In order to have a thriving business, one needs to be able to quickly analyze available data and use it to make the right business decisions. If you collect your business data in an SQL database, the best way to analyze it is using SQL server pivot tables.
What is a pivot table in SQL server?
A pivot table is a general way of gathering and displaying business data for reporting, data visualization, and subsequent business analysis.
Pivot tables uses advantages in SQL server are:
- Pivot tables in SQL are great for analyzing and demonstrating your data;
- They are very quick to create.
The main advantage of pivot table is that it is greatly increase data visibility and understanding that is why it is commonly accepted by BI specialists worldwide. They display data in tabular form and are widely used in OLAP data analysis and reporting.
There are two main ways of using pivot tables in SQL for your business:
Creating a table right in the SQL server using T SQL. However, this method will only suit you if you are an SQL programmer or have one in your company.
Another way of how to use pivot table in SQL is using ready controls that connect to your database and generate pivot tables using your data.
Creating a Pivot Table in SQL Server
When SQL Server 2005 was released, it introduced new PIVOT and UNPIVOT commands as enhancements to T SQL. These commands help you create and use pivot tables.
Pivot command transforms tabular data into table value data, and UNPIVOT does the opposite.
The main advantage of using PIVOT and UNPIVOT commands and creating tables directly in the SQL server is no need for external tools. At the same time, it is also the main disadvantage as it has limited data visualization functionality as compared to those tools. Besides, working directly with SQL server requires coding skills and experience with T SQL, so it is not really suitable for business users.
Dynamic pivot tables in SQL server
When one uses pivot tables, it is usual to define pivot column headers, so the table has unchanged structure. However, if you don’t want to rigidly define it in your script, or if you need the data to constantly update, you can use a dynamic range, thus creating a dynamic pivot table in SQL server.
The advantage of using a dynamic table is that it is automatically updated when the data is added, removed or changed. As a result, it will always contain up-to-date data.
It is possible to create dynamic pivot tables in SQL server directly, as well as using special tools.
Pivot Table Tools
Another way of generating pivot tables for your SQL server data, including dynamic ones, is using special tools that summarize, analyze, and visualize the data you need.
The most popular instruments for creating SQL pivot tables are Microsoft Excel or MS Access. However, there are a lot of specialized pivot table tools that offer significantly more functionality for data analysis.
One of such tools is Ranet OLAP, which is designed to work specifically with MS SQL server OLAP data. The tool collects the data from the server, and allows business users to build pivot tables and analytical reports by dragging and dropping elements. The data can be further visualized on diagrams and pivot charts, which makes the data easier to analyse. Ranet OLAP pivot tables support custom cell styles, as well as complicated types of analysis, such as what-if analysis etc.
Reasons to use Pivot Table Tools
Using additional tools for generating pivot table is sometimes seen as redundant, but such tools definitely offer certain advantages that make them so popular. They:
are easy to use. You don’t need to have any programming skills or experience with SQL to work with pivot tables as they are created by simply dragging and dropping elements.
offer more data visualization options. Pivot table tools usually support custom cell styles, diagrams, pivot charts, heat maps and other options to visualize the data.
allow complex types of analysis (what-if analysis, XYZ analysis etc.).