Analyse MySQL data in Looker Studio

Impress your clients with beautifully designed custom reports that showcase all aspects of their campaigns at a glance. The ultimate solution for streamlined MySQL reporting: Two Minute Reports is the best MySQL Analysis tool, Report Generator and Tracking Software. With our intuitive tool, you can quickly assemble key performance indicators, customize the layout, drill down to your insights, share a live link or deliver reports automatically to your clients' inboxes. Streamline your reporting process and exceed your clients' expectations with our advanced MySQL reporting tool.

Create and analyze beautiful reports for your Healthcare Agency in seconds

Why connect MySQL to Looker Studio

Streamline Data Visualization Process

Streamline Data Visualization Process

Gather data from your MySQL database and use Looker Studio to organize it into interactive dashboards and reports. Transform raw data into easy-to-understand graphs or charts, helping you easily visualize patterns, trends, and insights for better decision making.

Automate Data Fetching

Automate Data Fetching

Looker Studio can automatically extract, transform, and load (ETL) your daily MySQL data feeds. This eliminates manual data pulling, freeing up your time to focus more on running and interpreting data analytics for your business.

Improved Data Sharing and Collaboration

Improved Data Sharing and Collaboration

Looker Studio allows for easy sharing of dashboards and reports. Your team members can securely access and work on the same report at the same time, allowing for instantaneous collaboration. You can also share insights with other stakeholders through a variety of formats such as PDF, spreadsheet, or a custom web share link.

MySQL data in Looker Studio : what to explore

Analyse your MySQL data with our metrics and dimensions in Looker Studio

Get Insights from MySQL tables

Get Insights from MySQL tables

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.

Sales and Revenue Reporting

Sales and Revenue Reporting

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.

Financial Reporting

Financial Reporting

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.

Marketing Analytics

Marketing Analytics

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.

Inventory Management

Inventory Management

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.

Customer Support

Customer Support

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.

Human Resources

Human Resources

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.

How to create a MySQL report in Looker Studio

Google Sheets
Step 1

Open Two Minute Reports' (TMR) MySQL connector for Looker Studio

Use our quick links or navigate to datastudio.google.com and search for our MySQL connector

Step 2

Authenticate and connect your MySQL data source

Follow the prompts to authenticate your MySQL source and grant TMR access to your data.

Step 3

Configure the Report Parameters

In the query configuration section configure your MySQL data that you'd like to fetch in your reports. You can also adjust other report settings here.

Step 4

Design your Report in Looker Studio

Next, you'll be inside the report editor in Looker Studio. Drag and drop the desired charts and your MySQL metrics and dimensions onto the canvas to create your report.

Step 5

Share and Publish the Report

Once your report is ready, click on the "Share" button and collaborate with your team. Define user permissions to control access to your reports

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Fetch your MySQL data in Looker Studio and do more with Two Minute Reports

Two Minute Reports for Looker Studio has these features for you

Ease of Use

Ease of Use

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.

Battle tested by Millions of Users

Battle tested by Millions of Users

By working with BI platforms developed with Billions of Investment by Google - like Looker Studio and Looker Studio, Two Minute Reports provides robust capabilities and a secure infrastructure for your Reporting

Data Integration and more

Data Integration and more

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.

Why use Two Minute Reports for MySQL dashboards in Looker Studio

Marketers know how critical it is for a business to correctly measure the performance of ad campaigns. Using standard Facebook tools, the in-line performance analytics are pretty straightforward. But things can change if you need to analyse custom metrics over an extended period. Facebook is simply not intended for a 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 Looker Studio 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.

MySQL

MySQL

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Looker Studio

Looker Studio

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Do more with Looker Studio + MySQL

With Two Minute Reports, you can get MySQL data in Looker Studio 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.

cfs

Firebase - Cloud Firestore

mysql

MySQL

mariadb

MariaDB

psql

PostgreSQL

Get MySQL data in other tools too

We also help get your Looker Studio to the following Tools

Google Sheets

Google Sheets

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.

Connect other Ad Platform Data Sources with Looker Studio

You can combine data from other Ad data sources with your MySQL Reports

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Firebase - Cloud Firestore

Firebase - Cloud Firestore

Cloud-based NoSQL database for mobile and web development.

MySQL

MySQL

Open-source relational database management system.

MariaDB

MariaDB

Open-source relational database management system, a fork of MySQL.

PostgreSQL

PostgreSQL

Open source object-relational database management system.

Connect other Marketing Channels with Looker Studio

You can combine MySQL data with not just Ad Platforms but also with other Platforms too

Mobile

Mobile

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.

Database

Database

The category includes SQL based data sources connectors such as Cloud Firestore, MariaDB, MySQL, Postgre SQL.

Advertising (PPC)

Advertising (PPC)

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

Web Analytics

Web Analytics

Data Sources like Google analytics, that analyzes the behaviour of visitors to a web site, falls in this category.