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		<title>LEAD Reference Content:Data Modelling Reference Content - Revision history</title>
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		<updated>2026-04-16T16:02:25Z</updated>
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		<id>https://www.cloud.enterpriseplus.tools/index.php?title=LEAD_Reference_Content:Data_Modelling_Reference_Content&amp;diff=9146&amp;oldid=prev</id>
		<title>Admin: Created page with &quot;{{DISPLAYTITLE:Data Modelling Reference Content}} = Data Modelling Reference Content = Numerous studies link project failure to aspects of information modelling, data architec...&quot;</title>
		<link rel="alternate" type="text/html" href="https://www.cloud.enterpriseplus.tools/index.php?title=LEAD_Reference_Content:Data_Modelling_Reference_Content&amp;diff=9146&amp;oldid=prev"/>
				<updated>2019-01-14T12:09:11Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot;{{DISPLAYTITLE:Data Modelling Reference Content}} = Data Modelling Reference Content = Numerous studies link project failure to aspects of information modelling, data architec...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{DISPLAYTITLE:Data Modelling Reference Content}}&lt;br /&gt;
= Data Modelling Reference Content =&lt;br /&gt;
Numerous studies link project failure to aspects of information modelling, data architecture failure, and poor data standardization and integration. Many of these challenges come from a poor information vision, stakeholders, and requirements not linked to the description of the system, software, and enterprise architectures, leading to weak information blueprinting and execution.&lt;br /&gt;
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This Data Reference Content provides a data ontology supported by data description,&lt;br /&gt;
specific data semantic relations, and correlations. It is based on a collection of best and leading practice about how to work with data within the enterprise modelling, enterprise engineering, and enterprise architecture disciplines. In following the international standards for architecture descriptions of systems and software of ISO/IEC/IEEE 42010, it organizes an architecture description into multiple architecture views.&lt;br /&gt;
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The LEAD Data Reference Content presents a new system and software engineering and architecture way of thinking, working, and modelling to work with data in a holistic manner and create a comprehensive and integrated view of the modern enterprise. It presents standardized definitions/terminology, a conceptual foundation, and a logical design for use in the architecture description of the enterprise, supported by meta objects, an ontology, and required semantics, relations, artefacts, and templates. These tools include providing the ability to link stakeholders needs, wants, requirements, concerns, and viewpoints, as well as architectural descriptions and an architecture framework to the applicable data objects.&lt;br /&gt;
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The Data Reference Content is an essential tool for any practitioner working with and around the data aspects of an enterprise. It provides an overview of the key data centric features of the enterprise and how the data assets relate to the various dimensions of the business e.g. to goal, process, measurement and information reporting, and to the data/information channels.&lt;br /&gt;
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The Reference Content therefore provides a standardized, repeatable way of analysing, appraising, approximating, assessing, and capturing data related objects to enable innovation and transformation.&lt;br /&gt;
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'''Documentat''': [[Media:LEADing Practice Data Modelling Reference Content-LEAD-ES20012BC.pdf|Download the Data Modelling Reference Content document]]&lt;br /&gt;
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[[Category: Data &amp;amp; Analytics]]&lt;/div&gt;</summary>
		<author><name>Admin</name></author>	</entry>

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