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Ontologies for Business Analysis 

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Ontologies for Business Analysis
 at 
UDEMY 
Overview

An introduction to knowledge-based methods for transforming your business into the intelligent enterprise

Duration

2 hours

Total fee

399

Mode of learning

Online

Credential

Certificate

Ontologies for Business Analysis
 at 
UDEMY 
Highlights

  • 30-Day Money-Back Guarantee
  • Certificate of completion
  • Full lifetime access
  • Learn from 5 downloadable resources and 10 articles
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Details Icon

Ontologies for Business Analysis
 at 
UDEMY 
Course details

What are the course deliverables?
  • Conceptualise ontologies in the context of business analysis, with a focus on their purpose, importance and the underlying business case for their application
  • Understand how to define 'blueprints' for organising enterprise domain knowledge by using the building blocks of ontologies and how they are arranged
  • Appreciate the importance of rigour in business modelling, by capturing formal semantics (meaning) and logical axioms for defining business rules
  • Become familiar with the Web Ontology Language (OWL) for building structures that have inherently complex relationships
More about this course
  • The practice of Business Analysis revolves around the formation, transformation and finalisation of requirements to recommend suitable solutions to support enterprise change programmes. Practitioners working in the field of business analysis apply a wide range of modelling tools to capture the various perspectives of the enterprise, for example, business process perspective, data flow perspective, functional perspective, static structure perspective, and more. These tools aid in decision support and are especially useful in the effort towards the transformation of a business into the "intelligent enterprise", in other words, one which is to some extent "self-describing" and able to adapt to organisational change.However, a fundamental piece remains missing from the puzzle. Achieving this capability requires us to think beyond the idea of simply using the current mainstream modelling tools. Instead, we need to take into account methods that provide a basis for sharing meaning at both human and computational level, and that are geared to capturing the semantics (i.e. the meaning) of entities that describe our enterprise perspectives. This is where the concept of ontologies come in. Ontologies are representations that provide a basis for sharing meaning at human and computational level, and are an invaluable addition to any business analyst's toolkit.Ontologies help you formally represent domain knowledge that is accurate and reusable, which aligns very well with your reuse strategy for enterprise knowledge. Ontologies are platform-agnostic knowledge models and building them does not require you to have any extensive technical or software engineering skills. This means that as business analyst, you are able to produce the blueprints for any system or software design project, allowing you to more rapidly prototype information structures and test them out before passing your specifications over to software engineers to implement. Consequently, ontology modelling empowers business analysts as information and knowledge architects.In addition, ontologies are extremely relevant to the area of information systems interoperability, providing you with the mechanisms to drive semantic data exchange and federation across multiple information sources and repositories. They can also be extended into structured knowledge bases for constantly-evolving linked data that have complex relationships and are held in dynamic schemas, thereby responding very well to changes in organisational knowledge. The thing is - that's just a glimpse of some of the useful benefits of ontologies from a business analysis standpoint - ontologies, in practice, do much more than that!This course is intended to be a game changer, focusing on providing a comprehensive introduction to ontologies in the context of business analysis application, in order to encourage the adoption of the approach. The material provided in the course covers relevant background information to get comfortable with the concepts being explained, the justifications for applying ontologies in business analysis practice, walkthrough examples, and other important details that are pertinent for you to be able to hit the ground running with using ontologies within your own business analysis pipeline. Become a pioneer of applied ontology in the field of business analysis and lead the way to telling your success story!
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Ontologies for Business Analysis
 at 
UDEMY 
Curriculum

Introduction

Welcome to the course!

Course structure and outcomes

Checkpoint: Will this course meet my needs?

Summary

Background to ontology modelling

Ontology at a glance

Structure of an ontology

Ontology representation

Ontology from a logic-based perspective

Summary

Section 2

Anatomy of a machine-interpretable ontology

Overview

Getting started

Class hierarchy

Property hierarchy

Class descriptions

Individuals

Ontology visualisation

Summary

Benefits of ontologies in Business Analysis

Case for ontologies in business analysis: Part 1

Case for ontologies in business analysis: Part 2

Ontologies and interoperability

MDA, MDI, SOA and ontologies

[Audio] Cost-benefit implications of ontology development

Example applications of ontologies

Summary

Ontology development and deployment

Ontology-based business processes and rules

Ontology-driven systems

Ontology-based system development

Ontology mapping

Ontology reuse

Summary

Section 5

Course wrap-up

Further discussions

Final words

Course slides

Acknowledgements and more

Bonus lecture

Faculty Icon

Ontologies for Business Analysis
 at 
UDEMY 
Faculty details

Tish Chungoora
Designation : Knowledge Graph Consultant | Ph.D. | CSPO | BCS Certified

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