June 24, 2023
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What’s a data taxonomy and why is it useful for understanding IT service performance?
How can I link meta data to produce insights and data visualisation? Is there a way to do this that will enable us to comprehend our reliance on various technologies and the organisations for which they supply services better?
Knowing what meta data to gather about their IT service stands out as an issue that customers encounter, according to work with customers over the past ten years. This is frequently due to the fact that, when it has been done, it frequently is technology-led and leaves out the business context. This inhibits IT’s capacity to present business cases for change and makes it challenging to explain in plain English how technology contributes to an organization’s goals. Additionally, it might be challenging to obtain any kind of engagement from non-technical leadership or management who grow disinterested in IT and hire consultants or develop their own solutions, leading to shadow IT.
What is a data taxonomy?
An analysis-enabling hierarchical structure and classification of data is known as a data taxonomy. Through the specification of the many components of the taxonomy, it also facilitates cross-discipline comprehension of a particular subject. It implies that individuals from many disciplines can engage with the same data model in various ways while still producing mutually beneficial insight.
So how is this useful when understanding IT service performance?
The complexity of IT services might result in highly compartmentalised departments and services. As a result, domain experts may end up being organised into IT “towers” that run and oversee the many IT services needed by an enterprise.
If these silos aren’t providing the value the business expects, they can establish data boundaries that make it difficult to form a knowledge of domains. Organisations may then find it challenging to link these problems and services to outside forces, such as restrictions imposed on the service by the organisation. This may subsequently result in transformational roadblocks or, worse yet, IT value producers that are not beneficial.
On the other hand, there is organisational terminology that IT may not fully understand, which can lead to misunderstandings and confusion when providing IT services or limit opportunities for more productive use of technology, such as data integration and reporting.
Therefore, it is crucial to have a consistent manner of discussing both IT services and the company we believe in. A taxonomy may bring all aspects of the organisation into alignment. Taxonomy can also find chances for change that otherwise could not have been discovered by recognising the connections between meta data within an organisation. Particularly when costs or revenue potential are modelled across this corporate taxonomy, it can generate extremely profitable financial savings or expansion opportunities.
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