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 – often referred to as a ‘spring clean’. Do you need to do something similar for your data? (more…)
Typically, if we can improve the quality of data, then we will have better information to support decision making. Better decisions will lead to better outcomes/results and will in turn be likely to have better quality data arising from them. As the diagram illustrates, this becomes a virtuous circle where better data ultimately leads to better business results.
For most medium and large organisations, the effective management of data and systems can present significant challenges. Organisations may be unaware that their poor data and bad practices leads to inefficiencies and problems and are, therefore, an avoidable cost to an organisation. Data can, in many circumstances, outlive the software that stores it and the processes and users that created it.
To paraphrase a quality management guru, Philip Crosby:
“Data quality is free. It’s not a gift, but it’s free. What costs money are the unquality things – all the actions that involve not getting data quality right the first time and all the actions to correct these data quality issues”
So, what are the benefits of improving data quality? (more…)
For infrastructure, transport and utilities organisations, the asset inventory is the central list of all the assets of interest to the organisation. This is a critical enabler for most asset management activities. If an asset does not appear in an organisation’s asset inventory, then it is highly likely that it is not receiving the correct maintenance. This in turn will ultimately lead to asset and service failures, potentially putting customers and employees at risk. In the worst cases, this may affect the survivability of the organisation.
So, how does this problem arise? How can it be prevented?
Since we have been running our data quality course for some time, we decided that it was time for a full update and refresh of the course. This has now been completed and we have just ‘road-tested’ the new exercises with the help of D-Coded Insights. Adrianne Carter from D-Coded stated that “the way the exercises build up is a really good way to help ensure that delegates understand the content of the course”.
This one-day course is aimed at people responsible for data management within an organisation, data stewards and data analysts. The course covers:
The nature of enterprise data
Explores why data is difficult to manage and the generic types of data quality problem
Explains the key elements of ISO 8000 Part 150 and related data management techniques
Uses our unique Data Zoo concept to explore attitudes towards data
Provides tools and techniques to implement a coherent data governance approach
The course enables delegates to develop pragmatic, eﬀective and sustainable approaches to data quality management and data governance that can expand as organisational capabilities improve
This year’s Institute of Asset Management lecture was given by cognitive psychologist and specialist in leadership performance, behavioural change and culture, Javier Bajer. Javier explained in a very engaging manner three fallacies about change and I thought the final one makes a good trigger for this blog post, namely, the view that changing behaviours and culture takes time, particularly if the beliefs that generate behaviours are not changed. (more…)
The safety of an organisation’s people is always of paramount importance. A number of industries place people in environments that carry risk in their everyday jobs. But the importance of data in the drive towards enhanced safety is often overlooked and many professionals can struggle understanding the relationship between data, safety and business performance. It might be difficult to get real engagement from all stakeholders, without a clear line of sight describing the relationship between data, data-driven safety planning and, therefore, data-driven performance enhancement. (more…)
I guess it depends on what you want; both would be acceptable as a piece of bread. However, the occasion and its intended use will be the likely leading deciding factors. For example, a roll may be more appropriate for a dinner party, a bloomer with a bowl of soup, a sliced loaf for a sandwich, etc. Unless you specify ‘what’ you require from your delivery or your shopper then they may bring to you the wrong kind, and spoil the occasion or the experience you were hoping for. The same is true for data…. (more…)
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 analysis. With the rare exception of a ‘green field’ situation, all technology developments will need to consider legacy data. So, can you do effective Business Analysis without Data Analysis?