Over a period of time we have created a popular series of blog posts with a collective title of the Data Zoo which explore how people’s behaviours towards data can impact the quality and integrity of data. One of the
Rage in the data cage
Many of you will be familiar with our popular series of blog posts and White Paper on the Data Zoo which explores a number of generic behaviours people exhibit towards data. This post explores the effects on data behaviours when
All of our data is equal, some is more equal than others
To paraphrase George Orwell’s quotation from the novel ‘1984’ “All of our data is equal, some is more equal than others”. If all data is treated equally, how can we prioritise our efforts? Criticality is a method used in many
Normalisation of data deviance
The term ‘normalisation of deviance’ refers to situations where employees become accustomed to deviation from standards/designs in engineering and industrial situations without recognising that these can be precursor events to major incidents. This was a contributory factor in the loss
Data and the “Internet of Things”
The “Internet of Things” is an interesting concept that is slowly becoming a reality. The concept proposes that all physical objects are both able to connect to the internet and to communicate with each other. In this post we consider
The affordance of data and applications
I recently attended and presented at the PLM10 conference in Bremen. One of the other attendees, Professor Chris McMahon of Bath University, suggested that affordance was an additional quality attribute that should be considered when assessing data quality. I had