When budgets and time are both limited it can be hard to justify investing in training, particularly training for things you’re already using. However, investing time and money in exchange for the right training generally pays for itself (both financially and in terms of time saved) through attendees gaining additional skills which allow for more efficient and accurate work.
In this webinar, we look at how analysts and researchers can address a host of healthcare-related applications in SPSS Statistics. The session includes demonstrations of a number of analytical techniques such as those Patient Satisfaction surveys and clinical outcomes research.
In this free on demand webinar we show how DataRobot’s AI Cloud platform creates actionable value from raw data in a single session.
In this white paper we briefly describe the tenant satisfaction measures (TSMs) and tenant survey
requirements (TSRs). We then illustrate the reality of the data preparation and analysis that is involved so TSM can be properly implemented to enable the desired organisational behaviours and tenant
outcomes.
In this free on demand webinar we show how DataRobot’s AI Cloud platform creates actionable value from raw data in a single session.
Smart Vision Europe has a decades long track record of working with the IBM SPSS software suite. Over this time, we have worked with many clients across a range of industry sectors and with diverse use cases and requirements. There is one remarkably consistent use case application. We see it time and again. Hundreds of …
NHS Trusts (and their predecessors) have always been some of the most loyal and regular users of IBM SPSS Statistics since its launch in 1968. Back in 1968 the process for buying SPSS was straightforward but as time has gone on the product itself has become much more sophisticated and the options for how to …
For more than a decade we have been helping social housing providers gain insight and understanding into how their tenants think they are performing by helping make it easier for them to analyse both their primary research data (usually collected from tenant satisfaction surveys) and other operational data. The matching and joining of tenant research …
How SPSS can make tenant satisfaction surveys easier for social housing providers Read More »
In this free on demand webinar we show how DataRobot’s AI Cloud platform creates actionable value from raw data in a single session.
In this webinar we’ll show you how to get to grips with SPSS syntax, covering the basics of SPSS Syntax, easy ways to find help about how syntax works, useful tips and little-known procedures, and automating work to run on a regular basis.
SPSS Syntax has long been exploited by expert analysts due to its flexibility, power and ease of learning. Syntax vastly increases users’ productivity by making it easier to automate commonly used procedures.
Explains what the DATASET ACTIVATE command does and explores the grammatical structure of syntax procedures.
Shows how to add comments to syntax without creating errors and explains how to use syntax Help resources to run different procedures.
Shows how read different data files with syntax, how to create and add labels to variables and how to recode data using syntax.
Explores different methods for filtering data and introduces the TEMPORARY command.
Introduces the TO and ALL commands, working with temporary variables, renaming and deleting variables, reading or saving data with the DROP and KEEP subcommands and modifying output with syntax.
Shows how to automate syntax jobs with the Production facility and creating batch scheduled jobs for timed execution.
The volume and nature of the data that most organisations hold these days mean that the analytical possibilities are great. Organisations are constantly seeking ways to extract valuable insights from their data to gain a competitive edge, using advanced analytics to help them make data driven decisions. However, as with everything, it’s really important to …
Why SPSS is a much better choice than Excel for data analytics Read More »
In this free on demand webinar we will provide an overview and demonstration of the Neural Networks module in SPSS Statistics.
While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. This post will dive deeper into the nuances of each field. What is data science? Data science is a broad, multidisciplinary field that extracts value from today’s …
What is the difference between data science and machine learning? Read More »
IBM SPSS Statistics software can be licenced and implemented in many ways. This free webinar will explain what you need to consider to make the right licencing choice for your organisation.
In this four-part blog series, we’re going to take a look at working with R in SPSS. We’ll begin by exploring the basics of running R procedures in SPSS syntax and end up showing you how to create your own SPSS custom dialogs based on R code. We’re able to run R code in SPSS …
In the previous blog post, we looked at the basics of running R procedures in SPSS syntax. In this post, we’re going to explore how to work with R packages. Packages are collections of functions and pre-built compiled code that enable R users to carry out a vast range of analytical and data manipulation tasks. …
Working with R in SPSS Part 2 – Working with R Packages Read More »
Previously, we explored how to install and load an R package to generate correlograms by executing R code within SPSS syntax. In this post, we’re going to look at how we can build a custom dialog in SPSS Statistics that encapsulates much of our previously created code and allows us to share the procedure with …
Working with R in SPSS Part 3 – Creating Custom Dialogs Read More »
In the previous blog post, we created a basic custom dialog using R code in SPSS Statistics that allowed us to generate a visual representation of a correlation matrix i.e., a correlogram. In this final posting, we will see how to add a number of additional elements that control the styling and appearance of the …
Working with R in SPSS Part 4 – Adding options to Custom Dialogs Read More »
In this two-part video series Jarlath Quinn explores how to work with the Neural Networks module in SPSS Statistics (watch part one here) Part 2: Shows how to create a partition variable to control which cases are used in Training and Testing Explores the effect of choosing different activation functions Explains and demonstrates different model training …
Introduction to the Neural Network module in SPSS Statistics – part two Read More »
In this two-part video series Jarlath Quinn explores how to work with the Neural Networks module in SPSS Statistics. Watch part two here. Part 1: Introduces the concept of Neural Networks Shows how to build a basic Neural Network model to predict credit worthiness Explains the how to interpret the default output generated by the procedure
PS Imago Pro is a result of the mature and long established IBM SPSS Partner Ecosystem. IBM encourages its partners to use their skills and expertise to develop additional functions and features that further enhance the core SPSS product that IBM offers, without diluting any of the existing functionality of that core product.
Here are a list of some of the most common data cleaning problems that you are likely to encounter and which SPSS procedures help to resolve them.
In this video, Jarlath Quinn explains how odds and relative risks are calculated and how you can code and arrange your variables so that interpretation is as straightforward as possible.
In this on demand webinar Jarlath Quinn explores Bayesian approaches to statistical analysis and shows how to perform and interpret a Bayesian tests in SPSS.
Click on each link below to find out more about which procedures and functions are in each SPSS module. SPSS Statistics Base Advanced Statistics AMOS Bootstrapping Categories Complex Samples Conjoint Custom Tables Data Preparation Decision Trees Direct Marketing Exact Tests Forecasting Missing Values Neural Networks Regression SPSS subscriptions SPSS bundles
Data and analytics are becoming ever more central to businesses and their operations. The growth of cloud computing, artificial intelligence and machine learning means that advanced analytics plays an ever-growing role in traditionally data-heavy businesses, from retail and heathcare to finance and ecommerce. How is this likely to develop further in 2023? In this blog …
Key analytics trends for 2023 and how they will affect your business Read More »
This video looks at the key concepts that underpin survival analysis such as time-to-event data, censored cases and the different survival analysis procedures available in IBM SPSS Statistics.
This video explores the Life Tables procedure and introduces many of the key concepts of survival analysis such as cumulative survival, hazard rates and survival curves
This video looks at the non-parametric Kaplan Meier procedure including tests of equality of survival distributions and the difference between survival and hazard functions.
This video introduces the Cox Regression method and explains the proportional hazards model. Shows how to interpret the output from Cox Regression using a simple model with a single predictor.
This video shows how to create a more complex Cox Regression model. Also introduces the Cox Regression with Time Dependent Covariates procedure.
Explores the historical and theoretical context of the classical ‘Frequentist’ statistical approach and its Bayesian counterpart.
Introduces the concept of Prior Probabilities and how these are utilised in Bayes Theorem.
Introduces credible intervals and the use of Bayes Factor as an alternative to P values.
Shows how to perform a Bayesian Analysis in SPSS Statistics and how to interpret the output.
IBM SPSS Statistics provides a powerful suite of data analytics tools which allows you to quickly analyze your data with a simple point-and-click interface and enables you to extract critical insights with ease. During these times of rapid change that demand agility, it is imperative to embrace data driven decision-making to improve business outcomes. Organisations …
Resources to help you accelerate your data analysis with SPSS Read More »
In this webinar Jarlath Quinn takes a deep dive into correlation analysis in SPSS Statistics. Correlations coefficients are one of the most widely-employed analytical techniques used to assess whether linear relationships exist between separate variables.
With v29 of IBM SPSS Statistics just released, should you consider an upgrade if you are running an unsupported version of SPSS? In terms of eagerness to upgrade, our customers fall in to a few categories: Some will upgrade as soon as they feasibly can – either due to IT policy or because they would …
In order to complete an upgrade to V29 you will need to have an up to date support and maintenance contract with Smart Vision. If you do not have an up to date support contract then it is possible to buy reinstatement licences to get the upgrade organised. If you would like to investigate this …
In September this year, IBM released the latest version of SPSS Statistics. Version 29 introduces some new analysis procedures and includes more recent versions of R and Python Parametric Accelerated Failure Time (AFT) Models Version 29 brings a new addition to the SPSS family of Survival analysis procedures. Unlike the existing Life Tables, Kaplan-Meier and …
How to turn insights into action One of the challenges that organisations most commonly face when conducting data science and advanced analytics projects is how to take the findings of their analysis and use them to generate value for the business. In short, how to turn insights into action. It’s not unusual for such projects …
How can you best turn your data science insights into action? Read More »
In this series of videos, Jarlath Quinn explores the rich tabulation functionality In the SPSS Custom Tables module.
In this series of videos, Jarlath Quinn explores the rich tabulation functionality In the SPSS Custom Tables module.
