SQL can be used to make data more accessible and usable for non-technical users in a number of ways:
Create user-friendly views: SQL can be used to create views that abstract away the complexity of the underlying database schema. This makes it easier for non-technical users to query the data without having to worry about the details of the database tables and columns. For example, you could create a view that combines data from multiple tables into a single table that is easier to understand and use.
Use plain language queries: SQL vendors are increasingly supporting plain language queries. This makes it possible for non-technical users to query the data using natural language, rather than having to learn the syntax of SQL. For example, instead of having to write a complex SQL query to find all of the customers who have purchased a certain product in the last month, you could simply type “Find all customers who have purchased a product in the last month.”
Use self-service BI tools: Self-service BI tools allow non-technical users to create and interact with reports and dashboards without having to involve IT. These tools typically provide a drag-and-drop interface for creating reports and dashboards, and they often support SQL queries.
Provide training and support: It is important to provide training and support to non-technical users who are using SQL. This will help them to learn the basics of SQL and to use it effectively. You can provide training in-house, through online courses, or through books and tutorials. You can also provide support through a help desk or through a forum.
Here are some specific examples of how SQL can be used to make data more accessible and usable for non-technical users:
A sales team could use SQL to create a view that combines data from the CRM system and the ERP system into a single table that shows the sales pipeline for each customer. This would make it easier for the sales team to track their progress and to identify opportunities.
A marketing team could use plain language queries to generate reports on the website traffic and social media engagement. This would help the marketing team to understand how their campaigns are performing and to make necessary adjustments.
A customer support team could use a self-service BI tool to create dashboards that show the most common customer problems and the average time to resolution. This would help the customer support team to identify areas for improvement and to track their progress.
By using SQL in these ways, organizations can make their data more accessible and usable for non-technical users, which can lead to a number of benefits, such as improved decision-making, increased productivity, and better customer service.