InfoTechTarget and Informa Tech's Digital Businesses Combine.

Together, we power an unparalleled network of 220+ online properties covering 10,000+ granular topics, serving an audience of 50+ million professionals with original, objective content from trusted sources. We help you gain critical insights and make more informed decisions across your business priorities.

Business Capabilities: Explanation, Modelling, Challenges & Examples

Presented by

Patrick Schober, LeanIX

About this talk

If your company wants to create a Business Capability Model, check out what Patrick Schober, Director of Professional Services at LeanIX says concerning this topic. Business Capability is the expression or the articulation of the capacity, materials, and expertise an organization needs in order to perform core functions. Enterprise Architects use Business Capabilities to illustrate the over-arching needs of the business to better strategize IT solutions that meet those business needs. As a tool, Business Capability models enable the discussion of strategic invest or divest, and they can be served as the structuring element to uncover redundancies in IT. It allows companies to see what a business does to reach their goals.
SAP LeanIX

SAP LeanIX

21620 subscribers175 talks
SAP LeanIX - Enterprise Architecture
SAP LeanIX’s Continuous Transformation Platform® offers SaaS solutions to help IT architects, IT asset managers, business leaders, and DevOps teams achieve transparency and control over their enterprise architecture, SaaS, and microservices landscapes. In a great workplace, employees are more engaged by having information in an understandable context and by feeling confident that decisions are made based on facts. SAP LeanIX is the single source of truth for Corporate IT and Product IT to create transparency of the present and derive actions, shaping the future in an understandable business context. We are offering Software-as-a-Service (SaaS) for managing Enterprise Architecture and multi-cloud environments to enable organizations to take faster, data-driven decisions in their IT.
Related topics