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
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
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).
In the Victorian era, accident rates were far higher than today yet at the time were considered regrettable, but just the way things are. How about modern attitudes to data?
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
Is it possible to obtain the same great result if you use poor quality ingredients? Being a keen cook, it struck me that data quality is the same as a recipe. If you use inferior quality ingredients, you won’t
Typically, if we can improve the quality of data, then we will have better information to support decision making. Better decisions will lead to better outcomes/results and will in turn be likely to have better quality data arising from them.
You may have heard the term “treat data like an asset”, but have wondered what this really means. We have now written a free White Paper titled “Data is an asset” to explain: The nature of the data asset The
For infrastructure, transport and utilities organisations, the asset inventory is the central list of all the assets of interest to the organisation. This is a critical enabler for most asset management activities. If an asset does not appear in an
Since we have been running our data quality course for some time, we decided that it was time for a full update and refresh of the course. This has now been completed and we have just ‘road-tested’ the new exercises