When designing a data analytics process, which of the following should be the stakeholder's role in automating data extraction and validation?
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A. B. C. D.B.
When designing a data analytics process, it is important to involve stakeholders who can provide valuable input on the design, development, and implementation of the process. One important aspect of this is the role of stakeholders in automating data extraction and validation.
Automating data extraction and validation is a critical step in the data analytics process because it ensures that the data being used is accurate, complete, and reliable. The following are the possible roles of stakeholders in automating data extraction and validation:
A. Performing the business case analysis for the data analytics initiative: The stakeholders can perform a business case analysis to determine the value and feasibility of the data analytics initiative. This analysis can include evaluating the costs and benefits of automating data extraction and validation, as well as identifying the key performance indicators that the initiative will be measured against.
B. Indicating which data elements are necessary to make informed decisions: The stakeholders can provide input on which data elements are necessary to make informed decisions. This input can include identifying the data sources that need to be included, as well as specifying the format and structure of the data.
C. Designing the workflow necessary for the data analytics tool to evaluate the appropriate data: The stakeholders can design the workflow necessary for the data analytics tool to evaluate the appropriate data. This can include specifying the steps that need to be taken to extract, transform, and load the data into the analytics tool, as well as identifying the quality checks that need to be performed during the process.
D. Allocating the resources necessary to purchase the appropriate software packages: The stakeholders can allocate the resources necessary to purchase the appropriate software packages. This can include evaluating the different software options available, determining the cost and benefits of each option, and making a recommendation on which software to purchase.
In summary, 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.