How much data is enough data? This is a discussion often had within organisations where there are two broad groups: Gather only the data you know that you need – the minimalists Gather all the data you possibly can –
The Big Easter Data Hunt
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
Does your data need spring cleaning?
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
Can you do effective Business Analysis without Data Analysis?
A colleague and I attended a well respected Business Analysis conference this week. One of things that we both noticed was that, whilst there was much talk of lean/agile approaches and customer engagement, there was precious little talk about data
New IT System, Same old Data Problems. Part 1 – The lure of the shiny new toy
A new business information system, or decision support tool, is a big investment, but if you are considering buying a new system which promises to improve organisational effectiveness and efficiency, how confident are you that it will achieve these objectives if your underlying business data
The journey to wisdom from data
It will be no surprise that data on its own has little value, it’s the meaning of that data that brings any kind of benefit. But what value does it bring us?
ISO 8000:150–Data Operations
In this second blog post about ISO 8000:150 we will look at the Data Operations processes that form part of the overall data quality management approach defined in this standard. For an overview of the standard, please see ISO 8000:150–A
ISO 8000-150 – A framework for Data Quality Management
I’m not sure about you, but the prospect of reading an ISO standard does not always fill me with enthusiasm, however, the recent ISO 8000-150 presents an interesting read (at least for those interested in data management). In this blog