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How to analyse and make sense of data - just for housing maintenance staff

An important topic – demystified and made easy


Staff working in maintenance are often asked to “analyse data” for key performance indicators.

But how exactly do you analyse data – and why is it so important that you do correctly?

This course for “accidental maintenance data analysts” tells you all you really need to know, in simple language with lots of relevant examples, in just one day.

As you probably know, there’s more to analysis than just running some computerized tests and basic cross tabulations. You must think about a host of things including:

Such tasks may seem mundane to the outsider, but how you deal with them and many others is utterly crucial to the success of your service. But don’t worry, you are not alone – and it isn’t an impossible task.

To start with, you are probably good at knowing what you want to analyse, and you probably know a thing or two about your service. But if when you get to do analysis you feel less confident it’s quite understandable - and it’s not for want of trying.

This course gives you practical advice which demystifies the “black box” of analysis and breaks it down into separate and manageable steps. It shows you how to think differently about analysis and use techniques you understand. It gives you the key principles and a structured approach to analysing data for standard and  statutory housing KPIs.  .

We'll show you: 

Your tutor

Your trainer for the day is Tony Smith, who has over 15 years experience of housing repairs and data analysis, both from a software supplier and user viewpoint.

Tony has worked with RSL’s such as Raglan and the Accord Group and is currently working with the Walsall Housing Group Assets & Repairs team to procure and integrate new repair, contractor and mobile systems.

 



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