Looker Studio: A Versatile Tool for Creating Personalized Data Dashboards

Looker Studio A Versatile Tool For Creating Personalized Data Dashboards

Data has become one of the most valuable assets to businesses in the digital age. We need robust analytical tools to present and evaluate data in order to better comprehend and use this data. In this aspect, Google’s Looker Studio clearly stands out. In this tutorial, we will look at the basic functions, common terminologies, and how to use Looker Studio to create tailored data dashboards.

Introduction to Looker Studio

Looker Studio is a Google-owned data dashboard creation application that allows users to connect to numerous data sources and show data analysis results in an intuitive and dynamic manner. Looker Studio offers great support for both simple data visualization and advanced data analysis.

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Basic Functions and Common Terminologies

Before delving into Looker Studio’s features, it’s important to understand the following key terms:

1. Connector: Connectors, an important component in Looker Studio, enable the connection between Looker Studio and external data sources. Users can import data from many systems (such as Google Analytics, Google Ads, Facebook Ads, and so on) into Looker Studio using connectors. Looker Studio provides a variety of official connectors and also supports connectors from third-party partners to accommodate a variety of data connection requirements.

2. Data Source: A data source is a location where raw data is saved and made available; it could be a database, an online advertising platform, or any other system capable of producing and storing data. Users can connect to numerous data sources in Looker Studio to show and analyze data from multiple platforms on the same dashboard.

3. Dimensions: Dimensions, a fundamental notion in data analysis, represent many elements or attributes of data. For example, the temporal dimension could contain years, months, days, and so on, whereas the geographic dimension could include countries, cities, and so on. Users in Looker Studio can select and create numerous dimensions to study data from various angles.

4. Metrics: Metrics are specific data points that we wish to quantify and examine. Metrics that are commonly used include traffic, click-through rate, conversion rate, and so on. Users can define and calculate several metrics in Looker Studio to measure various parts of the business.

5. Fields: A field is a data table column that contains specific data values. A field in Looker Studio can be either a dimension or a metric. Users can build custom fields to satisfy unique data analysis purposes, such as calculating Return on Ad Spend (ROAS).

6. Report: Reports, a key component of Looker Studio, contain the dimensions, metrics, and visualizations that the user has chosen. Users can generate a variety of reports, including as tables, charts, and dashboards, to visually display and communicate data analysis results.

You can learn and understand more about Looker Studio’s terminologies through the following link:https://cloud.google.com/looker/docs/glossary

You’ll be better equipped to use Looker Studio’s features to produce data dashboards and reports that match your demands if you grasp the terms listed above.

Creating and Editing Reports

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Report creation and modification in Looker Studio is a simple and versatile process. Here are some tips and detailed steps:

Connect to Data Sources: Before you can begin creating a report, you must first connect to one or more data sources. Find and select the “Add Data Source” or “Connect Data Source” option in Looker Studio’s interface. Choose the sort of data source you wish to connect to (for example, Google Analytics) and follow the instructions to provide the required connection details.

Create a New Report: After connecting to the data source, select the “New” or “Create New Report” button to begin creating a report. You can either use the Looker Studio templates or design a bespoke report from scratch.

Add Dimensions and Metrics: Find and click the “Add Dimensions” and “Add Metrics” buttons in the report editing interface. Choose from the list of dimensions and metrics to add or build new custom dimensions and metrics.

Select and Customize Charts: Find and click the “Add Chart” or “Change Chart Type” button in the report editing interface. Choose the style of chart you want (for example, bar chart, line chart, or pie chart), and then change the color, size, and layout as needed.

Adjust Layout and Theme: You can change the report’s charts and elements using drag-and-drop and scaling tools. To make the report correspond with your brand and design requirements, use the “Theme and Layout” settings to select multiple themes, and adjust the background color, and font style.

Preview and Save Report: You can see a live preview of the report at any time while editing the report by clicking the “Preview” button. Once you’ve finished modifying, click the “Save” button to save your report. You can keep it as a draft or instantly publish it to share with team members.

Share and Export Report: After saving the report, you may send it by email or link to team members and stakeholders. The report can also be exported as a PDF, picture, or other file for offline viewing and sharing.

Using the processes outlined above, you can generate and amend personalized data reports in Looker Studio to visually present and share your data analysis results. Looker Studio’s versatility and extensive functions make developing data reports simple and efficient.

Custom Fields

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Custom fields are a significant tool in Looker Studio that allows users to construct additional dimensions and metrics to fulfill unique data analysis needs. The following are the fundamental processes and some helpful hints for creating and using custom fields:

Access Field Editor: To launch the field editor, navigate to and click the “Add Field” or “Edit Field” button in Looker Studio’s report editing interface.

Create New Field: Click the “Create New Field” button in the field editor, then add the new field’s name and description. Enter or pick the corresponding data type (e.g., number, text, or date) after selecting the field type (dimension or metric).

Define Field Formula: Enter or create your field formula in the field editor. Looker Studio’s functions and operators, as well as existing fields, can be used to generate sophisticated calculations. For example, if you want to compute Return on Ad Spend (ROAS), your formula may be Total Revenue / Ad Spend.

Validate and Save Field: After you’ve created or edited the field formula, click the “Validate” button to ensure its correctness and validity. If the formula is correct and error-free, save your custom field by clicking the “Save” button.

Use Custom Field: You can utilize the custom field in your reports just like any other field after saving it. Add the custom field to your report and choose the appropriate chart type to display the data from the field.

Share and Manage Custom Fields: You can share custom fields in Looker Studio so other team members can utilize them as well. You may see, update, and delete your created custom fields through the field administration interface, as well as examine custom fields shared by other users.

You can better satisfy unique data analysis needs, increase report accuracy, and gain insights by creating and using custom fields. The custom field tool in Looker Studio provides strong flexibility and control, allowing you to explore deeper data and acquire more relevant insights.

Looker Studio is a sophisticated yet simple tool for creating data dashboards. It has a lot of features and versatile customization possibilities, so we can easily build and distribute data reports. Whether you’re new to data analysis or an experienced analyst, Looker Studio empowers you to better understand and exploit your data.

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