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My thoughts - Project is at designing phase.. Option D - Business case analysis happens at feasibility or project initiation phase. Option B - relates to metrics to be measured which also happens before design phase.
I think the answer B is correct. Stakeholders do not perform, allocate or Design. The best thing they can do is indicate what do they want for decisions.
Step B is the step to take after designing the data analysis process. The step to be taken before that is to identify the problem areas of the business. Therefore, the answer is D.
I reconsider my answer and select answer:C for the following reason.
Designing the workflow necessary for the data analytics tool to evaluate the appropriate data: Stakeholders are responsible for designing the workflow that outlines how the data analytics tool will evaluate the data. This includes determining the steps involved in data extraction, validation, transformation, analysis, and reporting. Designing an efficient workflow ensures that the data analytics tool can effectively evaluate the appropriate data and generate meaningful insights.
the stakeholders play a critical role in automating data extraction and validation during the data analytics process. They can perform a business case analysis, indicate which data elements are necessary, design the workflow, and allocate the resources necessary to purchase the appropriate software packages.
D. Performing the business case analysis for the data analytics initiative:
This is an important role for stakeholders who are responsible for justifying and aligning the data analytics initiative with the organization's strategic goals. Executives and business leaders often perform the business case analysis.
So, in the context of automating data extraction and validation:
Option B ("Indicating which data elements are necessary to make informed decisions") is directly related to defining the data requirements, which is essential for automation.
Option C ("Designing the workflow necessary for the data analytics tool to evaluate the appropriate data") is relevant for the technical implementation of automation.
Option A ("Allocating the resources necessary to purchase the appropriate software packages") and Option D ("Performing the business case analysis for the data analytics initiative") are important but may not be directly tied to the automation of data extraction and validation.
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