Easily automate and extract MySQL data to Google Sheets, simplifying data processing, visualization, integration with other sources, and collaboration with your team.
Import all necessary information from MySQL such as tables, fields, and query results directly into Google Sheets. This will give you an instant access to the current status of your database. Help in maintaining the sanity of your data, streamline your storage capabilities and save server costs.
By linking MySQL with Google Sheets, you can automate the generation of your critical data reports. Harness past data to forecast your database growth, schedule routine maintenance, and formulate key strategies to optimize your database performance.
Import MySQL data into Google Sheets and combine it with information from other sources like marketing campaign data, website analytics, customer behavior data, and more. Gives you a comprehensive view of how different aspects of your business are performing and how they are interconnected. This insight could be particularly useful for your BI and Data Science teams for a better understanding of overall business operations.
Export all important MySQL Metrics and Dimensions for analysis in Google Sheets
You can extract valuable insights from various data sets stored in MySQL tables. By analyzing data such as sales, revenue, expenses, inventory, customer behavior, marketing analytics, employee attendance, and payroll, you can identify trends, patterns, and areas for improvement. Additionally, monitoring financial and operational data can provide insights into the overall health of your business and help you make data-driven decisions to optimize your operations, improve customer satisfaction, and drive revenue growth. By utilizing MySQL tables for data analysis, you can gain a comprehensive view of your business and make informed decisions, regardless of the industry you're in.
You can extract valuable insights from various data sets stored in MySQL tables for sales and revenue reporting. By analyzing sales data that includes order date, order ID, customer ID, product ID, quantity, and total price, you can identify top-selling products, popular purchasing times, and customer behavior patterns. Additionally, monitoring revenue data can provide insights into the financial health of your business and identify areas for growth or improvement.
You can extract insights from financial data sets that include expenses, revenue, and cash flow stored in separate tables within the MySQL database. Analyzing expenses data that includes date, category, description, and amount, can help identify areas where costs can be reduced or optimized. Monitoring revenue data that includes date, customer ID, product ID, and total revenue, can provide insights into the effectiveness of marketing and sales strategies. You can also track cash flow data to identify cash shortages and plan for future investments.
By utilizing MySQL tables for marketing analytics, you can extract insights from data sets that include website visits, ad clicks, conversions, and customer engagement. Analyzing website visit data that includes date, user ID, page visited, and referral source can help you identify popular pages, user behavior, and areas for website optimization. Tracking ad clicks data that includes date, user ID, ad ID, and landing page, can provide insights into the effectiveness of ad campaigns and help optimize ad spend. Additionally, tracking conversion data can help identify customer behavior patterns and areas for improving the sales funnel.
To better manage your inventory, you can extract insights from MySQL tables that store data on product sales, stock levels, and product information. Analyzing product sales data that includes date, product ID, quantity sold, and total revenue, can help you identify top-selling products and optimize inventory levels. By tracking stock levels data, you can prevent stockouts and overstocking. You can also monitor product information data to optimize product offerings and improve customer satisfaction.
You can extract insights from MySQL tables that store data on customer support tickets, response times, and customer satisfaction. Analyzing customer support ticket data that includes date, user ID, ticket ID, and ticket status, can help you identify areas for improvement in customer service. Monitoring response times data can help improve customer satisfaction and reduce churn. Tracking customer satisfaction data that includes date, user ID, satisfaction score, and feedback, can help you identify areas for improvement in products or services.
Extract insights from MySQL tables that store data on employee attendance, payroll, and performance reviews to better manage your human resources. Analyzing employee attendance data that includes date, employee ID, and attendance status, can help you identify areas for improvement in employee engagement and productivity. Monitoring payroll data that includes date, employee ID, pay period, and total pay, can help ensure accurate and timely employee compensation. You can also track performance review data that includes employee ID, review date, and review score, to identify top-performing employees and areas for improvement in employee performance.
Open Google Sheets and install Two Minute Reports from the add-ons menu. No credit card required.
Open TMR add-on and select Data Source from the menu button. Click Add and add your new MySQL data source
Open the Queries menu and create a new query. Select the MySQL data source you added along with the MySQL metrics and dimensions you want.
Create a new schedule to automatically fetch live data from MySQL at periodic intervals. You can even send emails, PDFs or Excel sheets on schedule.
Instead of creating a report from scratch use our premade MySQL templates below and get started in no time
Two Minute Reports for Google Sheets has these features for you
Two Minute Reports is designed to be user-friendly and easy to navigate. With its intuitive interface, you can quickly generate reports and track your marketing campaigns without the need for extensive training or technical knowledge.
By working with BI platforms developed with Billions of Investment by Google - like Google Sheets and Looker Studio, Two Minute Reports provides robust capabilities and a secure infrastructure for your Reporting
Two Minute Reports integrates with MySQL and over 30+ Marketing platforms so that you can analyse and visualize your data in the BI platform of your choice.
Marketers know how critical it is for a business to correctly measure the performance of ad campaigns. Using standard MySQL tools, the in-line performance analytics are pretty straightforward. But things can change if you need to analyse custom metrics over an extended period. Generic MySQL dashboard tools are simply not intended for more detailed analysis that includes customizing filters and analysing the performance of multiple campaigns from multiple accounts. That is where Two Minute Reports steps in. Its MySQL to Google Sheets integration allows you to automate the process of extracting data from Ads on a custom schedule. You can merge data on multiple campaigns and ads in a single sheet, applying all the powerful tools Google provides. These include pivot tables, graph visualization, formulas, and team sharing capabilities.
Manage, Share, Analyze
With Two Minute Reports, you can get MySQL data in Google Sheets and also merge it with other Advertising data from platforms like Firebase - Cloud Firestore, MySQL, MariaDB, PostgreSQL. Not just that, you can also get data from different types of Mobile, Database, Advertising (PPC), Web Analytics, SEO, E-Commerce, Other sources, Social Media, Email, Customer relationship management Data Sources.
Firebase - Cloud Firestore
We also help get your Google Sheets to the following Tools
Two Minute Reports for Google Sheets helps you to get your MySQL data to Google Sheets. You can not just analyse data you do much more there. By running on top of Google Sheets, we support a range of customization options, including the ability to create custom formulas and functions, unlimited formatting and sharing capabilities, Google Sheets has a friendly interface that many of us are familiar with. Spreadsheets are easier to handle when you are looking at a lot of Data and you dont have to learn a new tool.
You can combine data from other Ad data sources with your MySQL Reports
Cloud-based NoSQL database for mobile and web development.
Open-source relational database management system.
Open-source relational database management system, a fork of MySQL.
Open source object-relational database management system.
You can combine MySQL data with not just Ad Platforms but also with other Platforms too
The category includes Data Sources like the Apple App Store and Google Playstore. That have information on apps that are provided to the data sources.
The category includes SQL based data sources connectors such as Cloud Firestore, MariaDB, MySQL, Postgre SQL.
This falls in the advertising category, more evidently Pay Per Click Connectors, for Facebook Ads, Google Ads, Snapchat Ads, LinkedIn Ads, TikTok Ads and Miicrosoft Ads
Data Sources like Google analytics, that analyzes the behaviour of visitors to a web site, falls in this category.