Access this on-demand introduction to IBM SPSS Statistics, one of the most widely used and approachable analytics platforms. With growing interest in data-driven decision making, many organisations are looking for practical ways to move beyond spreadsheets and begin using predictive techniques. This session shows how straightforward that first step can be.

Across three core areas – reading and formatting data, transforming and manipulating data and analysing results effectively – you will see how SPSS Statistics streamlines the entire analytical workflow. The session demonstrates how to import data from common sources, format it correctly, create filters and derived fields and produce clear, publication-quality tables. It also covers how to identify statistically significant differences between groups and how to interpret these results to support meaningful business decisions.

Designed for non-statisticians, this on-demand session provides a practical, accessible overview of what SPSS Statistics can do and how it can help your organisation move towards more advanced and predictive analysis using the data you already hold.

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