Staff can often be very resourceful in making poor systems and processes work and to overcome data problems within an organisation. If people are based in a single office then they can call out questions like:
“Do you remember who did…”
“How did we solve….”
“Where is the information on….”
And so on
I used to give a similar answer about why many smaller organisations were less affected by poor data quality than they would be if they were larger – namely, being close to colleagues and able to verbally resolve issues acts as a ‘sticking plaster’ to overcome data problems.
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 quality management.
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 data requirements to meet your information needs and organisational objectives?
You may be wondering why you should bother improving your data quality or what the benefits of this activity may be. You may be wondering how to secure suitable resources and funding to deliver improvements to data quality. Read on to discover why ‘data quality is free’.
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 part of work led by DAMA UK that I contributed to in 2013 and published in this White Paper.
Some recent work and discussions suggest that there may be another dimension to consider – continuity. This blog post explores things in a bit more detail.