If you have ever found that your company has engaged with Analytics initiatives that have not generated the level of success that was envisaged despite appearing to provide good insights, or that your attempts to start Analytics in your business is falling on deaf ears, then, quite likely, your Analytics initiatives are not properly aligned with your company’s Strategy.
In the 4th video of our series you will learn how to build stacked tables, format them and choose the results you want to send out to a web report.
In this video you will learn how to tailor your tables, run T-test & create bar charts to build better and more visual reports!
In June 2018, I was invited to speak at the UK Manufacturing and Supply Chain Conference in Coventry on the Subject of MRO Inventory Management. Based on the standing room only, it was obvious from the start that this is a growing pain for organisations, large and small.
In this video you will learn how to protect respondent's identity and boost the statistical power of your chi-square test with just a few clicks!
Best practices and key considerations before, during and after deploying an analytical initiative to maximise RoI and achieve a high impact on business and operations.
June 4, 2018
In the first video of the IBM SPSS Custom Tables series you will learn: How to build custom tables, editing and formatting your tables, and how to collapse categories. These features will help you build cleaner and more customised tables, faster!
I’ve often seen analytics described primarily by way of the technical complexity of the techniques. In this article, I present a better approach than trying to do something technically complicated just because it may (or may not) yield more business value.
Being able to effectively measure a RoI on the back of an Advanced Analytics project is paramount. In other words, any Advanced Analytics project that is not business outcome driven is worthless.
Throughout industries analytics has taken on an almost ubiquitous nature of late. There are increasing demands for data scientists, open source developers and an in-house capability for providing actionable insights through data. But, can an analytics capability be provided by a data scientist or developers alone?