What should the analyst do to ensure data from the Invoices table is effectively associated with existing models?

The analyst should consider splitting relevant fields and setting associations to effectively connect data from the Invoices table with existing models. This approach allows the analyst to define clear relationships between the different tables in the data model. By splitting fields, such as separating customer names, transaction dates, or product identifiers, the analyst can create distinct keys that establish connections. This improves the data structure and ensures that the Qlik Sense application can accurately interpret the relationships and aggregates between related datasets.

Associations that are made in this way enhance the overall integrity and usability of the data model, allowing for more nuanced queries and analysis. Effectively set associations help ensure that the data from various tables can interconnect seamlessly, which is vital for accurate reporting and analysis in business intelligence applications like Qlik Sense.

Other options, while they have their merits, do not address the core requirement of establishing effective associations as directly and comprehensively as splitting relevant fields and setting associations does.