Imagine the scene, you are a newly appointed/ promoted Data Governance Manager or Data Manager with a remit of ‘sorting out the data mess‘. Colleagues are impatient for results and some are starting to blame you for the poor quality data. This does not feel right to you, but you are unsure how to keep motivated through these daunting challenges and the opinions of colleagues.
A number of our clients have been in similar positions – we have helped them in part by explaining that their role and challenges are similar to those of buying an old house to renovate.
Our scheduled training courses have been updated to offer a range of live, virtual and on-demand courses throughout autumn 2021. We are offering two free taster courses on 14th and 15th September to help you understand whether our courses may be for you. Click on the link below for more information.
An organisation that works in isolation and does not share data with other organisations is probably rare. Most organisations will collaborate with other organisations to some degree and will be providing data as part of this collaboration. So, what factors need are relevant when considering data quality across organisations?
When building a machine or structure, you will usually be assembling components supplied by many manufacturers. For this to work, the interfaces between components and items should meet agreed requirements. For example, if one organisation decided to make bolts with a different type of thread, it would be difficult (or perhaps impossible) to join different components together.
If you are responsible for managing a portfolio of assets, then your team need AD4s to help them. What does the acronym AD4 mean? Well, it stands for Asset Data Dictionary Definition Document – quite a mouthful, hence the shorter term AD4. What is an AD4? Well, read on….