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November 2020

Planning successful analytics projects

26 November 2020 @ 3:00 pm - 4:00 pm

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…

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March 2021

Getting started with SPSS Syntax

18 March 2021 @ 1:00 pm - 2:00 pm

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…

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May 2021

Planning successful analytics projects

20 May 2021 @ 10:00 am - 11:00 am

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…

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Harnessing unstructured data with text mining in IBM SPSS Modeler

20 May 2021 @ 1:00 pm - 2:00 pm
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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…

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Evaluating and deploying predictive models

20 May 2021 @ 3:00 pm - 4:00 pm

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.…

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October 2021

Forecasting made easy with SPSS Statistics

29 October 2021 @ 3:00 pm - 4:00 pm

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…

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November 2021

Planning successful analytics projects

24 November 2021 @ 1:00 pm - 2:00 pm

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…

Find out more »

February 2022

Step beyond spreadsheets with IBM SPSS Statistics

3 February 2022 @ 3:00 pm - 4:00 pm

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…

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June 2022

Automated time series modelling with DataRobot

7 June 2022 @ 10:00 am - 11:00 am

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.

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Getting started with regression techniques in SPSS

7 June 2022 @ 1:00 pm - 2:00 pm

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…

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