Six questions to ask before you opt for open source software
It’s not uncommon for people to say to us that they don’t understand why they should pay for industry standard […]
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What’s the difference between business intelligence and predictive analytics?
It’s not uncommon to talk to potential clients who consider themselves to already be very much data-driven in the way
What’s the difference between business intelligence and predictive analytics? Read More »
How repeatable application templates will maximise the effectiveness of your first predictive analytics project
As we help our clients get up and running with the predictive analytics tools and skills they need, we see some
Predictive operational analytics part 1
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.
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Predictive operational analytics part 2 – SPSS Modeler demo
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.
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Predictive operational analytics part 3 – predictive part replacement
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.
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Predictive operational analytics part 4 – predicting task outcomes
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.
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Data science is everywhere, so why no data scientists to be seen?
Data science is everywhere at the moment. Nearly as everywhere as big data, but not quite. Books out there are
Data science is everywhere, so why no data scientists to be seen? Read More »
Predictive promoter part 1 – introducing predictive promoter scoring
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.
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Predictive promoter part 2 – building a net promoter score predictive model
In this video Jarlath shows how to automatically produce a model that predicts customer’s recommendation scores based upon transactional and operational data.
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Predictive promoter part 3 – scoring with a net promoter score model
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.
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Predictive promoter part 4 – text mining and conclusions
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.
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The A-Z of analytics with IBM SPSS Modeler
A is for Automation Why bother trying out loads of modelling techniques to see which one works best when Modeler
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What is a chi-squared test and when would you use it?
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 and why is it useful?
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 »
Supernode scripting in SPSS Modeler
This post describes how to use Python scripts to create and modify Modeler supernodes, and control the execution of the
Supernode scripting in SPSS Modeler Read More »
Four reasons why getting started with predictive analytics is simpler than you think
We spend a great deal of our time at Smart Vision helping our clients to establish the use of predictive
Four reasons why getting started with predictive analytics is simpler than you think Read More »
Understanding what drives your net promoter score – how data science can help
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 »
Data science projects – what skills do you need and where can you get them from?
Data science is on the rise. A couple of years back Harvard Business Review suggested that ‘data scientist’ is the
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What If Analysis using IBM SPSS Modeler Premium
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.
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Predicting asset failure using IBM SPSS Modeler
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.
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Text analytics using IBM SPSS Modeler Premium (part one)
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 »
Text analytics with IBM SPSS Modeler Premium (part two)
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 »
Text mining with IBM SPSS Modeler Premium (part three)
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 »
Affinity analysis made easy
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.
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Building a predictive model in SPSS Modeler
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.
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Unlocking IBM SPSS Statistics (part 3)
You will learn how to: Summarise your data fields using simple descriptive statistics such as frequency counts, percentages, means, standard
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Unlocking IBM SPSS Statistics (part two)
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 »
Unlocking IBM SPSS Statistics (part one)
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 »
10 reasons why your organisation is ready for prescriptive analytics
Prescriptive analytics is a relatively recent development beyond the broader disciplines of predictive analytics and data science. In this blog
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Nine tips for effective data mining
In my career I’ve seen many examples of successful and unsuccessful data mining projects. I’m often asked how clients can
Nine tips for effective data mining Read More »
A first look at IBM’s Watson Analytics
An analytical tool for the business user. It isn’t a new idea, more a nut that many of us have
A first look at IBM’s Watson Analytics Read More »
How can predictive analytics help retailers weather the economic storm?
In this blog post I’m going to suggest some ways in which predictive analytics can help retailers weather the economic
How can predictive analytics help retailers weather the economic storm? Read More »
The widening analytics skills gap – how much of a problem is it?
It’s well known that there’s a growing skills gap in the area of analytics. As organisations are waking up to
The widening analytics skills gap – how much of a problem is it? Read More »
Predictive analytics – five ways your business can benefit
When talking to companies who have yet to invest in predictive analytics I am often asked if I am sure
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What do your customers care about most? Using key driver analysis to find out.
After basic significance tests, T-tests, Z-tests and so on, key drivers analysis (KDA) is probably the second most popular statistically-based technique in market
What do your customers care about most? Using key driver analysis to find out. Read More »
What makes for good data visualisation?
Data visualisation is a hot topic at the moment. And with good reason: a picture paints a thousand words … and the
What makes for good data visualisation? Read More »
Writing a standalone Python script for Modeler
In my last post I gave a brief overview of the new Python-based scripting available in Modeler 16. In this
Writing a standalone Python script for Modeler Read More »
An overview of Python scripting in Modeler 16
Modeler scripts are used to automate the creation of streams, construction and configuration of nodes, stream execution and managing the
An overview of Python scripting in Modeler 16 Read More »
Is there a business case for the Chief Analytics Officer?
The past decade has seen huge growth in the practical use of data mining and analytics. Increasingly, analytics is being
Is there a business case for the Chief Analytics Officer? Read More »
Using predictive analytics and the tax inspector’s nose to spot fraud
Organisations hold information, lots of it. Often it’s all over the place and sometimes its not acknowledged as being useful
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Do you have to be a data scientist to do predictive analytics?
What is a data scientist? The predictive analytics field seems to love nothing more than giving a new name to an established
Do you have to be a data scientist to do predictive analytics? Read More »
Predictive analytics – what can you do with your results?
I talked in my last blog post about the confusion that often emerges around how much data is enough to
Predictive analytics – what can you do with your results? Read More »
Predictive analytics – how much data do you really need?
When I’m talking to prospective clients something I hear a lot is ‘but we don’t really have enough data to
Predictive analytics – how much data do you really need? Read More »
Predictive analytics: how small improvements can deliver big results
It never ceases to surprise me at the wide array of interesting and smart folks we have the privilege to
Predictive analytics: how small improvements can deliver big results Read More »
Why should charities invest in in-house predictive analytics?
Predictive analytics can really pay dividends for charities but I often find that such organisations are reluctant to invest in
Why should charities invest in in-house predictive analytics? Read More »
Five myths about big data
Big data is everywhere at the moment. There’s a lot of talk about it, much of which presents big data
Five myths about big data Read More »
Assessing the value of your customers
Moving beyond RFM analysis to create truly data-driven customer segments RFM stands for recency, frequency, monetary value and is a
Assessing the value of your customers Read More »
Do you really need special software for predictive analytics?
When I’m talking to prospective clients, one of the questions I’m regularly asked is why they should invest in expensive
Do you really need special software for predictive analytics? Read More »
Why not now? The barriers to adopting true predictive analytics.
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 »
