Most people should be familiar with the old adage “Garbage In, Garbage Out” intended to remind people that if your input data is poor, then any outputs will also be poor.
There is a variant of this that cropped up in a discussion recently “Garbage In, Gospel Out”. So what can this mean and does it apply to your organisation?
A colleague of mine recently posted a very interesting blog titled Do you trust your data?
This led me to think about the issues from the perspective of the data i.e. if I am a data set can I trust the people who handle me to do the right thing with or to me………
Those days when you need to make an important decision can be trying at the best of times. The old saying “Garbage In, Garbage Out” is never more relevant (particularly if an AI tool is making automated decisions). (more…)
Those of you that know me well will be familiar with my comparisons between attitudes to data and attitudes to health and safety.
In this post I will expand on these themes and consider how modern organisations could be considered as having a ‘Victorian’ attitude to data quality.
The social housing sector in the UK continues to operate in challenging times – the combination of a continued shortage of housing, reduction in grants from government and ageing asset stocks means that there needs to be a consistent drive to ‘deliver more for less’. Housing associations need to ensure they are:
It’s not an easy ask, is it? With resources sometimes already at the bare minimum, it seems almost impossible to produce more, but if we take a step back and think about how we make decisions at work, then it can become a much clearer picture. (more…)
How you manage your data quality can have quite an impact on your organisation’s results.
If you think about taking your car for an MOT*, you’re taking it to be assessed against the criteria set out by the government to confirm it is legally roadworthy. It is a standard that you trust will ensure your safety in that vehicle.
Fingers crossed, it passes! (more…)
Many organisations use and manage data in ways that are less than ideal, however what does a data enabled organisation look like? This question was recently asked by one of our clients who wanted to find ways to visualise what their organisation could look like once they were managing and exploiting data effectively.
When describing data quality management, I often compare the parallels and contrasts with health and safety, however, in this blog post, I will compare the approaches to quality management with those of data management. (more…)
How much data is enough data? This is a discussion often had within organisations where there are two broad groups:
There is arguably a third group – the employees who are involved in a process who would prefer to get by without providing any data at all, if possible, since completing call logs, feedback forms etc. is time consuming.
So what is the correct position? (more…)
As a child, the arrival of the Easter holidays was always an exciting time for me. The Easter Egg hunts were particularly exciting. Before the hunt I usually had an idea of where the eggs could be hiding but was never 100% sure until I started looking for them and quickly realised it wasn’t going to be as straightforward as I initially thought!
This leads perfectly onto the fact that most organisations think they know exactly where their data is stored and quite often think that they can retrieve it as and when required, however it can be a very different story once they start searching for it. (more…)
As we approach the 12th day of Christmas and start to look to the year ahead, I wondered what a Chief Data Officer (CDO) might have put on their Christmas list? (more…)