7 Advantages of mobile technology

Google replaced its classic Data Studio tool with this new app, which promises to revolutionize data science and analytics, optimizing both internal processes and strategic decision-making in companies.

Flexibility and adaptation are essential to position yourself successfully in the competitive modern market. This is especially understood by the technological giants, whose products are constantly evolving to respond quickly to the requirements of the public.

And so Google confirmed it again, when it announced just a few weeks ago, the replacement of its Data Studio app (one of the most popular in its portfolio), with a new tool called Looker Studio .

Of course, they are not just simple “cosmetic changes”. This step represents a complete reengineering, aimed at positioning the new Looker Studio as an effective “Business Intelligence” (BI) tool.

In short, offering the business market a modern, powerful, easy-to-use application capable of interactively integrating a large number of cloud-based products.

Why Data Studio became Looker Studio?
According to Google executives, this transformation “is much more than a simple name and image change. It is a valuable opportunity for companies to optimize their decision-making through the support of tools that help them visualize and better understand their Data”.

To achieve this goal, Looker’s comprehensive design unifies all the data coming from the different information sources used by its users. Consequently, this allows for more complete and detailed analyzes of the performance of each specific business.

In this way, and unlike Data Studio , Looker operates as a much more advanced visualization and analysis tool, specifically oriented to BI tasks .

With the launch of Looker, Google also hopes to improve its position in the advanced end-to-end analytics market. Objective directly related to the development of the Analytics 4 app , which will be presented during the first half of 2023.

But that is not all. With Looker, Google also aspires to become a benchmark in the e-Commerce segment, which is constantly growing worldwide and whose success depends precisely on the correct use of increasingly detailed and efficient BI tools.

Complex evolution, but effective
Since its launch in 2016 (integrated with the Analytics 360 business suite), Data Studio has established itself as an effective tool for turning data into dashboards and detailed reports that are easy to read and share.

However, throughout its operational existence Data Studio served a rather mechanized role. That is, connecting one or more teams with various data sources to create, from them, interactive dashboards that could be shared among different users.

By contrast, Looker goes beyond simply collecting data. Through it, you can interpret and prepare personalized reports, design collaborative dashboards and practice, for example, more advanced market analysis.

Google executives explain that this evolution is based on the growing need for companies to use agile and powerful BI solutions, but which, at the same time, are easier to use for all types of audiences.

This feature allows Looker Studio to generate in real time all the metrics necessary to perform more accurate and efficient BI analysis. This translates into faster data interpretation, which makes it possible to optimize various internal company processes, among other advantages.

Consequently, greater efficiency, security, productivity and competitiveness are achieved at the level of the entire organization in general.

Likewise, to reinforce its reach and global compatibility, Looker Studio connects with different sources of information such as +Google, +GCP or +AWS . This allows the creation of dynamic dashboards , capable of modeling data with agility and capturing new audiences based on rules and events that easily adapt to changes in the environment.

5 Looker Studio Features
This new and advanced tool from Google offers the following features:

1. Revamped interface
   Looker Studio is more intuitive and easier to use, thanks to the fact that it operates through the simple dynamic of dragging and dropping objects between different panels. These can also be customized according to user preferences.
2. Templates
   Looker Studio has a wide and varied library of report templates, which allow the user to visualize data in a few minutes. This feature also helps connect data sources and customize the layout of charts, tables, and reports.
3. Data connection
   Reporting is streamlined with the extensive facility to connect different underlying data sources. In fact, each source has a default connector that guarantees direct and easy access to the respective data.
4. New application programming interface
   Looker Studio uses a specially designed API to automate the management and migration of data from Google Workspace.
5. Embedding data
   Thanks to this function, Looker Studio reports can be included in different web portals or in the company intranet, according to the specific needs of the moment. This allows all users to access the respective obtained data.

Advantages of the new Looker Studio
Some of the main benefits of the new Google tool for Business Intelligence are the following:

It allows consulting, analyzing and interpreting data in a simple, agile and updated way.
Create better interactive graphical experiences that give users valuable tools to streamline data science and analytics operations. At the same time, the basic user’s dependence on specialized data analytics teams is reduced by up to 99%.
It offers more statistics to a greater number of users. This improves productivity, decision making and innovation.
The use of new embedded analytics streamlines the growth of companies, increases the sale value of their products or services and reduces the abandonment rate among staff.
Provides greater confidence in large-scale data handling, thanks to the fact that it can operate from both Google Cloud and any other cloud.
Such features also allow Looker Studio to position itself as an effective data prediction tool, through the use of Machine Learning technologies . This translates directly into improved data-based strategic decision-making.

This optimizes, for example, internal security processes, maintenance of the production rate, and the performance of marketing and sales campaigns, among other variables.