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Top 10 Most-Asked Power BI Interview Questions And Answers For 2022

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Top 10 Most-Asked Power BI Interview Questions And Answers For 2022

Power BI is one of the most influential tools that business intelligence can offer

Business intelligence has evolved the decision-making process of all companies that help them make the best actions for a bright future for the company. Among all business intelligence tools, Power BI has emerged as one of the most important tools for business development and management. Hence, most companies are looking for skilled Power BI professionals who can utilize these technologies and yield the best possible results for the company. Due to this very reason, among all the business intelligence careers, Power BI is the most in-demand among major industries. So, to ace the ongoing tech trend, and create a successful career in the business intelligence domain, aspirants need to thoroughly prepare Power BI interview questions so that they have all the knowledge in their possession to impress the employers. So, here we have listed some of the most-asked Power BI interview questions and the answers that you need to know to land a business intelligence job in 2022.

 

How do you think Power BI would prove to be an effective solution for our business problems?

Power BI is a strong business analytics process that creates useful insights and reports by collating data from unrelated sources. This data can be withdrawn from any source like Microsoft Excel or other hybrid data warehouses. Power BI would prove to be an effective business solution because it has the capability to drive an extreme level of utility and purposes using an interactive graphical interface and visualizations.

 

What is a Power BI Desktop?

Power BI Desktop is an open-source application designated and developed by Microsoft. Power BI Desktop allows its users to connect to, transform, and visualize data with ease. It also enables users to build visuals and collect visuals that can be shared as reports with colleagues or the clients of the organization.

 

What is a self-service BI?

Self-service business intelligence has been one of the major breakthroughs in the business intelligence domain. It has enabled many business professionals with no technical or coding background to use Power BI and generate reports and draw predictions successfully. In fact, non-technical professionals can easily use self-service business intelligence systems to help their businesses make more informed decisions.

 

What are content packs in Power BI?

Content packs are packages comprising different Power BI objects such as reports, dashboards, datasets, and others. There are two different types of content packs, i.e., service provider content packs and user-created content packs. Service providers such as Google Analytics, Salesforce, and others provide pre-built content packages, whereas, the latter can create content packages and share them with the organization’s professionals.

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What is a DAX?

Data analysis expression (DAX) is a library of formulas that are used for calculations and data analysis. This library comprises functions, constants, and operators to perform calculations and yield perfect results. DAX enables business intelligence professionals to use the datasets to their full potential and provide insightful reports. Essentially, it is a functional language containing statements, nested functions, and much more.

 

What is the difference between MSBI and Power BI?

Power BI is a collection of business intelligence tools and techniques that allows the user to create dashboards and reports by transforming the raw business data into visually interactive charts, maps, and graphs. Whereas, MSBI is used to integrate the processing components and processing interfaces to test and share the reports over various devices.

 

What is bidirectional cross-filtering in Power BI?

Bidirectional cross-filtering in Power BI Desktop allows data modelers to determine how they wish the filters to flow for data using relationships between tables. With bidirectional cross-filtering, the filter context is propagated to a second related table on the other side of a table relationship.

 

What is row-level security?

Row-level security limits the data a user can view and also sets access to, and rely on the filters. Users can define the rules and roles in Power BI Desktop and publish them to the Power BI service to configure row-level security.

 

Do you know how to use a custom visual file?

Professionals will use a custom visual file if the pre-packaged files do not fit the needs of the business. Developers create custom visual files that users can import and use in the same way as they would the pre-packaged files.

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Can you explain responsive slicers in Power BI?

A developer can resize a responsive slicer to various sizes and shapes, and then the data collected in the container will be rearranged to find a match. If a visual report becomes too small to be useful, an icon representing the visual replaces it, saving space on the report page.

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Everything You Need To Know About Cloud Business Intelligence

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Everything You Need To Know About Cloud Business Intelligence

Let’s know what is cloud business intelligence, how it works, and its advantages & challenges.

Business intelligence is the combination of business analytics, data mining, data tools, infrastructure, and data visualization to help organizations make more data-driven decisions. Cloud Business Intelligence refers to the deployment of BI tools over Cloud Infrastructure which can then be accessed using virtual networks including the Internet. Cloud BI gives companies the information they need to make data-driven decisions without the money.

Organizations are used to provide firms with business intelligence data such as dashboards, key performance indicators, and other types of Business Analytics. The core of cloud BI is turning data into actionable insights. It’s all about getting the right insights to the right stakeholders at the right time. Cloud BI tools include customer relationship management applications, online file collaboration, storage, and help desk software embracing the agility and accessibility of the cloud.

 

How does cloud BI work?

Companies create raw data every day. After creating the data in a usable format and together in one place, stakeholders can begin to analyze it to find answers to their questions. Better business decisions from better data, need to use cloud BI.

Cloud BI moves this process from physical servers and hardware into a cloud environment in 3 ways. Those are public cloud, private cloud, and hybrid cloud. A private cloud is a cloud service that is not shared with any other organization. The private cloud user has the cloud to themselves. It is the most expensive of the three cloud options, but it offers dedicated storage and computing resources. Hybrid clouds allow data and apps to move between the two environments. A public cloud is an affordable cloud BI option because, in a public cloud, the cost of infrastructure is split among several cloud tenants.

 

Advantages of cloud business intelligence:

Ease of use: Cloud BI is internet-based; they are quick to install and simple enough that teams don’t need to wait on IT experts. This means reduced IT involvement and costs.

Simplicity: Cloud BI tools are designed with easy-to-use dashboards and intuitive design. Cloud BI applications are very simple to deploy since they require no additional hardware or software installations.

More accurate data: Cloud business intelligence tools can process data rapidly and recheck data anytime that exceeds traditional BI tools and far exceeds manual data integration efforts.

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Scalable resources: Cloud BI can scale up and down with an organization’s needs. This application can be rapidly scaled to accommodate an increase in the number of users in a company. It’s a more powerful way to compute.

Increased competition: Cloud BI’s affordability means that companies of any size can access the benefits of better business intelligence. Organizations of all sizes within any industry vertical can leverage cloud BI tools, which creates a more level playing field.

Challenges with cloud BI: Compliance of cloud BI applications with web services architectural standards. Server management issues like using huge parallel data-warehousing systems with an equally distributed query load and consistent response time patterns across all database servers and The network architecture must be constructed in such a way that the query load is dispersed fairly among the array’s servers.

 

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Top 10 Business Intelligence Software That Best Suit Your Business

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Top 10 Business Intelligence Software That Best Suit Your Business

Top 10 Business Intelligence Software that Best Suit Your Business

Data is considered to be the most valuable asset for organizations, irrespective of the sector. Analyzing data to be able to meet the business objectives is what organizations aim at. This is why having the right tools and techniques in place always helps. On the same lines, the right business intelligence (BI) software will help in collecting, organizing, visualizing, and analyzing data to allow for actionable data-based decision making. On that note, we will throw light on the top 10 business intelligence software that best suit your business.

Tableau

Tableau is probably one of the most popular business intelligence software. It is known for making visualizations that are way more beautiful than you ever imagined! It comes with a free version as well that has limited capabilities.

Qlik

This high-performance business intelligence platform represents how the data should get related in the best possible manner. Qlik boasts of an interactive visualization that further aids in effective decision-making. What cannot go out of mention is the fact that this BI software comes with self-service Visualization, Guided and Embedded analytics.

Datapine

This business intelligence software stands the ability to let you connect your data from various sources and analyze them with advanced features. Here, you can create a business dashboard, generate standard or customized reports, and even incorporate intelligent alerts so as to get notified of anomalies and targets.

SAS

SAS Analytics is yet another impressive BI software that stands the potential to reveal patterns and anomalies in data, identify relationships and different variables, and even predict future outcomes. Be it forecasting, data visualization, text analytics, or data mining, this BI software has got you covered. No wonder, the users are in a position to make better-informed decisions.

Looker

Looker has gained recognition as a business intelligence and data visualization platform that allows the users to combine, drill down, and analyze that data in real-time in dashboards and reports. Additionally, this software keeps the data up to date. It does this by connecting to existing company databases.

Domo

Yet another powerful BI software that delivers a wide data set and connector support are Domo. The organizations succeed at finding effective solutions in the midst of ever-changing business challenges – thanks to Domo. Also, the users get to access the real-time data here.

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Infor Birst

It is a cloud-based analytics and business intelligence platform. This BI software is aimed at helping the users understand and optimize complex processes. Its popularity is immense – so much so that it being one among the top 10 business intelligence software that best suits your business doesn’t seem to surprise anyone.

Pentaho

This is an open-source commercial BI tool that has everything required for a business to make accurate and data-driven business decisions. Features such as big data integration, data mining, and predictive data analytics make it all the more popular and widely used. Additionally, it supports rich navigation features and data visualization.

Oracle Business Intelligence

Oracle Business Intelligence focuses on providing end-to-end solutions to help businesses optimize their performance. Not just that, this BI software does everything possible when it comes to empowering them to make faster and more informed mobile-enabled decision-making.

Board

Board is a combination of BI, Corporate Performance Management, and Business analytics. This supports a wide range of features including data visualization, drill-down, and drill-through functionality. What is worth a mention is the fact that its multi-dimensional analysis helps to make strong business decisions.

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Top 10 Real-World Applications Of Business Intelligence

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Top 10 Real-World Applications Of Business Intelligence

Top 10 Real-World Applications of Business Intelligence

Know more about how business intelligence is being used in real life.

Business intelligence (BI) can add value to almost any business process, creating a comprehensive view and empowering teams to analyze their own data to find efficiencies and make better day-to-day decisions. Digital transformation is now seen as a key strategic initiative and business intelligence tools have evolved to help companies make the most of their data investments. Here are the top 10 real-world applications of business intelligence.

HelloFresh

For meal kit company HelloFresh, a centralized business intelligence solution saved the marketing analytics team 10-20 working hours per day by automating reporting processes. It also empowered the larger marketing team to craft regional, individualized digital marketing campaigns. Based on aggregate analyses of customer behavior, HelloFresh created three buyer personas to guide their efforts. Being able to see and track real-time data means the team can react to customer behaviors and optimize marketing campaigns. As a result, they saw increased conversion rates and improved customer retention.

REI

Outdoor retail co-op REI uses a business intelligence platform to analyze their co-op membership. Co-op members contribute to REI’s account for more than 90 percent of purchases with the retailer, so it is critical to track metrics like acquisition, retention, and reactivation. All of this information equates to over 90 terabytes of data. The ability to parse all of this data means that operations teams can determine whether to invest more in brick-and-mortar retail or digital experiences for their members. This leads to greater customer satisfaction and positive associations with the brand.

Coca-Cola

Coca-Cola’s business intelligence team handles reporting for all sales and delivery operations at the company. With their BI platform, the team automated manual reporting processes, saving over 260 hours a year which is more than six 40-hour workweeks. Report automation and other enterprise system integrations put customer relationship management (CRM) data back into the hands of sales teams in the field through mobile dashboards that provide timely, actionable information and a distinct competitive advantage. A self-service BI implementation fosters more effective collaborations between IT and business users that maximize the expertise of participants.

Chipotle

Chipotle Mexican Grill is an American restaurant chain with more than 2,400 locations worldwide. Chipotle retired its traditional BI solution for a modern, self-service BI platform. This allowed them to create a centralized view of operations so they can track restaurant operational effectiveness at a national scale. Now that staff has more access to data, the speed of report delivery for strategic projects has tripled from quarterly to monthly and saved thousands of hours.

Des Moines

Des Moines Public Schools (DMPS) used advanced analytics to improve dropout intervention rates to better understand the impact of various teaching methods on individual student outcomes. The DMPS Research and Data Management team used a multiple linear regression model and nicknamed the dropout coefficient to weigh student indicators to predict which students might be at risk of dropping out of school. They used a business intelligence platform to leverage the model. Data visualization made it easy for staff to identify individual, at-risk students and get those students the attention they need.

Koodos

Koodos is a new startup from Harvard Business School’s Rock Center for Entrepreneurship that builds content curation technology for Gen Z based on user-generated data. Koodos’ business model is dependent on understanding relationships between different sets of data. Their first experiment matched emojis with music like if you texted an emoji to 566-367, you got a song recommendation from another person. With a business intelligence tool, Koodos is able to unify their data to gain an understanding of how their experiments are performing and then use those insights to build a better product.

New York Shipping Exchange

New York Shipping Exchange (NYSHEX) is a shipping-technology company working to improve the process of shipping overseas. NYSHEX decided to give the entire company access to the data using their business intelligence tool, Chartio. This has been possible not only because all that data is centralized into one system, but also because it’s easy for someone with no coding knowledge to dive deep into analysis.

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CareLinx

CareLinx is a nationwide, in-home care network connecting families to over 300,000 in-home caregivers. CareLinx already used a business intelligence tool for non-PHI data, so their engineering and product teams already realized the benefits of good BI. Once Chartio became HIPAA-compliant, a whole new world of opportunities opened up for them.

Bugcrowd

Bugcrowd is a cybersecurity platform that connects its customers to security researchers to identify vulnerabilities in products and applications. Their requirements were strict: airtight security and the ability to handle many data sources and it had to be easy to use. With their concrete and attainable business intelligence goal, Bugcrowd was able to solve their problems.

DataRobot

DataRobot is an enterprise-level artificial intelligence platform that invented the automated machine-learning category. DataRobot made the choice to onboard new employees with a seat on their Business intelligence tool. Their goal was to give every team the power to understand and act on data without the need to go through the engineering or analytics team. By incorporating their BI tool into the onboarding process, DataRobot cemented a culture of data democratization, where every employee had the power to analyze and act on data.

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