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To navigate this data-rich environment successfully, business analysts can turn to processmodeling as a powerful tool. Processmodeling helps them streamline their efforts, improve data quality, and make informed decisions throughout the data analytics project lifecycle.
Process In this section, list the activities needed to achieve the workshop’s purpose and outcome. Some activities include: active introductions/icebreakers topics to discuss brainstorming affinity mapping processmodeling prioritization root cause analysis functional decomposition This will determine your agenda.
These requirements can range from simple to highly complex, involving the creation of data warehouses and analytics reports. Proficiency in visualization tools such as PowerBI and Tableau, along with knowledge of Python libraries for visual charts, is essential.
I’ve been running a series of requirementgathering workshops recently which reminded me about the tools for business analyst workshop, the ‘physical stuff’ you need to have in place to.
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