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:
- When should you begin your data analysis?
- Do particular KPI‘s influence how we analyse the data?
- What type of data should I be collecting?
- What types of analyses do I need to run?
- How will I make sense of the data?
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:
- Where to collect data from
- How to store, manage and use your data effectively
- When to start doing your analysis
- How to delve deeper into the analysis to take it beyond describing the data set including looking at cross tabulations and correlations
- How to use graphics to undertake analysis and present your findings
- Managing your data set and integrating it with existing systems
- Drawing conclusions from analysis and get meaning from data
- Bringing together your analysis to make conclusions and decisions
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.