Titlebook: Digital Business Analysis; Fredrik Milani Textbook 2019 Springer Nature Switzerland AG 2019 Business Analysis.Business Process Management.

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Requirement Elicitation Using Business Process Models,This chapter introduces a systematic method for eliciting requirements from business process models. This method includes structured set of questions and a template for documenting requirements. Furthermore, Robotic Process Automation and its relevance for business analysis is discussed.

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Vendor Assessment,In this chapter, the process of vendor assessment is described. The description includes defining needs and scope, selecting vendors, request for proposal, evaluation, and assessment of the vendor. Furthermore, the chapter also includes a discussion on benefits and disadvantages of Software as a Service (SaaS).

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Evaluate Solution,This chapter introduces evaluation of a solution as the final phase of the business analysis process. The evaluation covers measuring and analysing the performance of a solution, assessing the solution, continuous monitoring, and evaluation of digital solutions.

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Elicitation and Collaboration,interviews, and workshops are introduced. Furthermore, management of stakeholder collaboration is presented, and finally, the use of digital tools in elicitation and collaboration processes are discussed.

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Business Processes,, introduces the concepts of process architecture, process enumeration, and process hierarchy. In addition, the ideas of value creation processes, the data value chain, and value streams are discussed. Finally, the chapter concludes with presenting different approaches to modelling business processes with stakeholders.

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Data and Information Systems,ing data dictionary, modelling using entity relationship diagrams and data flow diagrams are presented. The modelling of systems interfaces and functions is also discussed. The discussion includes modelling digital aspects.

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Deliver Solution,of predictive and adaptive methods and the mindset required when working with agile approaches. This chapter also discusses methods and techniques commonly employed by agile methods such as impact mapping, mvp, backlog management, kano analysis, user stories. Finally, data driven product lifecycle management is introduced.