Excel is a spreadsheet software package introduced by Microsoft in the year 1987. It is specifically used to handle sets of large data and perform required operations that include mathematical, statistical, and analytical operations like regression, classification, sum, average, correlation, diversity analysis, feasibility analysis, etc., with the help of pre-defined ad custom definable tools provided by Excel. Nevertheless, every coin has two sides, and so does excel. The disadvantages of excel can range from lagging while handling lengthy rows or columns or crashing while performing strenuous functions, leading to the loss of data.
Here comes the utilization of Power Pivot that helps in more efficient handling of the large sets of Metadata without any sensible disadvantage. Power Pivot is a feature updated to the existing excels in 2010 by Microsoft that enables the user to use pivot tables easily on huge sets of data. The data can easily be fed into a single workbook regardless of their multiple and different sources and thus makes working with them much easier.
Steps to use:-
- Look for the default inclusion of Power Pivot in your excel package on the official website of Microsoft Excel Certification. If it is not provided, the add-on tool can be downloaded for free and added to the excel package easily.
- Next, activate the add-in or pre-loaded tool.
- Add it to the working excel ribbon on your computer window.
- Right-click on the Power Pivot icon on the ribbon and select manage data.
- Select the source of the data from the provided list and select the required data file or set to be imported.
- Once the data is imported, you can easily perform operations on it using the Power Pivot.
- The function of Power Pivot henceforth is similar to that of the pivot table feature of excel.
- You may wish to rename or customize or state the relationship between the imported data.
- To measure a table of contents, right-click on the Power Pivot icon, and select the measure button. Now select the table you want to be measured.
- On a column, click on the option calculations and then choose AutoSum. This provides you with the sum of the column.
- To create a measure with the help of calculation are, tap on home > view > calculation area. Click then on an empty cell and enter the requirements to the formula bar. The requirements shout be in a prescribed format such as <measure name> :< formula>.
Advantages of Power Pivot:-
- The lengthiness of management of large sets of data by excels solely or aided by normal pivot tables tended to lengthen the process of target completion. With the easier functioning with Power Pivot and faster analysis of the results, targets could be completed faster than before.
- The efficiency of the employees thus has increased.
- The manipulation of already analyzed data is easier with Power Pivot than in pivot table with subsequent changes in the analysis.
- The easy reproduction of the calculations and operation onto charts and graphs that can even be printed or exported to other excel sheets includes another advantage.
- The extended view of multiple sheets in excel is a bit off-putting and time-consuming, whereas, in Power Pivot, the user can use dashboards to navigate through several worksheets hassle-free.
- These dashboards even support multiple users, unlike excel, where it led to significant loss of data or unauthorized access.
Given the basics, easiness of use, advantages, Power Pivot has emerged to be an exceptional tool in the fields of handling, processing, and managing and analyzing big Metadata. Power Pivot has added advantages to that of the simp0le features of the pivot table and thus helps in better utilization of the time of IT employees and successful completion of targets. With easy reproducibility and time-efficient analysis of a large lot of data, organizations have been able to keep up with fast-changing client requirements and rather have been able to satisfy their customers. Power Pivot is not even that difficult to master. Thus, Power Pivot is the next step to excel in data analysis.
