Some key issues to consider when planning an audit data analytics application are:

1) What financial statement items, accounts or disclosures and related assertions are being audited?

2) What is the overall purpose of the audit data analytics application and how will it contribute to the balance of the audit? For example, is audit data analytics being used as a risk assessment procedure or as a substantive test?

3) What audit data analytics tool is best suited for the audit purpose? For example, which techniques, tools, graphics, tables or other analytical techniques should be used.

4) All these answer choices are correct.