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 »
We often talk to people who are unsure whether they need SPSS Statistics or whether SPSS Modeler might be more
Do I need SPSS Statistics or Modeler? How to choose the right product for your needs 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 »
Over the past two years I’ve noticed a steady stream of articles in the mainstream press and business journals centred
Fear and loathing in machine learning Read More »
Contemporary analytical platforms like SPSS and SAS represent the some of the earliest and yet longest-lived examples of proprietary software
How alternative interfaces can help you get more out of R 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 »
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 »
A is for Automation Why bother trying out loads of modelling techniques to see which one works best when Modeler
The A-Z of analytics with IBM SPSS Modeler Read More »
An in depth guide to using the chi-squared test to determine statistical significance.
What is a chi-squared test and when would you use it? Read More »
What is correlation? Correlation is a term that we employ in everyday speech to denote things that appear to have
What is correlation and why is it useful? Read More »
The concept of the net promoter score was introduced to the world in Frederick Reichheld’s seminal Harvard Business Review article The
Understanding what drives your net promoter score – how data science can help 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 »
While reading Jared Diamond’s excellent book on the rise and subsequent global dominance of Eurasian societies Guns, Germs and Steel, I
Why not now? The barriers to adopting true predictive analytics. Read More »
There’s been a fair amount of discussion recently as to whether or not the whole big data analytics agenda has
Big data analytics – when is enough enough? Read More »
In my last blog post I talked about how it’s now possible to automate large parts of your predictive analytics
6 ways to increase the value of your predictive analytics project Read More »
What do you think of when you hear phrases like predictive analytics, data mining or machine learning? For many people
Getting started with advanced analytics – advice for analytics virgins Read More »
