In this series of Blog posts I shall be introducing the ‘data management staircase’, what it means and the necessary journey over time to climb the steps to becoming ‘Excellent’.
Why asset data is more challenging than ‘normal data’?
Increasingly, organisations are recognising the importance of good data management and how it can improve organisational performance. Managing data across large (and small) enterprises can be challenging, there are a range of standards and approaches that provide guidance applicable to
Is ‘IT’ or ‘the business’ responsible for data quality?
Most organisations have problems with their data – not enough, too much, not good enough, missing, duplicated, inconsistent etc. Many managers and employees just want someone to ‘sort it all out’, but who is responsible? Often there is a view
Data quality assessment from an organisational perspective
Data quality assessments can provide large amounts of useful information. However, to gain a complete perspective on organisational data quality, it is essential to consider three key perspectives: The data itself – entries in databases and spreadsheets The requirements for
The value of data
It is time to consider ‘the value of data’ – a number of recent conversations (such as with Stuart Ravens and Martin Paver), an excellent recent article on Highways England’s data valuation and related events such as the emergence of a proposed
Symptoms of data quality problems
A recent conversation about a large organisation highlighted an interesting question – How do you quickly and easily know that you have got a data quality problem? Clearly, you may have a data manager/ data team who are stating that data quality
Two new data standards for all organisations
In February 2020, BSI released two new data related standards that should be considered by all organisations: BS 10102-1:2020 – Big data. Guidance on data-driven organizations BS 10102-2:2020 – Big data. Guidance on data-intensive projects Although the titles state ‘Big data’, this only
Start well….
There are two sayings that we will all have heard at some time: Start with the end in mind Start like you mean to go on A client of ours demonstrates why these two sayings are important from a data
Has lockdown exposed your data weaknesses?
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
ISO 8000-61 – the data quality management standard
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