Concept Modelling for Business Analysts door Alec Sharp

Concept Modelling for Business Analysts

Whether you call it a conceptual data model, a domain model, a business object model, or even a “thing model,” the concept model is seeing a worldwide resurgence of interest. Why? Because a concept model is a fundamental technique for improving communication among stakeholders in any sort of initiative. Sadly, that communication often gets lost – in the clouds, in the weeds, or in chasing the latest bright and shiny object. Having experienced this, Business Analysts everywhere are realizing Concept Modelling is a powerful addition to their BA toolkit. This session will even show how a concept model can be used to easily identify use cases, user stories, services, and other functional requirements. 

Realizing the value of concept modelling is also, surprisingly, taking hold in the data community. “Surprisingly” because many data practitioners had seen concept modelling as an “old school” technique. Not anymore! In the past few years, data professionals who have seen their big data, data science/AI, data lake, data mesh, data fabric, data lakehouse, etc. efforts fail to deliver expected benefits realise it is because they are not based on a shared view of the enterprise and the things it cares about. That’s where concept modelling helps. Data management/governance teams are (or should be!) taking advantage of the current support for Concept Modelling. After all, we can’t manage what hasn’t been modelled!

The Agile community is especially seeing the need for concept modelling. Because Agile is now the default approach, even on enterprise-scale initiatives, Agile teams need more than some user stories on Post-its in their backlog. Concept modelling is being embraced as an essential foundation on which to envision and develop solutions. In all these cases, the key is to see a concept model as a description of a business, not a technical description of a database schema. 

This workshop introduces concept modelling from a non-technical perspective, provides tips and guidelines for the analyst, and explores entity-relationship modelling at conceptual and logical levels using techniques that maximise client engagement and understanding. We’ll also look at techniques for facilitating concept modelling sessions (virtually and in-person), applying concept modelling within other disciplines (e.g., process change or business analysis,) and moving into more complex modelling situations. 

Drawing on over forty years of successful consulting and modelling, on projects of every size and type, this session provides proven techniques backed up with current, real-life examples.

Topics include:

• The essence of concept modelling and essential guidelines for avoiding common pitfalls
• Methods for engaging our business clients in conceptual modelling without them realizing it
• Applying an easy, language-oriented approach to initiating development of a concept model
• Why bottom-up techniques often work best
• “Use your words!” – how definitions and assertions improve concept models
• How to quickly develop useful entity definitions while avoiding conflict
• Why a data model needs a sense of direction
• The four most common patterns in data modelling, and the four most common errors in specifying entities
• Making the transition from conceptual to logical using the world’s simplest guide to normalisation
• Understand “the four Ds of data modelling” – definition, dependency, demonstration, and detail
• Tips for conducting a concept model/data model review presentation
• Critical distinctions among conceptual, logical, and physical models
• Using concept models to discover use cases, business events, and other requirements
• Interesting techniques to discover and meet additional requirements
• How concept models help in package implementations, process change, and Agile development

Learning Objectives:

• Understand the essential components of a concept model - things (entities) facts about things (relationships and attributes) and rules
• Use entity-relationship modelling to depict facts and rules about business entities at different levels of detail and perspectives, specifically conceptual (overview) and logical (detailed) models
• Apply a variety of techniques that support the active participation and engagement of business professionals and subject matter experts
• Develop conceptual and logical models quickly using repeatable and Agile methods
• Draw an Entity-Relationship Diagram (ERD) for maximum readability
• Read a concept model/data model, and communicate with specialists using the appropriate terminology.

Who is it for?

Roles that are currently benefitting from this workshop include:

• Specialist data modellers, data architects, data analysts, and DBAs who wish to hone their skills.
• Business analysts, business architects, enterprise architects, and application architects
• Application / solution developers (especially on Agile teams)
• Business professionals, Subject Matter Experts, and Project / Programme Managers involved in the analysis, design, and development (or selection and configuration) of a system.
• BI (Business Intelligence) professionals, DW (Data Warehouse) professionals, big data specialists, data scientists, analytics specialists, and data lake implementers.

TRAINER

Alec Sharp, senior consultant bij Clariteq Systems Consulting, heeft diepgaande expertise in een zeldzame combinatie van werkgebieden – gespreksleiding, strategie ontwikkeling, specificatie van applicatie-requirements, datamodellering en, uiteraard, business proces analyse en herontwerp, van verhoogde verbetering door zakelijke verandering. Zijn 40+ jaar ervaring in hands-on advies, praktische benaderingen en wereldwijde reputatie in modelgedreven methodieken hebben hem gemaakt tot een veelgevraagd adviseur in uiteenlopende locaties als Ierland, Illinois en India.

Hij is tevens een populaire spreker op conferenties gerelateerd aan Business Process Management, Business Analyse en Data Management, waar hij inhoud en inzicht mixt met lichtvoetigheid en humor. Tot zijn vele hooggewaardeerde presentaties behoren “The Lost Art of Conceptual Modelling,” “The Human Side of Data Modelling,” “Getting Traction for ‘Process’ – What the Experts Forget,” “Mind the Gap! – Integrating Process, Data, and Requirements Modelling” en “Adventures in Reverse-Engineering – What You’ve Got and Why You Don’t Like It.”

Alec Sharp is ontvanger van de prestigieuze DAMA Professional Achievement Award, een internationale prijs die eens per jaar wordt gereikt aan de professional die het meest heeft bijgedragen aan het Data Management vakgebied.

Alec schreef letterlijk hét boek over business process modeling – hij is auteur van de tweede editie van “Workflow Modeling: Tools for Process Improvement and Application Development”. Het boek is populair bij professionals op het gebied van procesverbetering, business analisten en consultants, is aanhoudend bestseller op het gebied van business process modelleren en wordt veel gebruikt als MBA-leerboek.

Alec’s educatieve workshops worden virtueel en in-person uitgevoerd bij vele bekende organisaties. Deze omvatten Business-Oriented Data Modelling, Business-Oriented Data Modelling – Masterclass, Working With Business Processes, Advanced Business Process Techniques, alsmede Model-Driven Business Analysis Techniques. Zijn lessen zijn praktisch, energiek en leuk, en krijgen steevast “uitstekende” beoordelingen.