Looker Embedding:- Embedded analytics is the integration of data analysis and visualization tools into third-party applications, allowing users to access analytics within their own systems without having to switch between applications. Looker, a popular business intelligence platform, provides embedded analytics capabilities that enable users to embed Looker content and functionality directly into their own websites and applications.
In this blog post, we’ll explore the benefits of embedded analytics in Looker and how you can use this feature to empower your users with data-driven insights.
Looker Embedding: Benefits of Embedded Analytics in Looker
- Seamless Integration: Embedded analytics provides seamless integration of data analysis and visualization tools directly into your application or website. This integration enables users to access and analyze data without leaving your platform, resulting in a smoother and more efficient user experience.
- Customization: Looker’s embedded analytics feature allows you to customize the appearance and functionality of your embedded analytics to match the branding and design of your website or application. This feature ensures that the embedded analytics seamlessly blend with the overall look and feel of your platform.
- Centralized Data: With embedded analytics, you can provide your users with access to centralized data sources, ensuring that they have access to the latest and most accurate data. This centralized data reduces the need for data duplication and manual data transfer, reducing the risk of data inconsistencies.
- Security and Control: Looker’s embedded analytics feature allows you to control who can access your data and what they can do with it. This control enables you to ensure that your data is secure and only accessible by authorized users.
Looker Embedding: How to Use Embedded Analytics in Looker
- Set up your Looker Instance: Before you can embed Looker content into your website or application, you need to have a Looker instance set up. If you don’t have a Looker instance, you can sign up for a free trial on the Looker website.
- Create a Look or Dashboard: Once you have set up your Looker instance, create a Look or dashboard that you want to embed. A Look is a data visualization that displays data from a specific data source, while a dashboard is a collection of multiple Looks and visualizations.
- Share your Look or Dashboard: To embed your Look or dashboard, you need to share it with the appropriate permissions. Click on the “Share” button in the upper right corner of your Look or dashboard and select “Embed”.
- Customize your Embed Code: Looker will generate an embed code that you can customize to match your website or application’s design and branding. You can customize the colors, fonts, and size of your embedded Look or dashboard.
- Embed the Code: Copy the embed code and paste it into the HTML code of your website or application where you want the Look or dashboard to appear.
- Control Access and Permissions: Use Looker’s access controls to control who can access your embedded analytics and what they can do with it. Looker provides various access controls that enable you to ensure that your data is secure and only accessible by authorized users.
Looker Embedding: How to Use Embedded Analytics in Looker
- Set up your Looker Instance: Before you can embed Looker content into your website or application, you need to have a Looker instance set up. If you don’t have a Looker instance, you can sign up for a free trial on the Looker website.
- Create a Look or Dashboard: Once you have set up your Looker instance, create a Look or dashboard that you want to embed. A Look is a data visualization that displays data from a specific data source, while a dashboard is a collection of multiple Looks and visualizations.
- Share your Look or Dashboard: To embed your Look or dashboard, you need to share it with the appropriate permissions. Click on the “Share” button in the upper right corner of your Look or dashboard and select “Embed”.
- Customize your Embed Code: Looker will generate an embed code that you can customize to match your website or application’s design and branding. You can customize the colors, fonts, and size of your embedded Look or dashboard.
- Embed the Code: Copy the embed code and paste it into the HTML code of your website or application where you want the Look or dashboard to appear.
- Control Access and Permissions: Use Looker’s access controls to control who can access your embedded analytics and what they can do with it. Looker provides various access controls that enable you to ensure that your data is secure and only accessible by authorized users.
Use Cases
Looker Embedding: E-commerce Website
An e-commerce website can use Looker’s embedded analytics to provide insights into customer behavior and purchasing patterns. For example, an e-commerce website can embed a Look that displays customer data such as purchase history, products viewed, and abandoned carts. This data can be used to personalize the customer experience by recommending relevant products, creating targeted marketing campaigns, and improving the overall user experience.
Looker Embedding: Healthcare Application
A healthcare application can use Looker’s embedded analytics to provide insights into patient data and treatment effectiveness. For example, a healthcare application can embed a dashboard that displays patient data such as medical history, diagnoses, and treatments. This data can be used to identify trends in patient outcomes and treatment effectiveness, which can inform treatment plans and improve patient outcomes.
Looker Embedding: Human Resources Dashboard
A human resources dashboard can use Looker’s embedded analytics to provide insights into employee data and workforce trends. For example, a human resources dashboard can embed a Look that displays employee data such as demographics, job history, and performance metrics. This data can be used to identify workforce trends such as employee turnover, skills gaps, and diversity and inclusion metrics, which can inform recruitment and retention strategies.
Examples
Spotify
Spotify uses Looker’s embedded analytics to provide insights into user behavior and music streaming patterns. Spotify’s data team has embedded Looks and dashboards into their internal tools, allowing them to analyze user data and improve the user experience. For example, Spotify’s data team has used embedded analytics to identify patterns in user listening behavior and create personalized playlists based on user preferences.
HubSpot
HubSpot uses Looker’s embedded analytics to provide insights into customer data and marketing effectiveness. HubSpot’s marketing team has embedded Looks and dashboards into their internal tools, allowing them to analyze customer data and improve their marketing campaigns. For example, HubSpot’s marketing team has used embedded analytics to identify customer behavior patterns and create targeted marketing campaigns based on customer interests and preferences.
Instacart
Instacart uses Looker’s embedded analytics to provide insights into customer behavior and shopping patterns. Instacart’s data team has embedded Looks and dashboards into their internal tools, allowing them to analyze customer data and improve the user experience. For example, Instacart’s data team has used embedded analytics to identify popular grocery items and create personalized shopping recommendations for customers.
Example: Looker Embedding – E-commerce Website
Let’s say you are the data analyst for an e-commerce website that sells shoes. You want to use Looker’s embedded analytics to provide insights into customer behavior and improve the user experience.
Step 1: Create a Look
First, you will need to create a Look in Looker that displays customer data such as purchase history, products viewed, and abandoned carts. To do this, you can use Looker’s drag-and-drop interface to create a custom report that pulls in data from your e-commerce website’s database.
Step 2: Embed the Look
Once you have created the Look, you can embed it directly into your e-commerce website using Looker’s embed code. To do this, you will need to copy the embed code from Looker and paste it into your website’s HTML code.
Step 3: Customize the Look
After embedding the Look, you can customize the look and feel of the embedded analytics to match your website’s branding and user experience. You can customize the colors, fonts, and layout of the embedded analytics to make it seamlessly blend into your website.
Step 4: Analyze the Data
Now that you have embedded the Look into your website, you can analyze the data to gain insights into customer behavior and purchasing patterns. For example, you can use the data to identify which products are most popular, which products are frequently abandoned in carts, and which products are frequently viewed but not purchased. This data can be used to personalize the customer experience by recommending relevant products, creating targeted marketing campaigns, and improving the overall user experience.
Step 5: Iterate and Improve
Finally, you can use the insights gained from the embedded analytics to iterate and improve your website’s user experience. By continuously analyzing the data and making improvements to the user experience, you can drive increased customer satisfaction and loyalty.
Note:- For the more deep level of details on Looker Embedding, please reach out via the contact form.
Conclusion
Using embedded analytics in Looker can provide valuable insights into customer behavior and help improve the user experience. By creating custom Looks and embedding them directly into your website or application, you can provide seamless access to data-driven insights and improve decision-making processes. The example above demonstrates how embedded analytics can be used to improve the user experience of an e-commerce website, but there are many other use cases where embedded analytics can be applied to drive business value.
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About Me:-
I am Om Prakash Singh – Data Analytics Consultant, Looker Consultant, and Solution Architect.
I am a Highly analytical and process-oriented Data Analyst with in-depth knowledge of database types; research methodologies; and big data capture, manipulation, and visualization. Furnish insights, analytics, and business intelligence used to advance opportunity identification.
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