I frequently use an analogy of comparing how your organisation ‘does data’ as a machine, but have recently started using a nautical analogy as an extension of this.
Which of the following typifies how your organisation delivers data related activities?
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Do you understand your business processes?
Do your processes degrade your data?
How well do you understand your business processes?
Each individual process may be well documented, implemented and assured and even delivering great business performance, however, can these same processes be reducing your data quality?
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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.
In a recent post I considered what is needed to understand data quality from an organisational perspective, however, what are the data quality implications when we have to use data across organisations?
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A good way to understand the impact of poor data practices on your organisation is to imagine the approach to data gathering, storage and exploitation as a machine – a data machine.
Read on to find out more…
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In my previous blogs I introduced the Data Management Maturity Staircase (above) and then the various maturity steps required to climb the staircase. In this blog we shall be looking at ways to make the changes.
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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….
(more…)In my last blog I introduced the Data Management Maturity Staircase (above). In this blog I shall look at the steps that make up the staircase.
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’.
Julian Schwarzenbach recently appeared on the 30th episode of The Data Strategy Show. The conversation with Samir Sharma covered a wide range of topics including:
