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Google Data Studio vs Power BI


What is Power BI?

Power BI is one of the popular business intelligence tools developed by Microsoft Corporation to offer various data modeling capabilities like data preparations, data visualizations, data discovery, and generating interactive data analytic dashboards. With the help of Power BI users can make powerful business-related decisions. This Power BI tool helps users to pull the data using various formats such as images, excel sheets, spreadsheets, and videos. The Power BI tool also helps to centralize the database management system, and you can also visualize the data model on it.

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What is Google data studio?

Google data studio is an easy-to-use tool that is used to create a beautiful data visualization within a minute. This is a cloud-based application that can be run on the various top web browsers like chrome, safari, and firefox. This type of tool is able to deliver stunning, and insightful reports without much action from the user. Google data studio also comes up with a free-to-use license for personal or commercial use. With the help of Google data studio dashboard, you can access various types of charts such as charts, bars, pie, lines, Areas, scatter, etc, and this also adds up value to the data reports.

Comparison of Power BI and Google data studio:

Here we are going to explain the major comparison between power BI and Google data studio based on a few functionalities. Let’s start it;

Installation:

Power BI tool has a number of ways to install or configure it, and it all depends on the license. The basic, and very best way to install Power BI as a desktop application on your desktop. Power BI application is quick and straightforward so all you need is just a modern PC with 4GB of RAM (ideally 8GB of RAM) and running windows 8 operating system version or later. Power BI is a Microsoft product, and it is not available for MAC operating systems. 

Google data studio is completely web-based, so you do not need to install it on your computer/pc. Directly you can access them by logging into the Google page like other Google products. 

Data source:

Power BI consists of various pre-built connectors, and they enable you to connect to a wide variety and ever-expanding data sources. PowerBI’s web connectors help you to import data from almost any data source that includes Amazon, Google, and other Microsoft competitors.

Whereas Google data Studio data connectors are much smaller and offer only 18 connectors that are built by Google. inc itself. There are also 400+ connectors built by Data studio partners. These types of connectors you get to see only for advertising, media, and content-related websites.

Data transformation:

Power BI offers a full range of data transformations by using a power Query engine. Power Query lets you perform ETL (Extract, transfer, and loading) operations on the data which you have and prepare it for visualization. Users can also make use of data analysis expression (DAX) to build formulas and expressions. Power BI has a lot of capabilities to perform data transmission operations. 

Whereas Google data studio lags behind this feature. In Google data studio, the only way to perform data transformation is by using JOIN keys. So by default google assumes that you already have clean data for the visualization.

Ease of use:

If you are familiar with MS Excel, then Power BI would be a great choice.  But to access power BI, some sort of struggle is required to connect and integrate with different data sources. Power BI has also offered better functionalities than the Google data studio and also helps you with a drag-and-drop feature. 

Whereas Google data studio is very easy to navigate and the learning curve is minimal. The user interface of this platform is extremely intuitive as long as you have clean datasets. Only one thing you need to concentrate on is a drag-and-drop feature that helps you to create quick reports.

Sharing:

In Power BI report sharing is a complex task that is compared to the Google data studio. The biggest concern is that it is impossible to share a report directly from the desktop applications. Every time you need to publish the reports in the Power BI services. However mobile applications let you share a dashboard or report directly from the application.

In power BI you can share your reports and dashboards with internal and external collaborators. 

On the other hand, sharing data with google data studio is an easier task. With the help of email or links, you can share the reports in the Google data studio. In google, the recipients dont need to pay any subscription fees because Google offers a free google data studio tool.

Mobile compatibility:

Power BI consists of the native applications for Android, Windows, and IOS smartphones. In Power BI smart mobile application, you can perform the below vital tasks:

  • Visualizing data reports
  • Filtering of the data from a report.
  • Adding notes to the reports.
  • Getting a notification and setting alerts.
  • Exploring on-premise data reports.

Whereas Google data studio does not have a mobile application version so that users can visualize the data reports using the mobile browser, editing the report could be a challenging task. 

Community and online resources:

We already know that Microsoft Power BI has a huge knowledge base community to learn and resolve the issues about the platform usage. When you login into the communities, you will get to see a lot of content which are related to the platform guide. For example, themes gallery, custom visual studios, data stories gallery, developer, etc.

Similarly, Google data studio also has robust communities. Here the community gallery section of this tool gives you access to various third-party visualization widgets. 

Cost:

Power BI desktop is free but can be accessed only by beginners who want to know the basic things about the tool. For the business purpose, you need to share a desktop, and the cost it will going to charge is $9.99 per user/per month (premium subscription). Power BI Pro is a cloud-based application that can be used for collaboration, sharing, publishing, etc. If you are an expert, and you want power BI for both the on-premise and cloud-based reporting, support for big data and analytics, dedicated cloud computes, and storage resources you can opt for Power BI premium at $4995/year. 

Whereas the Google data studio is free to use application. And all you need is just a Google account.

Functionalities:

Power BI tool is available for both beginners and advanced level experts due to its tons of data manipulation features. It also helps you to access data through the data visualization elements like charts, bars, tables, graphs, etc. one more functionality of the Power BI is, the tool gets refreshed itself  8 times a day.

Whereas Google data studio comes up with fewer features when compared to the Google data studio as it is only a data visualization application. However, its in-memory BI engine is a powerful feature that helps users to eliminate the data visualization lags, especially used for the larger number of data sets. The Google data studio application gets refreshed itself every 12 hours.

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Pros and Cons of the Power BI:

First, let’s start with the Power BI:

Advantages of the Power BI:

Below are the primary advantages of the Power BI:

Offers easy data exploration and data visualization:
This is the world of data exploding, this tool offers the ability to explore valuable data and also perform data visualization tasks to get greater results. When compared with other business intelligence tools, I think this is an awesome tool in the data visualization process.

Acts as a managed self-service Business intelligence tool:
This Microsoft business intelligence tool provides an effective self-service business intelligence tool. The MSBI also acts as a Microsoft Excel that is used by everyone in their day-to-day activities to produce and report the data analytics.

This tool makes use of Native MS excel features:
The MSBI tool makes use of Microsoft Excel features to the core in order to produce effective data analysis. By using excel Microsoft excel features it’s very easy to collect data from multiple data sources.

MSBI tool supports Web service applications:
MSBI tool works well with programming languages like .NET and SQL database servers to build an effective web service application and also offers abundant benefits to the clients.

End-to-end Business solutions:
MSBI provides you with a great business solution for your organization and enables users to make effective business decisions. This tool offers entire top-to-bottom business solutions.

Data warehouse applications:
Business intelligence tools offer greater data analytical solutions. You can collect the data warehouse from various sources. This type of warehousing is more suitable to extract the information to carry out the data analytical task effectively.

Limitations of the Microsoft Power BI:

Below are the few drawbacks of the Microsoft Power BI:

  • This tool is very difficult to implement. You need to loop them in the development team, the IT team to get it executed.
  • To implement row-level security in Power BI and tie your web application users with Power BI users.
  • With users coming and leaving an organization, it becomes a nightmare to manage.
  • Requires considerable investment.
  • You need to buy a premium capacity.
  • Not feasible for pro users.
  • Still users need to visit your web page and the information is not delivered to them.

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Advantages of the Google data studio:

Below are the few benefits of the Google data studio;

It’s a free tool to use:
If you have a Google account, then it’s free to access the tool.

Offers customized report dashboard:
 Google data studio tool allows users to customize the report dashboards with a wide range of text formatting options available such as designs, Styles, graphs, and text headers. If you have new raw data, that will be customized on the dashboard based on your requirement with the help of this pre-built text formatting feature.

Here are some of the things you can format the data:

  • Page layout
  • Text formats 
  • Graphs 
  • Metrics
  • Style element

Offers modern and interactive data visualization:

In Google data studio with the help of a few clicks, you can easily create an engaging and visually appealing dashboard that will attract your audience for sure.

Automated report sharing dashboards:
Google data studio allows you to build an automated report sharing dashboard with the help of real-time data, this process saves your time while reporting.

Offers shareable dashboards:
Google data studio offers a sharing dashboard with the users for multiple tasks. This feature also helps you to communicate among peers and business partners.

You can share the report with the help of these things:

  • Link sharing 
  • Email permissions.
  • Schedules email deliveries.

Limitations of the Google data studio:

Here are the few drawbacks of the Google data studio:

  • Lack of real-time updates with respect to the dashboard.
  • Slow speed in case of live connections.
  • There is no on-premise deployment option available.
  • Lack of native data connectors availability.
  • A limited number of charts per dashboard report
  • Limited interaction with the elements.

Which is the best tool between Power BI and Google data studio?

Here we come to the conclusion part of the article, you can make use of Google data studio sources such as Google data analytics with the data that is readily usable, no need for sharing any complex information. Google data studio tool is a good fit for quick reporting. Most importantly it is a free tool to use unless you need some data connectors.

On the other hand, we have Power BI, this tool is used if you have a wide variety of data transformation options, all you need is a BI tool that has advanced features like greater data transformation capabilities, customization options, and if you don’t mind in paying. Power BI is a powerful robust data visualization and analytical tool, it requires some sort of excel knowledge to perform Power BI dashboards.

You can choose the tool as per your requirements, and data connectivity sources.

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Final thought:

We tried to clear all our audiences’ doubts regarding choosing the best tool between Google data studio and power BI. Both the tools are scalable and robust to use and configure. In this Power BI VS google data studio post, we have mentioned major differences based on the different categories, pros, and cons of the tools.

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Top 15 Agile PLM Interview Questions and Answers Updated


With the change in the advancements, we see a profound difference in the working procedures, process and management of the aspects related to the organization. The business organizations are focussing more on the solutions that help in managing the product chains. Many platforms and tools help in providing their immense support to the organizations. Agile PLM (Product Lifecycle Management) is an integrated framework that allows the business teams to work collectively during the development of the product. 

In this article, you can go through the set of Agile PLM interview questions most frequently asked in the interview panel. And these lists will help you to crack the interview as the topmost industry experts curate these at HKR training.

Most Frequently Asked  Agile PLM  Interview Questions

Give a brief idea about the testing principles of Agile testing?

Ans: The following are the principles of Agile testing: 

1. Customer satisfaction 

2. Developing a work environment where the business people and developers work together as a team. 

3. The primary focus should be on the essence rather than lengthy documentation. 

4. Customers would focus on welcoming the changes or developments or enhancements. 

5. Promotion of sustainable development 

6. A big free clean mode 

7. Face to face conversation is encouraged and appreciated. 

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List out a few agile frameworks?

Ans: Below mentioned are the few frameworks of Agile.

  1. Feature-driven development
  2. Test-driven development
  3. Kanban

Give a brief idea about sprint retrospective meetings and release candidate?

Ans: Sprint retrospective meeting: Sprint retrospective meeting is referred to the last part of the sprint. The sprint retrospective meeting is usually done after the review meeting of the sprint. All the teams, along with the scrum master, will join the discussion. The meeting duration would go around 2 to 3 hours.

Release candidate: When developing the applications or the software, there must be no errors or problems behind the work done. Hence, the release candidate is a code or version or a build that is released to ensure that there are no errors in the development stage.

Give a brief idea about the main roles in Scrum?

Ans: There are three main roles in the scrum. They are:

  1. Scrum team: The scrum team includes the individual who is involved in working collectively to complete the set of tasks involved.
  2. Scrum Master: The scrum master is the individual who is responsible for paper execution of the result obtained from the scrum team.
  3. Product owner: The product owner is the individual who is involved in delivering the concept to be built and convey the same idea to the team members.

Describe about zero sprints in Agile?

Ans: A zero sprint in Agile is referred to as the pre-step to be performed before the first sprint. You will need to set up the set of activities that have to be performed before the start of the initial sprint which can be treated as Zero sprint. The activities include backlog preparation, set up the environment to develop, etc.

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Do you think it is possible to apply agile methodology to any other testing apart from development testing and software testing?

Ans: Yes, it is possible to apply agile methodology with any other testing apart from development testing and software testing. The methodology of file testing is applicable in terms of biophysics, biomedical, biochemistry and also in the places that do not have sufficient data. You need to ensure that the project has to be completed within a small team.

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Give a brief idea about the most important agile matrices?

Ans: The most agile matrices are listed below:

Velocity: Velocity is the attribute measured by adding all the estimates of the stories that are approved. This is one of the important attributes that give you a clear idea about the progress, capacity and keeps track of the different aspects.

Work strategy allocation: This attribute gives you a clear idea on the aspect or where exactly you are investing your time and also about the priority of your work.

Defect removal awareness: This attribute allows active members to produce quality products.

Cumulative flow diagram: It allows you to check the uniform workflow, which is represented in the form of a diagram. In the graphical representation, the X-axis represents time, and the Y-axis represents the number of efforts.

Sprint burndown metric: The sprint burndown metric helps in keeping track of the work done with the sprint.

Business value delivered: This is an attribute that is related to the work efficiency of the team involved in the work assigned. It helps in measuring the efficiency and work done with 100 percent as a total mark associated with every project.

Time coverage: The time coverage is referred to as the amount of time given to the code during the testing phase. The time coverage attribute is measured based on the number of lines of code in a ratio format, by the number of relative lines of code.

Defect resolution rate: Defect resolution time is the term that is related to the process in which the team members detect the errors, bugs and fix them.

Describe the build breaker and Kanban?

Ans: Build breaker: There will be some scenarios where the developer will commit a bug accidentally in the software. This accidental bug might cause a problem and interrupt the execution or compilation or with a warning. In such scenarios, it is identified that the build is broken. The main task of the tester is to clear the bug immediately.

Kanban: Kanban is a tool that is designed and developed to help the team in reviewing the work-related aspects, especially the progress of the workflow. The Kanban board is used to describe the status of the current development story.

List out the disadvantages of agile models?

Ans: There are some disadvantages to agile models. They are listed below:

1.The agile models are not easy to predict. If a large project is assigned, then it is not flexible in calculating or getting an understanding of the efforts to be made to work on the project within the given deadline.

2.The product developed will not be a good satisfactory product to the customers, if the client requirements are not understood, analysed and met.

3. Using the agile models, the higher authorities will be able to make precise decisions, which would not be understood by the fresher with a little knowledge.

. Give an idea about test-driven development in Agile?

Ans: Test-Driven environment or often called TDD is a method in which the developer writes an automated test case describing the new addon or function and creates small codes to pass the test.

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. List out the challenges involved in developing Agile Software?

Ans: There are many challenges involved in developing agile software. The most important ones are listed below:

  1. Shows impact on the management rather than the developers.
  2. Each feature has to be completed before moving to the next one.
  3. All the coding part has to be clear and correct to ensure that the application is working as expected.
  4. Much planning is needed while developing agile software.
  5. It requires more testing and involvement of the customers.

. When should you not use Agile?

Ans: You must think of the below aspects before deciding to choose Agile:

  1. Customer availability
  2. Requirements flexibility
  3. Team skills and abilities
  4. Functionality split ability
  5. Time constraint

. What is the product burndown chart, sprint burndown chart, release burndown chart, defect burndown chart?

Ans: Product burndown chart: The product burndown chart is referred to as the descriptive that is represented in the form of a graph showing the implemented product backlog.

Sprint burndown chart: The sprint burndown chart represents the number of implemented sprints and non implemented sprints in the scrum cycle.

Release burndown chart: The release burndown chart is used to depict the pending release.

Defect burndown chart: The defect burndown charr is used to represent the number of defects identified and removed.

Related Article: Agile VS Scrum

. List out the agile quality strategies and project management tools used in Agile?

Ans: The following are the strategies and project management tools used in Agile.

Quality strategies:

  1. Iterations
  2. Dynamic code analysis
  3. Re-factoring
  4. Small feedback cycles                                                                                                                                                                                                                                                                                                                                                                                                                                                                      

project management tools:

1. Agilo

2. Icescrum

3. Version one

4. Agilefant

5. X-Planner

6. Rally software

. What is pair programming and list out its benefits?

Ans: The pair programming is a process in which two programmers work together as a team. One programmer is involved in writing the code and the other programmer reviews the code.

The benefits of pair programming are listed below:

  1. Code quality: The second programmer is involved in reviewing the code, which will help in minimizing the coding errors.
  2. Smooth transfer of knowledge: The experienced individual can teach the other partner about the techniques and codes.

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Conclusion:

Agile PLM is a platform that is used by most of the organizations providing multiple opportunities to the business organizations. It has become popular because of the benefits and frameworks that are helping business organizations achieve their success in a short period. I hope the above information is helpful to you. The above interview questions will help you to crack the interview easily. It is recommended to dep-dive more on the topic so that you will be able to answer any question raised by the interviewer. I wish you all the best for the interview and your excellent career ahead.

About Author

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As a Senior Writer for HKR Trainings, Sai Manikanth has a great understanding of today’s data-driven environment, which includes key aspects such as Business Intelligence and data management. He manages the task of creating great content in the areas of Digital Marketing, Content Management, Project Management & Methodologies, Product Lifecycle Management Tools. Connect with him on LinkedIn and Twitter.

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