A few years ago we did a series of blog posts on ISO 8000-150 which have been perennially popular. Well, since those posts were created ISO 8000-61 has been published which provides a richer and more comprehensive approach to data
It has been stated that the most common failure of a software project is caused by not capturing or understanding what the system is required to achieve. This is equally true of your information needs; have you truly captured your
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).
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
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?
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
Save the Planet: Recycle your rubbish Or Save your space: Recycle your data As we move from winter to the summer months’ people often think about cleaning their homes and gardens and this may include removing some of the clutter
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
I guess it depends on what you want; both would be acceptable as a piece of bread. However, the occasion and its intended use will be the likely leading deciding factors. For example, a roll may be more appropriate for
In the previous parts of this blog we considered how data quality can impact the success of software implementation projects. In Part 1 we discussed how expectations of benefits that a new system may deliver may be tarnished by existing