What Are The Steps To Implement Looker Business Intelligence Software?

Table of Contents
Looker Development have many great features that appeal to business users
4 min read

Nowadays, data is generated in almost every interaction with our company. Using and comprehending this data enables us to run our business more effectively. Data analysis is now a necessary component of every organization’s function. This data and experiences increase the value of business choices. Any organization relies heavily on decision-making. Thus, this must be made on something other than presumption or insight. Nowadays, business decisions are driven by data and consider the data’s facts and insights.

What Is Business Intelligence?

One of the most widely used and rapidly expanding areas of software, business intelligence has the potential to significantly enhance virtually all of your company’s business processes. Software for BI analytics, such as Google Looker, provides your organization with valuable data and delivers actionable insights, assisting you in improving your decision-making process. It helps you measure efficiency, identify potential growth areas, and identify future market trends.

Why Do Business Teams And Data Analysts Depend On Looker?

Business analytics can be explored, analyzed, and shared with Google Looker integration, software for business intelligence. Looker is compatible with any analytical database. It empowers laborers to associate and picture information across different data sets, including Google Cloud, Microsoft Sky blue, Amazon Web Administrations, on-premises data sets, and various cloud-based applications. Embedded analytics, workflow integrations, and the capacity to develop and launch custom data applications are all features of the platform.

Using the Looker Consulting services, you can provide everyone in your company with a consistent and dependable picture of what is happening in your company. Looker makes it easy to define company metrics and describe our data that your business can agree on. Everyone on your team will be able to work, explore, and analyze the data once you have a trustworthy source of truth for your business data. They will also be able to ask questions, drill down to find the right and adequate answers, and easily share the results with just one click.

Why Should You Choose Looker As Your Business Intelligence Tool?

Looker is the go-to tool for all data modelling solutions in the BI environment if you are tired of constantly attempting to stabilize or create a proper data model for analytics and reporting.

  1. Looker is entirely browser-based and runs on all computers, regardless of the operating system, because it is entirely web-based. Looker solutions can work with both hybrid and multi-cloud environments.

Looker functions similarly to the web: Its unique modelling language, which runs in the browser, lets any employee use the work of your best data analysts. Looker uses the most recent and fastest analytical databases to get real-time results.

  1. LookML is an easy-to-use modelling language compatible with SQL. The ability to define data relationships without using SQL is one advantage of LookML. LookML lets you customize visualizations without changing the underlying data pipeline by writing custom code.

Furthermore, when you ace LookML, most clients comment that reusing code for tedious tasks is basic. Because LookML makes it simple to implement custom code, you can create highly individualized visualizations across various data sets.

  1. Looker and a Looker Development Company have many great features that appeal to business users who want a better dashboarding experience and easy data handling in the backend. Looker, for instance, can be utilized by businesses for various data mining strategies.

The “drill-down,” or the capability to zoom in on the specifics behind any statistics, is the icing on the cake for any business analyst. You can do this by clicking on a chart that shows monthly revenues. This will give you a more detailed slice or a complete list of all the products sold that month.

Also read: Exploring The 4 Impacts Of Data Analytics With Looker

How To Implement Looker Business Intelligence Analytics Software?

Step 1: Getting To The Admin Settings

After logging into your Looker account, you can access your desired configuration settings from the Admin tab. In the Admin tab, you can modify the general settings and enable Looker experiments for the features of Labs.

Step 2: Experimental Features: Enabling And Disabling

You will be taken to a page with the tool’s Beta and Experimental features after clicking the “Labs” option in the General settings section. These features can be turned on or off by clicking the toggle button next to each one.

Step 3: Observing User Behaviour

You can see the client movement and other data about the neighbourhood occurrence from the upward route bar displayed on the left half of the screen. Select the “User Activity” option from the “System Activity” menu. You should now be taken to a page that displays various user metrics. Charts are used to show most metrics, making it easier to understand what they mean. The “Clients” area assists you with overseeing clients. You can view the available users and create new users from this section.

Step 4: Recruiting New Users

Click the “Users” option below the “Users” section to create a new user. You will be taken to a webpage with a list of available users. There will be information about each user’s name, ID, credentials, roles, groups, and actions. By clicking the “Disable” button to the right of the user’s details, you can prevent an existing user from utilizing Looker. Click the “Add Users” button at the top of the page to create a new user. You will then, at that point, be taken through various on-screen directions for the client to be made.

Step 5: New Groups Creation

The “Groups” option, which can be found below the “Users” section, provides information about various groups. There are specifics about the group ID, name, roles, members, and actions for each group. A group can be edited, renamed, or deleted using the actions. To make another gathering, click the “Add Gathering” button.

Step 6: Defining Users’ Roles

You can define roles in the “Roles” section beneath the “Users” section. If you select this option, you will be taken to a detailed page explaining each role. The Name, Permission Set, Model Set, User Count, and Actions are all available for each role. You can Edit or Delete the roles for the actions.

Also read: Data Visualization In Business Intelligence: How To Make Data Easy To Understand

Step 7: Managing Developer Settings

From the “Database” section, you can manage your developer settings and database connections. You will be taken to a page that displays the list of connections in your Looker account after clicking the “Connections” option. You will get information about the Name, Host, and Port for each connection: Type, Actions, Database, SSL, Port, and Username. You are permitted to Test or Edit the connection details for the actions.

Step 8: Testing Connections

You can also test all connections by clicking the “Test All Connections” button. Click the “New Connection” button to connect your Looker account to another data source. On-screen instructions will be displayed to assist you in connecting to your new data source.


In this blog, we have discussed business intelligence and Looker implementation services for business intelligence, its benefits, and steps for implementation. Looker is a new BI tool that Google introduced in 2019, and it has been working on it since. With a seamless and extensive list of data sources and connectors, Looker has effectively utilized all the data analytics and business intelligence processes. Are you ready to dive into business intelligence implementation in your enterprises? GetOnData can help with data visualization techniques.

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