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Videos uploaded by user “Smart Vision Europe”
SPSS tips and tricks part 7
 
03:05
Recovering Lost Work with the Journal File – Instantly recover analysis and file transformations with SPSS’ own ‘black box’ recorder
Views: 1637 Smart Vision Europe
How to build a predictive model using IBM SPSS Modeler
 
09:48
For those who are considering making their first foray into Predictive Analytics or anyone interested in seeing the automated capabilities of IBM's flagship analytical platform, this video will demonstrate the power and ease of building and deploying a predictive model using IBM SPSS Modeler.
Views: 22816 Smart Vision Europe
How to perform text analytics using IBM SPSS Modeler Premium (Part1 of 3)
 
04:37
For those interested in how they can analyse customer comments or indeed any fee-text data, Jarlath Quinn illustrates how to exploit the power of the text analytics engine contained in SPSS Modeler Premium. This short three-part series of videos shows how to get the best from the in-built text mining resources of Modeler Premium in order to accurately classify text data and capture customer sentiment.
Views: 7250 Smart Vision Europe
TURF analysis with SPSS Statistics
 
11:48
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. As such, TURF analysis is used to: Find the best assortment of SKU’s that appeal to the largest group of customers Identify the best 3 publications to reach the largest share of market Discover the optimal assortment of services to entice the most new clients
Views: 2510 Smart Vision Europe
How to perform text analytics using IBM SPSS Modeler Premium (Part 2 of 3)
 
06:55
For those interested in how they can analyse customer comments or indeed any fee-text data, Jarlath Quinn illustrates how to exploit the power of the text analytics engine contained in SPSS Modeler Premium. This short three-part series of videos shows how to get the best from the in-built text mining resources of Modeler Premium in order to accurately classify text data and capture customer sentiment.
Views: 4101 Smart Vision Europe
SPSS Modeler tricks and tips - the data audit node
 
06:07
The data audit node – A Swiss army knife for data cleaning
Views: 2865 Smart Vision Europe
Affinity analysis made easy using IBM SPSS Modeler
 
08:03
In this short video Jarlath Quinn demonstrates 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. This information can then be used as the basis for 'next-best action' recommendations as part of initiatives to drive increased cross-selling, new promotions, loyalty programs or new store layouts.
Views: 2380 Smart Vision Europe
SPSS tips and tricks part 4
 
08:30
The Date and Time Wizard – How to manipulate, transform and calculate with date and time fields with minimum fuss
Views: 1122 Smart Vision Europe
How to perform a 'What if?' analysis using IBM SPSS Modeler
 
16:16
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. This sophisticated, yet easy-to-use functionality allows successful organisations to find the optimal price point, discount, campaign creative or resource allocation to maximise opportunity and minimise risk.
Views: 2956 Smart Vision Europe
How to perform text analytics using IBM SPSS Modeler Premium (Part 3 of 3)
 
04:38
For those interested in how they can analyse customer comments or indeed any fee-text data, Jarlath Quinn illustrates how to exploit the power of the text analytics engine contained in SPSS Modeler Premium. This short three-part series of videos shows how to get the best from the in-built text mining resources of Modeler Premium in order to accurately classify text data and capture customer sentiment.
Views: 3262 Smart Vision Europe
Seven secrets of SPSS Modeler
 
35:56
This video is the first in a series offering insight into some under-used or little-used cool functions in SPSS Modeler software. This is particularly aimed at either 1) existing users (especially the self-taught) 2) people who have looked at/evaluated the software in the past 3) people who use similar software but are curious about stuff like this. In this first video you can learn about:- 1. The Data Audit Node: The ‘Swiss army knife’ of data cleaning 2. The ‘Generate’ menu: The super quick way to create new fields 3. The Filter Node: Zaps Awkward Fields 4. The Graphboard Node: A Visualisation Goldmine 5. The Simulation Nodes: Makes ‘What if’ analysis easy 6. The Reclassify Node: Cleaning categories has never been easier 7. The ‘Split’ Role: Separate models for separate groups
Views: 13140 Smart Vision Europe
Cluster analysis with SPSS Statistics
 
19:17
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. The video includes: A demonstration of cluster analysis using sample data How to use the Cluster Viewer facility to interpret and make sense of the analysis results How to apply a cluster model to a data file and rename the groups to make them meaningful to non-experts How use cluster analysis to illustrate how a customer base changes over time
Views: 2873 Smart Vision Europe
Predicting asset failure with IBM SPSS Modeler
 
15:47
Jarlath Quinn explains how organisations with substantial capital assets can use IBM SPSS Modeler to predict when these assets are most likely to fail, thus preventing problems before they happen, saving money, reducing asset downtime and increasing efficiency.
Views: 1971 Smart Vision Europe
SPSS tips and tricks part 2
 
04:53
Working With Variable Sets – How to create groups of variables so that you can more easily navigate your way around wide data files
Views: 691 Smart Vision Europe
SPSS Modeler tricks and tips - the filter node
 
05:39
The filter node - zaps awkward fields
Views: 1330 Smart Vision Europe
Part1 Introduction to Predictive Promoter and Case Study
 
04:55
This brief video explains what Smart Vision’s Predictive Promoter solution is and how data science can be applied to Net Promoter Score to gain a much deeper understanding of the factors driving customer recommendation ratings and how you can take action to influence them influence them. 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. The hotel chain’s management team wanted to address three key questions: 1) Understand what transactional and operational factors are most strongly related to the score; 2) Estimate whether other hotel guests are ‘Promoters’ or ‘Detractors’ even if they haven’t been asked to provide a score and use these estimates to target high-spending ‘Passives’ for a special offer; 3) Uncover patterns in customer comments/verbatim text that help to predict the guests’ recommendation scores.
Views: 389 Smart Vision Europe
Introduction to BlueSky Statistics
 
22:33
How BlueSky Statistics can make data analysis with R easy. An overview of the functionality of the BlueSky package. How you can analyse data from any source using R via BlueSky's intuitive interface.
Views: 389 Smart Vision Europe
Part 2 Building an NPS predictive model
 
16:09
In this video Jarlath shows how to automatically produce a model that predicts customer’s recommendation scores based upon transactional and operational data. We can also see how we can evaluate the model accuracy and browse its contents to uncover what are the key fields in the transactional and operational data that the model has chosen to make its predictions before finally examining the rules that the model has uncovered to estimate the guest’s recommendation class.
Views: 1151 Smart Vision Europe
SPSS Modeler trick and tips - the reclassify node
 
03:54
The reclassify node - cleaning categories has never been simpler
Views: 679 Smart Vision Europe
Predictive Operational Analytics Part1
 
06:18
Jarlath Quinn introduces Smart Vision’s new Application Template offering for Operational Analytics. He 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.
Views: 406 Smart Vision Europe
Stats Tips and Tricks Part 1
 
13:52
Changing SPSS's default settings - how to get the most out of SPSS by customising it to your needs.
Views: 470 Smart Vision Europe
Introduction to the CRISP DM data mining methodology - webinar recording
 
50:04
When you’re starting out in data mining or predictive analytics it’s all too easy just to jump straight in and hope for the best, but projects approached in this way commonly fail. To maximize your chances of success, you need to apply a structured project management methodology to your data mining plan. The most commonly used such methodology is CRISP DM (cross industry process for data mining). The CRISP DM approach is widely used, robust and well-proven as well as being intuitive and simple to understand. We recommend that all our clients use CRISP DM as the basis of their data mining and predictive analytics projects. Time and again we see that the most successful client projects are those which apply it effectively. Hence, we produced this free webinar which provides a quick introduction to the methodology and some practical advice on how to apply it to your own projects.
Views: 767 Smart Vision Europe
SPSS tips and tricks part 5
 
06:37
The Style Button – Automatically highlight interesting values in output that exceed defined thresholds, indicate significant relationships or strong correlations
Views: 330 Smart Vision Europe
SPSS Modeler tricks and tips - the graphboard node
 
03:57
The graphboard node – a data visualization gold mine
Views: 290 Smart Vision Europe
SPSS tips and tricks part 8
 
03:12
Creating Charts from Output – Use your statistical output to generate charts that are difficult to create using the standard graphics engine
Views: 437 Smart Vision Europe
An introduction to linear regression using SPSS part 1
 
08:14
With this two-part video, in less than 20 minutes, Jarlath Quinn illustrates: The fundamentals of correlation analysis and linear regression How to build and interpret linear regression models in SPSS How to apply a regression model to make predictions
Views: 142 Smart Vision Europe
SPSS Modeler tricks and tips - the simulation node
 
08:29
The simulation node – makes ‘what-if’ analysis easy
Views: 826 Smart Vision Europe
Getting started with Decision Trees webinar recording
 
44:48
This webinar shows you how how decision trees work and how they can be applied to solve a range of business problems, from predicting who is going to respond to your marketing campaign to revealing the key drivers of customer satisfaction.
Modeler tricks and tips - the 'split' role
 
04:51
The ‘split’ role – separate models for separate groups
Views: 280 Smart Vision Europe
SPSS Modeler tricks and tips - the generate menu
 
06:34
The Generate Menu – The super-quick way to create new fields
Views: 190 Smart Vision Europe
SPSS tips and tricks part 6
 
05:09
Creating New Table Looks – Create custom output that matches your ‘house’ style or your clients’ corporate branding
Views: 215 Smart Vision Europe
Part3  Scoring with an NPS predictive model
 
09:08
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. Using the results from part 2 of this series, Jarlath applies the model to the hundreds of guests who have not provided a recommendation rating so that the hotel chain can estimate whether they are Detractors, Passives or Promoters. At the end of the video we see how the solution was able to identify what the hotel management referred to as ‘Persuadables’ – these were high-spending guests whom the model predicted to be in the ‘Passive’ group. This related to a key objective in the case study whereby the Persuadables would be targeted with a special offer in order to convert them to ‘promoters’.
Views: 259 Smart Vision Europe
Predictive Operational Analytics Part2
 
15:20
Jarlath 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.
Views: 255 Smart Vision Europe
SPSS tips and tricks part 3
 
08:19
Visual Binning – The easiest and clearest method to create banded or grouped variables from numeric fields in any major stats package available
Views: 335 Smart Vision Europe
Unlocking IBM SPSS Statistics Part 3 of 3
 
20:52
Part three of a three part overview of basic IBM SPSS functionality designed to get you up and running as quickly as possible. In this video you will learn how to: 1. Summarise your data fields using simple descriptive statistics such as frequency counts, percentages, means, standard deviations and so on 2. Run different kinds of descriptive statistics for different kinds of data 3. Display your data visually via customisable tables 4. Examine the relationships between variables using crosstabs 5. Select different kinds of charts and graphs to represent your data most effectively 6. Export your output in other formats to distribute to people who don't have access to IBM SPSS 7. Use syntax to automate the process of running regular reports and analysis
Views: 316 Smart Vision Europe
Getting started with regression techniques in SPSS - webinar recording
 
57:09
This webinar focuses 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 30 minutes you will learn how easy it is to perform simple but powerful regression analysis using IBM SPSS software.
Introduction to PS Clementine Pro webinar recording
 
53:09
In this webinar you’ll learn about getting started with PS Clementine Pro – an end-to-end predictive analytics platform. Based on the popular IBM SPSS Modeler® system, PS Clementine Pro features a built-in analytical repository and scheduler. With all the talk about machine learning and data science at the moment, PS Clementine Pro represents one of the most powerful yet accessible analytics technologies available. If you’ve been thinking about how your organisation could benefit from predictive analytics then this session will show you how easy it is to get started with PS Clementine Pro. Enterprise level data science at a desktop price
Predictive Operational Analytics Part3
 
15:08
Using the results from the previous analysis stage, Jarlath shows how to build and assess a predictive model that identifies whether or not a part replacement will be required during a maintenance visit. We also see how to apply the model to new data so that predictions can be generated before the engineer is dispatched.
Views: 153 Smart Vision Europe
Automating your analyses - the best kept secret in SPSS webinar recording
 
56:44
This webinar will give an overview of the various ways in which you can save time and generally make your life easier by automating many aspects of your analysis in SPSS. During just one hour you will learn how you can save time and reduce errors by automating repetitive tasks within SPSS; how you can run these tasks interactively or at a scheduled time; how you can build more flexibility on top of your existing syntax e.g. processing multiple files; how you can automate interaction between SPSS and other tools such as MS Excel and MS PowerPoint; how you can add your own custom analyses into SPSS; and how you can build custom dialogs and applications.
Unlocking IBM SPSS Statistics Part 1 of 3
 
09:10
A three part overview of basic IBM SPSS functionality designed to get you up and running as quickly as possible. In part one you will learn how to: 1. Read data into SPSS from other sources such as Excel files 2. Format your data and tidying it up for effective analysis 3. Save time by using previously formatted files as templates for your new data file
Views: 214 Smart Vision Europe

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