics Transform your data
Unlocking IBM SPSS Statistics (part two) Read More »
You will learn how to: Read data into IBM SPSS Statistics from other sources such as Excel files Format your data
Unlocking IBM SPSS Statistics (part one) Read More »
