Smart Vision Europe

Tenant satisfaction analysis with SPSS
2024-03-01 10:00 - 11:00 (Europe/London)
In this webinar, Jarlath Quinn will look at how analysts and researchers can use SPSS Statistics to interrogate Tenant Satisfaction data. In particular Jarlath will explore how to:

Create new fields and filters in survey data
Explore relationships between rating scales and demographic variables
Carry out significance testing and correlation analysis
Calculate 95% Confidence Intervals
Visualise relationships between different measures of satisfaction
Record data preparation and analysis tasks in syntax for re-use on subsequent surveys

Book your free place now.

How to interpret significance tests
2024-02-16 15:00 - 16:00 (Europe/London)
What do so called ‘significance tests’ signify? In this webinar Jarlath Quinn will unpack the reasoning and theory associated with p values, null hypotheses and the whole idea of using statistics to carry out ‘tests’.
Subjects covered include:

Calculating and interpreting confidence intervals correctly
How does a Chi Square test actually work?
How to interpret P values
When is significant not significant?

Book your free place now.

Automatic Accurate Predictions with Data Robot
2023-11-22 15:00 - 16:00 (Europe/London)
In this webinar we will give you an overview of DataRobot’s leading AI Cloud platform.
In just one hour you will discover:-

How to easily upload data and immediately and start the process of automatically building accurate models
Detecting data issues and evaluating feature importance
Comparing and evaluating models with interactive charts and output
Working with model blueprints
How DataRobot deals with problems of bias and model drift

Book your free place now.

Working with Neural Networks in IBM SPSS Statistics
2023-10-11 15:00 - 16:00 (Europe/London)
In this session we will provide an overview and demonstration of the Neural Networks module in SPSS Statistics.
In just one hour you will discover:

How Neural Networks work
Building a basic Neural Network model
Optimising model accuracy by changing network parameters
Saving network models and applying them to new data for scoring

Book your free place now.

An Overview of IBM Watson Studio
2023-09-12 15:00 - 16:00 (Europe/London)
In this session we will show you how to gain access to some of the key the analytical capabilities of IBM’s Cloud Pak for Data platform with a focus on Watson Studio.
In just one hour you will discover how to:

Develop Modeler flows to generate predictive models
Work with version-controlled Modeler streams
Uncover the most accurate model using an Auto Ai experiment
Deploy models for batch scoring

Book your free place now.

SPSS Statistics licence options explained
2023-06-29 10:00 - 10:45 (Europe/London)
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.
This webinar will be useful for:

Anyone who will be using the software
Procurement – to understand more about cost options
IT – to understand about installation and configuration options

This 45 minute webinar will provide:

An overview of the modules which make up the SPSS statistics package:

Where to find more information
How to decide which modules you will need

The things to consider to find the right licence to match your needs including:

How many people will be using the software
Where the software needs to be installed
How long you will need the software for

Who should attend?
The webinar will be helpful for anyone who is considering SPSS licence options for the first time. It will also be of interest to those who already own SPSS software but whose needs have changed and who need to think about different licence options.
Book your free place here.

How to interpret significance tests
2023-06-07 15:00 - 16:00 (Europe/London)
What do so called ‘significance tests’ signify? In this webinar Jarlath Quinn will unpack the reasoning and theory associated with p values, null hypotheses and the whole idea of using statistics to carry out ‘tests’.
Subjects covered include:

Calculating and interpreting confidence intervals correctly
How does a Chi Square test actually work?
How to interpret P values
When is significant not significant?

Book your free place now

Getting started with decision trees with SPSS Statistics
2023-06-07 13:00 - 14:00 UTC
You are invited to join us for this free educational event focusing on the application and value of using decision trees. This 45 minute session will give you a straightforward overview of how decision trees work and how they can be applied to solve a range of business problems.
Using decision trees you can:

Accurately predict who is most likely to respond to your marketing campaigns by generating response propensity scores
Uncover critical relationships between descriptive, transactional and interaction data that enable a deep understanding of customer behaviour
Build visual profiles that reveal the key drivers of customer satisfaction
Deploy the decision tree as a predictive model to estimate the likelihood of key customer events such as subscription renewal, repeat purchase, upgrades or cancellations

During the event you will learn:

The principles of classification and prediction when using decision trees
How to build a simple decision tree models and rule sets
How to interpret and test results
How to apply predictive models to customer/prospect data

Who should attend?

Anyone who has used statistics tools in the past and needs a refresher, or is currently using them and would like a deeper understanding of this area of analytics
Anyone who is interested in entry-level predictive analytics software and wants to learn more about what it can do for them
Anyone who has heard of decision trees but isn’t sure why they should be using them

Some background in analytics, statistics or statistical terminology will be useful but is definitely not essential.
Book your place now.

Predictive analytics in one hour - a no-nonsense guide
2023-06-07 10:00 - 11:00, 2022-11-29 10:00 - 11:00, 2020-01-30 15:00 - 16:00 UTC
You are invited to join us for this free educational event focusing on the value of predictive and advanced analytics. The session gets behind the hype to give you insight into what predictive analytics really is, how it could make a difference to your organisation and how you can get started.
Organisations like yours generally have a lot of data, often of many different types and held in different places, so struggle to make effective use of it. As customer channels grow so does the amount of data you collect, making it even harder to know what has value and how to make use of it. A better understanding of your data, alongside a single view of your customers often leads to a breakthrough in customer insight, which in turn can lead to reduced customer churn, increased lifetime value, more effective cross-selling and up-selling and, ultimately, reduced costs and higher profits. But how can you get there?
There’s a lot of talk at the moment about predictive analytics and how it can help organisations like yours, but it can be difficult to know what’s possible and how to get started. This free one hour session gives you a quick guide to predictive analytics and shows you how you might benefit from using it.
Sign up for Predictive Analytics in One Hour and you will learn:

What predictive analytics is and what it means for your business
How organisations like yours are already using predictive analytics to improve their business
How to get started with analytics – what you need to get your project underway
How to build smarter segments – identifying key groups of people, products and places
How predictive techniques can help you identify people who are likely to act or respond in particular ways

​To book your place click here.

Data cleaning with SPSS Statistics
2022-11-29 15:00 - 16:00 (Europe/London)
In this free educational webinar Jarlath Quinn shows how clean and prepare data for analysis using standard functionality in SPSS Statistics. Jarlath will demonstrate:

Identify and remove duplicate cases
Flag variables containing excessive missing data
Identify extreme values and anomalous cases
Create rules to check for out-of-range values or illogical relationships
Quickly update and change variable and value labels
Create syntax jobs to automatically correct errors

Book your free place now.

Data-driven marketing
2022-06-07 15:00 - 16:00 (Europe/London)
You are invited to join us for this free educational event focusing on the value of predictive and advanced analytics in database marketing. You will learn how you can apply predictive analytics to both your outbound and inbound marketing campaigns in order to reduce your costs and increase your response and conversion rates.
We will show you practical examples of how prediction-driven marketing campaigns are developed from scratch. We will cover every stage, from setting up the campaign to integrating predictive analytics with operational systems and reporting platforms to enable effective evaluation, execution and monitoring.
The event will be particularly relevant for you if you are new to predictive analytics or are already doing some basic analytics but want to move beyond using simple business rules or RFM selections towards more sophisticated approaches such as propensity modelling, behaviour segmentation and next-best offers.
During just one hour you will learn:

How you can use IBM SPSS predictive analytics software to prepare and model your marketing data
About practical examples of how other organisations like yours have used predictive analytics to enhance their marketing campaigns
How best to address the challenges and opportunities of outbound (proactive) marketing analytics versus inbound (realtime) decision making
How to use cluster analysis to drive more sophisticated segmentation strategies
How to automatically generate next-best offers to maximise response and revenue from your customers
Practical advice on how to get started with the data you already have

Book your place here

Getting started with regression techniques in SPSS
2022-06-07 13:00 - 14:00 UTC
Register now for this free webinar
You are invited to join us for this free educational event focusing on the application and value of regression techniques in the IBM SPSS Statistics products. The session will give you a straightforward overview of how simple regression techniques can help your business and how to get started with regression analysis in SPSS. In just 60 minutes you will learn how easy it is to perform simple but powerful regression analysis using IBM SPSS software.
Using regression you can:

Accurately predict the response to your marketing campaigns, both what the overall response volume is likely to be and how likely individual recipients are to respond
Predict what effect a change in advertising spend or price will have on your sales
Make your marketing resources go further and be more effective – by enabling you to rank recipients of marketing campaigns by their likelihood to respond and therefore select the list to optimise response or conversion
Understand how changes you make to one aspect of your marketing might affect others – for example, how the number of tweets you send influences the number of visits to your website, or how the availability of parking influences footfall in your store.
Understand the relative strength of different factors that influence your sales – do your sales depend more strongly on price or on advertising volume?

During the event we will cover:

The principles of prediction
What linear regression is and how it can help you
How to build a simple linear regression model in SPSS
How you can predict response likelihood with logistic regression
How to apply predictive models to your data

Who should attend?

Anyone who has used SPSS in the past and needs a refresher, or is currently using it and would like more confidence in some of the processes.
Anyone who is considering making an investment in statistical software and wants to learn more about what it can do for them.
Anyone who has heard of regression but isn’t sure why they should be using it.
Anyone who’d like to know the difference between the different regression techniques and when to use them.

Some background in analytics, statistics or statistical terminology will be useful but is definitely not essential.
Spaces are limited so book yours today.

Automated time series modelling with DataRobot
2022-06-07 10:00 - 11:00 (Europe/London)
In this webinar Jarlath Quinn shows how DataRobot empowers organisations to go beyond simplistic approaches and apply advanced, AI-driven forecasting models to hard problems using Automated Time Series.

Create sophisticated, AI-driven forecasts using advanced algorithms with minimal set-up
Generate forecasts for multiple trends and aggregate series into groups using automated clustering
Automatically pre-process data to handle gaps and create predictors
Assess model accuracy with built-in, automatic time-aware back tests

Book your free place here.

Step beyond spreadsheets with IBM SPSS Statistics
2022-02-03 15:00 - 16:00 UTC
You are invited to join us for this free educational event in which you’ll learn about IBM SPSS Statistics – one of the most highly-regarded analytical software platforms. There’s a lot of talk about big data and predictive analytics at the moment, and IBM SPSS Statistics is at the forefront of this current wave of interest as one of the most powerful yet accessible analytics tools available. If you’ve been thinking about how your organisation could benefit from predictive analytic then this session will show you how easy it is to get started with IBM SPSS Statistics. During the session we will walk you through the three key areas that will enable you to make truly effective use of this powerful analytical software:

Reading and formatting data
Transforming and manipulating data
Effective analysis and deployment of results

During just one hour you will learn:

How you can read data from databases and spreadsheets into IBM SPSS Statistics
How you format the data correctly so that you don’t have to waste time editing the output
How you can easily create filters and banded fields in order to make the most of the data you already have, for example by taking customer ages and creating a new variable of age group
How you can use the SPSS Tables functionality to create publication-quality reports, enabling you to share the results of your analysis throughout your organisation
How to find statistically significant differences in groups and how to interpret the results in order to use them to make meaningful business decisions

Who should attend?
This event is aimed at non-statisticians. This event will be particularly relevant for you if you are considering using SPSS Statistics to go beyond spreadsheet-based analysis or BI/MI reporting, but anyone who’s interested in finding out more about predictive analytics will benefit from attending.
Book your place now.

Planning successful analytics projects
2021-11-24 13:00 - 14:00, 2021-05-20 10:00 - 11:00, 2020-11-26 15:00 - 16:00 UTC
It is a rarely acknowledged fact that an uncomfortably large proportion of predictive analytics initiatives fail to make any impact in the real world. 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 including:

Choosing useful project objectives
Insight vs accuracy
Establishing what a successful outcome actually means
Assessing and testing model performance
Managing time and personnel
Examples of effective application deployment
Common causes of failure
Rules for success

Who should attend?
This webinar is for anyone who is interested in exploring how to make better use of predictive analytics in their organisation and wants to ensure that their projects are successful.
Book now.

Forecasting made easy with SPSS Statistics
2021-10-29 15:00 - 16:00 UTC
Forecasting with time series analysis has been used in both the public and commercial sectors for decades. Example applications include:

Forecasting passenger numbers at ferry and airport terminals
Estimating inbound call volumes to contact centres
Predicting the load on information networks based on shift patterns and external events
Using weather data to estimate visitor numbers at key attractions

In just one hour we will cover:-

The principles of time series forecasting
Visualising time series
Defining periodicity
Using exponential smoothing methods
Interpreting model fit
Incorporating predictor fields to improve forecasting accuracy
Generating forecasts

Who should attend?

Anyone who is interested in using the data they have to forecast the future

Some background in analytics, statistics or statistical terminology will be useful but is definitely not essential.
Book your place now.

Evaluating and deploying predictive models
2021-05-20 15:00 - 16:00 UTC
This webinar will explore the question of how data analysts evaluate and choose predictive models as well as the various options for deploying them into the real world. Experienced data analysts are well aware that there is no single, universal criterion for assessing the accuracy of predictive models.
This session will compare and contrast the various measures that can be employed to evaluate model performance and focus on the importance of establishing practical success criteria early in the project cycle. The webinar will also look at how model scores can be tested, and the various options for deploying the results to the wider organisation.

What does ‘success’ look like?
Comparing measures of predictive accuracy (e.g. overall accuracy, AUC, Lift values)
Using charts to evaluate model performance (e.g. gains curves, ROC charts)
Selecting models based on profitability
Testing model performance
Deploying models

Who should attend?

Anyone who is building predictive models or interested in their deployment

Book your place now.

Harnessing unstructured data with text mining in IBM SPSS Modeler
2021-05-20 13:00 - 14:00 UTC
Please join us for this free educational event on the use of unstructured data. Emails, social media, RSS feeds, documents and free text are all examples of the unstructured data organisations hold and the volume of such data is growing fast. Every day we create another 2.5 quintillion bytes of data and 80% of it is unstructured.
Everyone has it, some companies are mastering it but most organisations are worried about it. If big data is everywhere, then unstructured data represents its largest component. An ever-growing mountain of information, increasing in size and variety every day, demands that you find a fresh approach to harnessing its power in order to make it work for you.
You may be on the cusp of a breakthrough in insight and understanding if you can organise, understand and utilise your unstructured data to get meaningful results back into your business. Find out how by joining this webinar.
In this event we will cover:

Definitions of data availability and types
Overview of techniques available for analysing unstructured data
Understanding customer sentiment
Analysing social media feeds
Categorising customer comment fields
Enhancing traditional analytics with unstructured information to make it useful and usable

​Book your free place here.

Getting started with SPSS Syntax
2021-03-18 13:00 - 14:00 UTC
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:

Fix problems without re-doing everything
Carry out repetitive tasks more efficiently
Allow analysts to share their work with others
Provide a recorded audit trail for better governance
Automatically generate results and create scheduled batch jobs

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
Automating work to run on a regular basis

Book your free place now.

Getting started with decision trees
2020-11-26 10:00 - 11:00 UTC

Retaining your most valuable customers with predictive analytics
2020-10-01 15:00 - 16:00 UTC
Register now for this free webinar from Smart Vision Europe
Join us for this free educational event and learn how you can use predictive analytics to spot the early warning signs of customer churn and determine the appropriate action to prevent it. This session gets behind the analytics hype to look at what predictive analytics really means, what’s best practice and how organisations like yours use predictive analytics to prevent customer churn in the real world.
Organisations are becoming increasingly data-rich. However the growing number of channels, greater information volume and the unstructured nature of much customer data makes it harder to find the nuggets of useful information within your data. Even if you have a substantial history of customer interactions and transactional data you can still struggle to uncover the patterns that enable you to identify customers at risk of defection.
You may already be doing some form of analytics on your customer data. But churn prediction applications often turn out to be performing churn detection as the customers or subscribers have already decided to defect. You get the information that you need too later to really do anything about it.
In this session you’ll learn how predictive analytics can help you automatically identify the key drivers of customer churn before it happens, generate risk scores for each customer and optimise your retention strategy by making timely interventions for your most valuable customers. The same techniques can also tell you which combination of channel, message and offer is most likely to stop each customer defecting.
In just one hour you will learn:

What predictive analytics is and what it could mean for your business.
How to build a timely churn retention model that prevents defection before it happens rather than identifying patterns after customers have already decided to leave.
How to build predictions, including identifying key risk groups and individuals from patterns in their transactional history.
How other organisations like yours are already using predictive analytics to reduce customer churn. For example, you’ll discover how one B2B security company reduced its customer churn by 30% and generated more than £5 million in additional revenues by deploying just one predictive model.
How you can deploy risk scores generated via predictive modelling back into your business for use in live customer interactions.

​Places are limited. Book yours today.

Customising SPSS procedures
2020-09-03 10:00 - 11:00 (Europe/London)
There are many ways to create customised routines and procedures in SPSS Statistics. Creating custom procedures can dramatically increase your productivity in SPSS and the good news is you don’t need to be an expert user or know how to ‘code’ in order achieve this. In this webinar Jarlath Quinn will show how users can:

Create a custom ‘hot button’ to automatically remove unwanted results from the output viewer.
Get to grips with the Custom Dialog Builder to create new versions of commonly-used procedures with your own default settings
Create a custom dialog that allows you to quickly switch between different table formats and output styles
Develop a dialog that combines different standard routines to create a truly customised procedure

Book your free place now

Improving predictive models with IBM SPSS Modeler
2020-03-26 15:00 - 16:00 UTC
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. The session will explore the following six approaches to increasing predictive accuracy:

Bootstrap aggregation
Boosted models
Feature engineering
Ensemble models
Meta-modelling
Split-method models

Who should attend?

Anyone who is building predictive models in any tool and who’s interested in learning more about how to improve their accuracy

Book your place now.

Applying predictive analytics in the real world
2020-02-27 10:00 - 14:30, 2019-12-12 10:00 - 14:30 UTC | One Great George Street, Westminster , London, SW1P 3AA
There’s a lot of talk about predictive analytics and big data at the moment but in amongst the hype how can you learn what it really means for you? Join this half day briefing session with like-minded individuals to gain a solid grounding and education on the terminology of advanced analytics, what’s possible and what to consider as you think about how predictive analytics could be benefiting your organisation.
Business intelligence helps organisations learn about the past but predictive analytics delivers something beyond this – actionable, forward-looking predictions as to how each customer will behave. These predictions encompass all channels, both online and off, foreseeing which customers are most likely to buy, click, respond, convert or cancel.
Using these predictions or models allows organisations like yours to deliver more relevant content to each customer, improve campaign response rates, raise click rates, understand buying behaviour, improve customer retention rates and, ultimately, to grow profit. Deployed back to the business in real-time these results can make a difference in every single customer interaction.
During the event we will cover:
An introduction to predictive analytics

What is it?
Who does it?
How is it most often applied in businesses?

How to execute a predictive analytics project

Where to start
What you will need
The best methodology to use

Details of the main techniques

Classification – grouping similar people or events
Continuous value prediction – predicting a type or an outcome
Forecasting – predicting what will happen next

A ‘Cheat sheet’ review of common predictive terminology

Time-series forecasting
Decision trees
Cluster analysis
Regression
Neural networks

Customer examples

Case studies of projects both large and small
Results and outcomes

At the end of the event there will be an opportunity for networking and discussion over lunch.
Who should attend?
No background in statistics or modelling is required – in fact this course is designed for those who have heard about predictive or advanced analytics and who want to learn more about the capabilities, possibilities and opportunities but are not themselves statisticians or analysts.
Executives and senior managers: project leaders, directors, vice presidents and decision makers of any kind.
Marketers: direct marketers, response modellers or online marketers who wish to better understand analytic practices.
Technology Experts: business intelligence managers, DBAs, data warehousing and web teams who wish to extend their expertise to predictive analytics.

Data-driven segmentation with SPSS Modeler
2019-11-21 15:00 - 16:00 UTC
You are invited to join us for this free educational event in which you’ll learn how data-driven segmentation allows successful organisations to uncover valuable insight from the transactional and descriptive data they already have.
You’ll see practical examples of how techniques like cluster analysis can help you to find subtle groupings and relationships in your data which other analysis methods might miss. We will demonstrate how to conduct a cluster analysis, evaluate the analysis results and create a segmentation model which you can then apply to new data. You’ll also see some examples of how other organisations are already using segmentation like these in order to discover similar store profiles in a retail chain, spot anomalies in customer behaviour or uncover hidden groups within their customer base.
During just one hour you will learn:

How you can use IBM SPSS predictive analytics software to explore your data and perform cluster analysis
How data-driven segmentation can be used to reveal the changing profiles of your customer/supporter base over time
How to interpret the results of data clustering and find the ‘optimal’ solution
Practical advice on how to get started with the data you already have
How other organisations use data-driven segmentation to drive better decision-making

Who should attend?
The event will be particularly relevant for you if you are looking for ways to improve your customer insight or are already doing some basic analytics but want to move beyond using simple reporting or RFM analysis towards more sophisticated approaches that allow you to provide more relevant and nuanced services and content for your customers or supporters.
Book your place now.
