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
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 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?
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
How much data is enough data? This is a discussion often had within organisations where there are two broad groups: Gather only the data you know that you need – the minimalists Gather all the data you possibly can –
We are pleased to announce the launch of our virtual Chief Data Officer service as another way to help clients improve how they manage and exploit their data. The service is targeted at organisations who may be reliant on effective data
‘Twas the night before Christmas, and down came the snow So much came down, that it was not low
Data has been a hot topic for organisations for some time. Now that volumes of data are increasing exponentially, the importance of good data to allow organisations to achieve their objectives is also increasing rapidly. So, how to turn data
We always keeps our eyes and ears open for those people who understand how powerful data can be for organisations, when managed properly, and who do not get swayed by ‘sexy’ software when the input data cannot be relied upon.
DPA are pleased to announce that we are supporting CRA in the delivery of a ‘GDPR accelerator service’ – see here for more details. DPA will be providing support in data discovery, data quality analysis and data profiling in order to