

Google Sheets add-ons are third-party applications that boost the spreadsheet program’s functionality. We’ll also go over a few critical details you need to know about these third-party apps before choosing one. This guide covers our picks for the top Google Sheets add-ons to take your data analysis and reporting to the next level. You’ll need to find the apps that suit your unique data analysis and reporting needs.

With add-ons, you can automate critical parts of your data analysis processes and even transform the way you handle and report information. Google Sheets has gone beyond allowing users to create simple tables and basic functions. However, features such as hierarchies and KPIs may cease to work.If you’re still creating reports and performing manual data analyses in spreadsheets, then prepare to have your mind blown with Google Sheets add-ons.

Unfortunately, Power View is only available for Excel 20, though it is backwards compatible with SharePoint 2010, meaning you can base a Power View file in SharePoint 2010 using the SQL Server 2010 Reporting Services add-in.

Advanced pie charts, maps, and other data visualization tools, as well as data hierarchies allowing you to "drill" down through data, one layer at a time.Modify the internal data models without leaving the Power View sheet: update your visualizations on-the-fly, create new relationships between current data, and introduce key performance indicators (KPIs) based upon those relationships.Power View can connect to a number of different data models in one workbook, meaning you can show clients a range of data tables and visualizations, rather than the single one available to base-Excel.For instance, if we are mapping figures relating to Tucson, AZ, but our data returns values for Dove Mountain, Rancho Vistoso, and Barrio Historico, Power View smart groups them offering one single value. Power View groups data by corresponding values.The range of Power Query data sources is extensive: Search online for public data sources, including Wikipedia, Azure, and.Share and manage your queries across your sources, as well as exporting them to Power BI, or your business.Use the inbuilt JSON parser to build massive data visualizations over your Big Data analysis.Find and connect data from a massive range of sources, merging and molding that data to match your own requirements, or use integrated modeling tools, Power Pivot and Power View, to push your data further.Regular users can exert greater control over columns, formulas, filtering tools, modifying data types on the fly to transform raw information into valuable insight. Power Query is important to both regular and professional users. Power Query is another data analysis power tool that can be used for extracting data from a massive range of data sources, to clean and transform that data, and deliver that data into an accessible format.
