Pivot tables sort data by specific criteria, allowing for easier data analysis and presentation in multiple formats. They automate the process of aggregating sales data and can save hours of manual analysis work. Pivot queries are available in advanced database tools and can be used as a raw reporting tool. The data returned can be archived for later review.
There are many ways to present data in a computer program. Pivot table is designed to sort data by specific criteria. This allows the data to be presented and organized in an aggregated way so that it can be used for data analysis. A PivotTable summarizes and groups data based on specific data items. This allows you to present data in multiple formats, making it easier to determine trends and inconsistencies.
A pivot table is a great tool for presenting a company’s quarterly earnings. Reporting sales data by dates and regions typically requires manual spreadsheets that aggregate a company’s sales data based on specific criteria. Using the pivot technique automates this spreadsheet process and allows you to rearrange your data very quickly.
Most spreadsheet automation software programs provide pivot table templates. This allows a data analyst to easily answer questions about the health and performance of a business. It allows an analyst to group and organize spreadsheet data into separate data fields, which can save many hours of manual analysis work.
Using a PivotTable in Microsoft Excel® provides a quick method of aggregating data. This table view can be used to summarize the sales of specific business units. Using the table can save hours of manual spreadsheet analysis because the table can be created and presented with just a few clicks on the computer keyboard.
Many advanced database tools provide pivot queries as a quick way to aggregate and group data items from a database. The pivot query is available as a simple query statement, allowing you to return data in tabular format. This type of query can be used by the business as a raw reporting tool. The data returned from a PivotTable can be archived and kept for later review. This allows auditors a method of reviewing historical information based on organization-defined data analysis rules, including a review of annual trends and statistics.
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