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
New IT System, Same Old Data Problems. Part 2 – A pig with lipstick on is still a pig
In Part 1 of this series of posts, we discussed how your existing business data could limit the benefits of a new information system and said there is likely to be work to do to mitigate those risks. No matter what system
GIS professionals – helping organisations to “Think Spatial”
I wanted to follow on from my post looking at GIS in the context of BIM projects by now taking a look at spatial data in the wider organisational information structure. To support both OPEX and CAPEX activities I want
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?
If data is an asset, what type of asset is it?
We are often reminded to treat data as an asset, in fact this is something I do quite regularly with my work frequently covering both data and asset management. Thinking of data as an asset helps people to think about data
ISO 8000:150 as a framework for data governance
In this sixth and last blog post about ISO 8000:150 we will look at the foundations that ISO 8000:150 provides for a data governance framework. For an overview of the standard, please see ISO 8000:150–A framework for Data Quality Management.
ISO 8000:150-Organisational approaches to Data Quality Management
In this fifth blog post about ISO 8000:150 we will look at the organisational approaches 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
The Decision Support Triangle
When considering which Decision Support tools are needed to meet organisational objectives, you need to consider far more than just the tool itself in order to ensure successful outcomes.
We’ve grown organically !
How data is structured is a common issue I have experienced in many organisations and has often been driven by individual end user requirements, organically growing to meet their specific business needs as they occur. The development of these structures
Mind the (data) gap!
Travellers on London Underground will be familiar with the term “Mind the Gap” which is both a visible, and an audio, warning to make sure that you do not become an unfortunate statistic on the railway – you may lose