A logical data model is used to abstract a 'conceptual data model' by incorporating normalization rules to manage data integrity and relationships. It serves as an abstraction layer that defines the relationships between different data elements, entities, and attributes, focusing on the business concepts and rules that govern the data. This model helps in organizing data to reduce redundancy and improve data integrity, ensuring that the data structure is optimized for both business understanding and database design.

Explanation/Reference:
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The inputs required to prepare for elicitation are primarily focused on understanding the business needs and the stakeholder engagement approach. This involves recognizing the business requirements to define the scope and purpose of the elicitation activities and comprehending the stakeholders' collaboration and communication needs to plan the elicitation activity effectively.
References: The information is verified as per the Business Analysis Learning documents, specifically from the BABOK Guide and resources provided by IIBA12.
This may occur because as development progresses and prototypes are developed, customers are able to more clearly see problems with the original plan and make necessary course corrections.