Smart Vision Europe

Understanding and Applying Significance Tests in SPSS Statistics training webinar
2019-02-26 10:00 - 11:30 UTC
Understanding and Applying Significance Tests in SPSS Statistics training webinar
In this 90 minute training session, you’ll learn how to choose the most appropriate statistical test of significance within SPSS Statistics for your data, as well as how to apply and interpret significance tests. The session will include:

The principles of significance testing
Variable types and levels of measurement
Parametric vs non-parametric tests
Understanding and applying tests for Crosstabs with Chi-Square
Comparing differences in means with T-Tests and Anova
Comparing relationships between numeric fields with correlations
Illustrating statistical relationships with error bars and scatterplots

After the session you’ll get a training pack including all the example data files and session outputs so that you can continue to study in your own time. You’ll also have access to a recording of the webinar which you can watch again as many times as you like.
“The explanations were very clear, and I was very pleased with how much my understanding of the topics increased. The facilitator was excellent – Jarlath really made everything click for me.”
Previous course attendee
Who should attend?

Students and academics who need to use significance testing in their research
Researchers and analysts who want to ensure that their findings are robust
Marketers running split tests or who want to know if differences in campaign performance are meaningful
Business analysts and strategists making operational decisions based on data from within the organisation who want to ensure they’re making the right decisions
Anyone who is using SPSS Statistics and wants to understand how to perform significance testing in the software

What happens after I book?
Once we have received payment from you, we will send you a personalised link that will enable you to log into the webinar on the day of the training session.
About the trainer

Jarlath Quinn
A veteran of the Predictive Analytics industry, Jarlath Quinn has worked for SAS, IBM and SPSS delivering predictive analytics solutions for major telecommunications, financial services, utilities, retail and government organisations. He is one of the most experienced and well-regarded trainers in the analytics space.

Working with decision trees in SPSS Statistics training webinar
2019-02-26 14:30 - 16:00 UTC
Working with decision trees in SPSS Statistics training webinar
Decision trees are used extensively and widely within many predictive analytics applications. In this 90 minute training session you will learn how decision trees can be used to build profiles of customers or employees as well as generate predictive models.
The training session will cover:

The uses and advantages of decision trees
Introduction to Chi-Square and the CHAID technique
Interpreting decision trees
Adjusting the algorithm to improve results
Applying predictive models with decision trees

After the session you’ll get a training pack including all the example data files and session outputs so that you can continue to study in your own time. You’ll also have access to a recording of the webinar which you can watch again as many times as you like.
Who should attend?

Students and academics who need to use decision trees in their research
Researchers and analysts who are interested in building predictive models using decision trees
Business analysts and strategists making operational decisions based on data from within the organisation who want to ensure they’re making the right decisions
Anyone who is using SPSS Statistics and wants to understand how to build decision trees in the software

What happens after I book?
Once we have received payment from you, we will send you a personalised link that will enable you to log into the webinar on the day of the training session.
About the trainer

Jarlath Quinn
A veteran of the Predictive Analytics industry, Jarlath Quinn has worked for SAS, IBM and SPSS delivering predictive analytics solutions for major telecommunications, financial services, utilities, retail and government organisations. He is one of the most experienced and well-regarded trainers in the analytics space.

Building and Applying Predictive Models in IBM SPSS Modeler training webinar
2019-03-05 14:30 - 16:00 UTC
Building and Applying Predictive Models in IBM SPSS Modeler training webinar
In this 90 minute training session, you will learn how to generate and evaluate predictive models in IBM SPSS Modeler before applying them to new datasets to drive better decisions. During the session you will learn:

An overview of the CRISP-DM process – If you’re planning a data mining or modelling project it’s vital to use a robust and well-proven methodology. The CRISP-DM methodology provides a structured approach to planning a data mining project. You’ll gain an insight into each of the elements of the CRISP DM model and understand how you can use it to plan and execute your own data mining and modelling projects.
An overview of modelling techniques – You’ll learn about the different types of modelling that are possible within SPSS Modeler and how to decide which is most appropriate for your projects.
How to define model inputs and target fields – Setting up your model by correctly defining which variable you are trying to predict and which variables are suitable to put into your predictive model.
Creating a predictive model interactively using a decision tree algorithm – How to use one of the most popular and powerful modelling techniques to build a predictive model.
Using the Auto-Classifier node in SPSS Modeler to compare different modelling techniques – Determining which is the best modelling technique to use for your particular objectives and understanding which model is likely to give you the most accurate results.
Assessing model performance using charts and tables – Understanding how best to assess the accuracy of your model.
Using a predictive model to maximise profit – How you can use predictive modelling to enhance the profitability of your organisation.
Applying a model to generate predictions against current data – Deploying your model to influence the way in which the business makes decisions in real time.

After the session you’ll get a training pack including all the example data files and session outputs so that you can continue to study in your own time. You’ll also have access to a recording of the webinar which you can watch again as many times as you like.
“There was a lot to take in but I felt the talk did a great job of getting so much content into the time frame without it being confusing. And having the material and video to look through now in my own time really helps.”
James Beaumont, Research Assistant, Derbyshire Healthcare NHS Foundation Trust

Who should attend?
This session will be useful to anyone who is currently using SPSS Modeler and wants to know how to get more out of it, or who is considering investing in SPSS Modeler for a project and wants to ensure that they are up to speed with how it works. You may also find this helpful if you have a general interest in predictive analytics and data modelling and would like a robust overview of how to build your own predictive models using one of the most powerful modelling tools available on the market today.
What happens after I book?
Once we have received payment from you, we will send you a personalised link that will enable you to log into the webinar on the day of the training session.
About the trainer

Jarlath Quinn
A veteran of the Predictive Analytics industry, Jarlath Quinn has worked for SAS, IBM and SPSS delivering predictive analytics solutions for major telecommunications, financial services, utilities, retail and government organisations. He is one of the most experienced and well-regarded trainers in the analytics space.

Understanding and Applying Linear Regression Techniques in SPSS Statistics training webinar
2019-03-28 10:00 - 11:30 UTC
Understanding and Applying Linear Regression Techniques in SPSS Statistics training webinar
In this 90 minute training session, you will learn how to make sense of and build linear regression models within SPSS Statistics and how to apply these models against new data to generate estimates and predictions. During the session you will learn:-

How to illustrate linear relationships with correlations and scatterplots
The regression equation
Building a Linear Regression model
Interpreting Linear Regression output
Dealing with problems such as collinearity
Applying a linear regression model to new data

After the session you’ll get a training pack including all the example data files and session outputs so that you can continue to study in your own time. You’ll also have access to a recording of the webinar which you can watch again as many times as you like.
“Well presented, grounded in practical use, well described terminology”
Lawrence Monk, Forecasting Team Leader, Transport for Greater Manchester
“The course was excellent, to the point and not too technical, exactly what i’ve been looking for for a while.”
Course attendee
Who should attend?

Students and academics who need to use regression in their research
Researchers and analysts who looking for relationships between variables
Business analysts and strategists making operational decisions based on data from within the organisation who want to ensure they’re making the right decisions
Anyone who is using SPSS Statistics and wants to understand how to perform regression analysis in the software

What happens after I book?
Once we have received payment from you, we will send you a personalised link that will enable you to log into the webinar on the day of the training session.
About the trainer

Jarlath Quinn
A veteran of the Predictive Analytics industry, Jarlath Quinn has worked for SAS, IBM and SPSS delivering predictive analytics solutions for major telecommunications, financial services, utilities, retail and government organisations. He is one of the most experienced and well-regarded trainers in the analytics space.

Understanding and applying logistic regression techniques in SPSS Statistics training webinar
2019-03-28 13:00 - 14:30 UTC
Understanding and applying logistic regression techniques in SPSS Statistics training webinar
In this 90 minute training session, you will learn how to make sense of and build logistic regression models with SPSS Statistics. The session will also look at how to apply logistic regression models against new data to estimate the likelihood of a categorical outcome.

The limitations of linear regression when prediction category outcomes
The theory of logistic regression
Building a logistic regression model
Interpreting logistic regression output
Assessing model accuracy
Applying the logistic regression model to new data

After the session you’ll get a training pack including all the example data files and session outputs so that you can continue to study in your own time. You’ll also have access to a recording of the webinar which you can watch again as many times as you like.
“Well presented, grounded in practical use, well described terminology”
Lawrence Monk, Forecasting Team Leader, Transport for Greater Manchester
“The course was excellent, to the point and not too technical, exactly what I’ve been looking for for a while.”
Course attendee
Who should attend?

Students and academics who need to use regression in their research
Researchers and analysts who looking for relationships between variables
Business analysts and strategists making operational decisions based on data from within the organisation who want to ensure they’re making the right decisions
Anyone who is using SPSS Statistics and wants to understand how to perform logistic regression analysis in the software

What happens after I book?
Once we have received payment from you, we will send you a personalised link that will enable you to log into the webinar on the day of the training session.
About the trainer

Jarlath Quinn
A veteran of the Predictive Analytics industry, Jarlath Quinn has worked for SAS, IBM and SPSS delivering predictive analytics solutions for major telecommunications, financial services, utilities, retail and government organisations. He is one of the most experienced and well-regarded trainers in the analytics space.

Factor and Cluster Analysis with IBM SPSS Statistics training webinar
2019-11-07 10:00 - 11:30 UTC
Factor and Cluster Analysis with IBM SPSS Statistics training webinar
Join us on this 90 minute training webinar to learn about conducting factor and cluster analysis in IBM SPSS Statistics.
“The webinar provided a clear and well-structured introduction into the topic of the factor analysis. It was well-paced and operates with relevant examples. All the materials presented were helpful and the delivery accessible.”
Daniel Staetsky, Senior Research Fellow, Institute for Jewish Policy Research

Factor analysis is a data reduction technique used to identify underlying themes (“factors”) among a range of attributes/variables:

Using factor analysis, an automotive company with 20 drivers of customer satisfaction can reduce them down to 3 underlying key themes/pillars: product, service and brand
Variants of factor analysis, such as principal components analysis (PCA) can be used to reduce the number of input fields in predictive models by generating composite variables
Factor analysis can be used to generate a score for individual people completing personality tests showing where they lie on behavioural dimensions such as introversion-extroversion

Cluster analysis is also used in a wide range of applications for the commercial and not-for-profit organisations, such as:

Segmenting consumers according to their purchase behaviours
Clustering similar retail outlets based on their sales patterns
Creating charity supporter segments based on their donations
Identifying suspicious or anomalous financial transactions

The 90 minute training session will include:

Introducing factor analysis
Exploring correlations
Performing principal component analysis
Interpreting output
Rotated solutions
Performing factor analysis
Analysing component scores
Introducing cluster analysis
Comparing cluster methods
Performing cluster analysis
Interpreting output
Exploring cluster groupings

After the session you’ll get a training pack including all the example data files and session outputs so that you can continue to study in your own time. You’ll also have access to a recording of the webinar which you can watch again as many times as you like.
“Well presented, grounded in practical use, well described terminology”
Lawrence Monk, Forecasting Team Leader, Transport for Greater Manchester
“The course was excellent, to the point and not too technical, exactly what I’ve been looking for for a while.”
Course attendee
Who should attend?

Students and academics who need to use factor or cluster analysis in their research
Anyone who is using SPSS Statistics and wants to understand how to perform factor or cluster analysis in the software
Marketers who want to understand how to better segment their customers, products, stores or any other entity

What happens after I book?
Once we have received payment from you, we will send you a personalised link that will enable you to log into the webinar on the day of the training session.
About the trainer

Jarlath Quinn
A veteran of the Predictive Analytics industry, Jarlath Quinn has worked for SAS, IBM and SPSS delivering predictive analytics solutions for major telecommunications, financial services, utilities, retail and government organisations. He is one of the most experienced and well-regarded trainers in the analytics space.

Introduction to Time Series Forecasting with IBM SPSS Statistics training webinar
2019-11-07 14:00 - 15:30 UTC
Introduction to Time Series Forecasting with IBM SPSS Statistics training webinar
Join us on this 90 minute training webinar learn about conducting time series forecasting in IBM SPSS Statistics.
Time series forecasting has a long history and a host of applications in both the public and commercial sectors. It can be used to:

Estimate the number of inbound hourly calls to a call centre to more effectively plan staff shift patterns
Improve inventory management by forecasting the sales of specific goods based on seasonal trends and correlating factors such as weather patterns
Forecasting monthly tourist/visitor numbers based on previous trends as well as changes in currency values or air travel costs

The 90 minute training session will include:

The principles of time series forecasting
Visualising time series
Smoothing techniques
Defining periodicity
Pure time series forecasts
Interpreting output and model fit
Dealing with trend shifts due to unexpected events
Using predictor fields with ARIMA modelling
Using SPSS Expert Modeler
Generating forecasts

After the session you’ll get a training pack including all the example data files and session outputs so that you can continue to study in your own time. You’ll also have access to a recording of the webinar which you can watch again as many times as you like.
“Well presented, grounded in practical use, well described terminology”
Lawrence Monk, Forecasting Team Leader, Transport for Greater Manchester
“The course was excellent, to the point and not too technical, exactly what I’ve been looking for for a while.”
Course attendee
Who should attend?

Students and academics who need to use time series analysis in their research
Anyone who is using SPSS Statistics and wants to understand how to perform time series analysis in the software

What happens after I book?
Once we have received payment from you, we will send you a personalised link that will enable you to log into the webinar on the day of the training session.
About the trainer

Jarlath Quinn
A veteran of the Predictive Analytics industry, Jarlath Quinn has worked for SAS, IBM and SPSS delivering predictive analytics solutions for major telecommunications, financial services, utilities, retail and government organisations. He is one of the most experienced and well-regarded trainers in the analytics space.

Model building for optimisation: improving efficiency and profitability
2025-02-11 10:00 - 11:00 (Europe/London)
Presenters – Robert Cordina from Funis Consulting & John McConnell from Smart Vision
In this 60 minute webinar our two presenters, both veterans of advanced analytics, modelling and optimisation, will provide an overview of optimisation theory and the different types of optimisation that can be deployed to solve complex business problems, providing sample use cases for each approach. You will see examples of models for optimisation of cost and time parameters based on real life examples.
You will learn, using pre built examples, how optimisation can remove the time consuming and costly trial and error method that is often the approach taken when tackling multi faceted problems that many businesses face.
The material covered will also provide a useful and practical overview of the technology platforms that are available to build mathematical models for optimisation and how models can be packaged with a custom user interface to deliver an optimisation solution that will fit your specific challenge.
This webinar is designed for anyone, involved in business operations and business processes where process efficiency, and operational profitability is paramount. Optimisation can be put to work in a wide array of sectors and industries where complex operations rely on a range of inputs which can impact efficiency, product quality and ultimately profitability, for example:

Food production and product development
Fast moving consumer goods production
Manufacturing
Broadcast media which rely on advertising revenue from ad placement
Optimised scheduling of staff within complex rota systems
Logistics
Optimisation of dynamic demand-based pricing

BOOK NOW

Creating your own custom chatbot – see ChatSPSS in action
2026-01-22 15:00 - 16:00, 2026-10-07 15:00 - 16:00 (Europe/London)
Discover just how simple it can be to build your own ChatGPT-like capability using Retrieval Augmented Generation (RAG) with IBM Watsonx.ai.
RAG allows you to harness the value of your proprietary assets – documentation, policies, procedures, prior RFP responses, technical reports, research papers, even recipes – and make them instantly accessible through AI. Unlike generic models, RAG ensures accuracy, content control, governance and security, helping you unlock time and cost savings while maximising the potential of AI.
In this session, you’ll learn how to:

Securely upload and manage documents so users can interact with a chatbot trained on your organisation’s own content and unstructured data.
Leverage IBM’s Prompt Lab and AutoAI RAG tools to generate high-quality models optimised against your best question-and-answer examples.
Deploy these models seamlessly to internal or external audiences, giving them instant, governed access to trusted information.

We’ll also share practical insights from our own experience – including how Smart Vision Europe has applied these technologies to create ChatSPSS, a tailored AI solution for the analytics community.
Who should attend:

Senior leaders looking for safe, governable ways to deploy AI that deliver measurable efficiency gains.
Technical professionals responsible for managing and operationalising unstructured company data.
Professionals across commercial and public sectors with an interest in the practical applications of AI.

Book your free place here

Is deployment the elephant in the Machine Learning room?
2026-02-02 15:00 - 16:00 (Europe/London)
Deployment is the most critical step in any data science or machine learning process.
It is where our ML/AI models are typically put to work in business and industrial process. Where most of the value of a data science project is derived.
If we can’t deploy then all the cost and effort invested in discovery, data engineering and model development is wasted.
Yet, according to many industry analysts more often then not deployment does not happen. Indeed, 43% of Data Scientists say that 80%, or more, of their built models fail to deploy.
Whether you are:

Looking to deploy for the first time
Or have struggled to deploy in some instances
Or perhaps you are considering new deployment options. Maybe as part of a cloud migration

What we will cover:-

A high level view of deployment
Blockers to deployment and how to manage them
Deployment options in:

Cloud and premised platforms. Inc. ML/OPS. Including AWS, Azure, IBM WatsonX
Standalone tools including Python, R, SAS , IBM/SPSS and Dataiku

The model interoperability standard PMML and new developments in PMML from OpenScoring

Who should attend?
This webinar is for any current practitioners and business stakeholders involved in data science. Or for anyone considering new ML/AI initiatives.
Book your free place now

SPSS for HR analytics: ensuring equity and predicting attrition
2026-06-05 10:00 - 11:00 (Europe/London)
Join us on this SPSS for HR Analytics webinar in association with IBM, where we will use a case history example to illustrate how statistical analysis can uncover issues in equal opportunities. We will also look at how techniques such as decision trees can be used to uncover the key factors that drive employee defection.
The webinar will include:

Conducting and interpreting significance tests to examine pay discrepancies
Comparing differences in salary whilst controlling for experience and education level
Using decision trees to create profiles of employees who are most likely to leave their employment in the next 2 years

Book your free place here
