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Business analysis is the practice of identifying and organizing business needs, creating solutions to support those needs, and evaluating outcomes for improvement. It can involve analyzing a company's existing processes and systems in order to identify areas for improvement, as well as developing new strategies that will help streamline operations. Business analysis involves activities such as creating models or simulations of proposed changes and offering guidance on potential risks associated with proposed changes.
For example, if a company is looking to improve its customer service process, a business analyst may analyze current customer feedback data in order to develop ideas for process improvements.
A business analyst is responsible for examining an organization's processes, policies, and strategies to identify areas of improvement. They are also responsible for providing information regarding the operational process and making suggestions on how it can be improved. They analyze data and trends and research potential solutions to problems.
A business analyst needs to have a wide range of skills in order to be successful. They need to be able to interpret data, analyze trends and use their technical expertise to develop solutions. They should also possess strong communication skills, both verbal and written so that they can effectively collaborate with stakeholders and understand customer needs.
Business analysis is a discipline that focuses on understanding how businesses operate, defining the requirements for change, and driving business transformation. To carry out these tasks, analysts often use various tools and techniques such as process modeling, gap analysis, requirements gathering, creating business cases, stakeholder impact analysis, and more.
The answer to this question is not a straightforward one. Business analysts do not necessarily require coding skills, as the primary focus of their work is to understand and document business requirements and processes. However, having basic knowledge of coding languages can be beneficial in certain situations, such as when working with data or automation projects.