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data quality

Human data errors

Data quality problems all, at their root, involve some form of human error. Whilst this is easy to say, it is perhaps harder to identify and resolve the causes of these human errors. In this blog post, I will explore

Julian Schwarzenbach 12th June 201914th June 2019 Blog No Comments Read more

Continuity – the new data quality dimension

When talking about data quality, it is usual to consider different aspects or ‘dimensions’ of data quality – validity, completeness, uniqueness, consistency, timeliness and accuracy. These six dimensions were agreed as the most relevant and representative of data quality as

Julian Schwarzenbach 21st May 2019 Blog 4 Comments Read more

Garbage In, Gospel Out

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

Julian Schwarzenbach 12th October 2018 Blog No Comments Read more

Does your data trust you?

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

Ian Rush 12th September 201814th November 2018 Blog 3 Comments Read more

Do you trust your data?

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).

Zoe Leadbeater 3rd September 201821st November 2018 Blog No Comments Read more

Does your organisation have a Victorian attitude to data quality?

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?

Julian Schwarzenbach 15th August 2018 Blog No Comments Read more

Do you need a data MOT?

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

Zoe Leadbeater 9th May 2018 Blog No Comments Read more

Why is data quality like making apple crumble?

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

Zoe Leadbeater 26th October 201713th April 2018 Blog No Comments Read more

The benefits of improving data quality

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.

Julian Schwarzenbach 17th February 20173rd February 2021 Blog No Comments Read more

“Data is an asset” White Paper now available

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

Julian Schwarzenbach 27th January 201727th January 2017 News No Comments Read more
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