In Lab 1-1 (Data Analytics in Financial Accounting), you were required to use the Security and Exchange Commission's (SEC's) EDGAR data base of XBRL financial statements. XBRL is used to make: Multiple Choice store operational data into relational databases as a flat file digital assets for blockchain applications O automate the creation of footnotes in financial statements of publicly held companies C financial statement data machine-readable In Lab 1-1 (Data Analytics in Financial Accounting), you built a model to perform analysis to answer questions that you identified. The tool that you used was a Multiple Choice Google Sheet Word document Tableau worksheet Access database In Lab 2-2 (Use PivotTables to Denormalize and Analyze the Data), you worked with the Slainte dataset to determine potential areas for sales growth in the next year. Additionally, management has noticed that the company's margins aren't as high as they had budgeted and would like you to help identify some areas where they could improve their pricing, marketing, or strategy. Specifically, they would like to know how many of each product were sold. According to the textbook, all of the following were acceptable approaches that you could use to prepare the data for analysis except: Multiple Choice Use the Excel Internal Data Model Merging the data into a single table using Excel Query Editor Use SQL queries in Access