What is your primary use case for Microsoft BI?

I am currently a tech lead in data science for the Middle East team at Vodafone, especially working with Cloudera CDP cluster. I administer three mega clusters: one for production, one for disaster recovery, and one for AI and machine learning practice. I cover the administration part and how to build the cluster from the beginning. In the development cycle, I have successfully integrated different tools into Cloudera such as Microsoft Power BI. I fully integrated this visualization tool, so now we can report the data directly from Data Lake. This is the modern approach because the market leads to having one single source of truth. We apply the Medallion Architecture and report directly to business users from the Data Lake without needing the middle layer such as a data warehouse. I have five years of experience working with Microsoft Power BI. I have already developed over twenty dashboards for the commercial and finance teams, with different types of dashboards. I cannot share the actual dashboards because this is confidential information, but I can show you how I simulate the data and gather meaningful insights that help businesses make decisions quickly. I also developed dashboards for a mega transportation company in KSA called Welcome or Arheb. Currently, I am developing my experience to lead other teams on how to develop the best scenarios in Microsoft Power BI.

There are so many use cases of Microsoft Power BI. For example, the first use case is in manufacturing automation, where clients in the ready-mix concrete sector are using it. We collect and analyze user and operator feedback to optimize operational performance in manufacturing while also taking data from their sales projections. Role-wise, it is being created, and function-wise, we look at sales data from last year and the last quarter versus the current quarter to identify gaps and required run rates to meet sales goals. Microsoft Power BI predicts whether they will reach the previous year's sales and their desired target for this year based on current run rates, showing the optimized revenue needed per day to achieve their goals. My customers are in other industries beyond manufacturing with Microsoft Power BI. Currently, we are working with the finance sector; it's a non-banking financial company (NBFC) client, not a bank.

In terms of my relationship with Microsoft Power BI, I am a user. For deployment in my organization, I don't know the details because I'm an end-user.

Microsoft Power BI is a business intelligence tool, and we take the data which was preprocessed, refined, cleaned, transformed, and loaded so that it can be used by Microsoft Power BI to get insights from it. We represent the data using various visualizations such as bar charts and diagrams. By utilizing these functionalities, we gain better insights about the data. It also provides connectivity through various data sources such as SSIS, SSAS, Azure SQL, Synapse Analytics, and Data Lake, allowing Microsoft Power BI to be used efficiently. Additionally, it plays a major role in ETL tasks as well. The interactive elements in Microsoft Power BI enable us to perform drill-up, drill-down operations, and drill-throughs, and the various types of visualizations, including charts, graphs, maps, matrices, tables, and slices, make it highly adaptable for different case scenarios. The measures help us carry out aggregations and calculations to provide the necessary business insights, such as representing total sales or tracking growth year by year. For business use cases, real-time data from Microsoft Power BI could be very impactful. With AI in Microsoft Power BI, when we ingest the data and use the GenAI tools at our disposal, AI helps automate the process and represent the visualizations to our customers and clients. For instance, if we want to analyze the growth pattern in the last quarter, the tools can assess the visualization presented and provide us with specific responses.

There are multiple workflows used in SharePoint and Salesforce. In ServiceNow, workflows are generated for each of the corporate functions such as HR, finance, ORM and others.

I use Microsoft Power BI to build dashboards and reports for people analytics. This includes headcount, attrition, service delivery, and data quality. All the reports my team and I produce are specifically for the HR or people functions.

The primary use case for Microsoft Power BI ( /products/microsoft-power-bi-reviews ) is mainly for operational reports. I primarily use it for these types of reports.

I use Microsoft Power BI ( /products/microsoft-power-bi-reviews ) as a customer and within the organization to create dashboards and insights into data. I also build dashboards and use Microsoft Power BI ( /products/microsoft-power-bi-reviews ) to analyze data.

My use case is not extensive because I am using a module of Eightfold. As a financial controller, I am not directly involved in recruitment myself. I have only seen it on someone else's screen, so I am not a good judge of the solution.

I primarily use Power BI for data visualization. I build dashboards on Power BI, which are then distributed to a larger audience for day-to-day operations, like data management and similar tasks. In some cases, I have used Power BI to manage very large data sets, which isn't possible with Excel, Access, or other tools. I created custom solutions on Power BI that allow users to cut and slice through the data we have. These are the two main use cases I've observed so far.

I use this solution for activity reporting.

I use the platform primarily to create visualizations and reports from data to gain insights. It is utilized for operational, decision-making, and managerial reports.

I use Power BI primarily for generating reports, analyzing data, and supporting data-driven decisions across various functions within the organization.

Microsoft Power BI is primarily used in our customers' organizations for interrogating financial data and as the primary reporting tool.

In my company, we use Microsoft Power BI only for monitoring because now it is the only software you can use to connect to Azure DevOps. We use the tool to monitor our environment, activities, and KPIs and evaluate bug rates and future values. In our company, we use agile scrum methodology, and for every activity that we create in our backlog, we monitor the life of the activity in our backlog. When we deliver the above-mentioned features, we use the Microsoft Power BI to monitor and create KPIs.

We use the solution for data analysis.

We use it for data modeling, joining data from different data sources, and visualizing dashboards and reports for end-users and business process owners in the company.

I developed a product based on Power BI. I intensely use it. I also use it to generate reports and monthly management reports. It's connected to the production database with connectors. It's not so big data, but it's for medium-sized datasets.

With Power BI, I create dashboards. We have an IT manager responsible for supply chain and CRM, including billing. I handle the supply chain module, receiving end-user requests for dashboards and reports. I create analysis and measures in Analysis Services, then craft dashboards that meet end-user requirements. My work involves using SQL Server Integration Services to integrate data from various sources, including Oracle and SQL Server, and then store them in Data Warehouse.

My work is more about providing security solutions for about three years, making this service available to end users. My scope of work involves making the Power BI solution available as a general product to end users, ensuring that relevant security solutions are enabled from an identity perspective, licensing perspective, and from data loss prevention (DLP) and data protection perspective. I work for a bank, so we are a customer of these services. We serve internal customers by making these solutions available. Power BI can connect to various data sources. Depending on the business users, some may be using it along with their Excel sheets. The data source could be just the Excel sheet or a comma-separated values (CSV) file, where they receive data in that format from whichever application it is, and then they feed it into Power BI. Based on the business, they would have created analytic reports, and they are able to produce insightful analytic reports on the fly, based on management, end user, or stakeholder requirements. Users connect to the data source, which could be coming from SQL, Excel sheets, their own applications like SaaS applications, internal HR solutions, the intranet, etc. Different business users use it for different purposes to make Power BI connect to the data source and generate the required reports.

I use the solution to generate analytics reports for most of the projects we are engaged in within our company.

We use it to create dashboards. We input our data and visualize it as dashboards.

Across retail, logistics, legal, finance, and more, I use Power BI to craft custom solutions. From analyzing sales to optimizing operations, Power BI helps me extract actionable insights for informed decision-making across diverse industries.

I use it primarily for some application services. It's primarily for government statistics. I use it for visualization as well, mainly for filtering data, and creating graphs and dashboards.

I've mainly worked within the banking sector. It is particularly useful for vertical clients. Power BI is a great tool for reporting. You can source data from any database, like Oracle or Microsoft SQL. It generates reports and provides methods to control your report's power.

I use Microsoft Power BI a lot for visuals in my work.

As an R and Python programmer, I insert scripts from any of both languages into Power BI files.

Usually, it already exists a Power BI file by the final user, with plenty of beauty, but Business Intelligence doesn’t include advance statistics, machine learning or artificial intelligence.

For instance, a “Prediction” column from such advanced methods is included in the dataset section, then it is visualized in the Report as any other column does.

The final user has to instal R or Python in his/her computer (desktop version) because Power BI will invoke them but both are freeware.

We use Microsoft Power BI to automate dashboards to present information to our senior management. It helps us extract the relevant data from the dashboard.

It’s not just a specific tool I use when providing solutions. In these scenarios, clients often have a significant Microsoft presence with servers for data collection, whether it's in a data lake, data warehouse, or a data lake house. Their users typically require reporting, dashboards, or ad-hoc queries based on their specific business needs. However, most vendors tend to offer inflexible solutions, focusing on predefined reports.

My company uses Microsoft BI for reporting purposes. In my company, we extract data from different sources, put it in the staging area, and then use Microsoft Power BI to build the reports and dashboards.

In January, I successfully published my application on AppSource, specifically targeting retail customers. Recently, I received positive feedback from a customer, which was truly gratifying. It seems that my application is Microsoft's preferred choice as it effectively addresses the majority of customer requirements and is tailored to their specific requests. Apart from retail applications, I have also developed solutions for BigChange, an organization dedicated to driving significant changes. Additionally, I have worked on creating reports focusing on production efficiency within my company. These reports have been well-received and have provided valuable insights. Lastly, I have recently worked on an application that involves managing IT resources and has developed a multi-dimensional model including SSIS and Power BI. For the last project, I worked on creating data flows and implementing incremental refresh functionality. However, there was an issue we encountered regarding the date field in the tables. The existing portal dates were incorrect as they did not reflect changes in the records. To address this, we collaborated with the developers to introduce an additional column that accurately captures modified data in the system. This improvement has proven to be significant, and it can be implemented using the pro license, rather than relying on the premium license, as the premium license covers different aspects. The Pro license offers great features such as incremental refreshing, which is highly beneficial. While it doesn't include direct query capabilities, I believe that many customers don't actually require direct query functionality. Currently, the developers in my company are busy adding a column in the API as part of our transition to BC Start. Our intention is to gradually migrate our customers to SQL Server, and that's why we are using the app. In a simplified manner, when working on-site, you cannot directly connect to the regular table without using APIs. That's why the APIs need to be modified to include an additional column, making it suitable for incremental refreshing. Apologies for any disruption caused, but I hope this explanation clarifies the situation.

We are power industry consultants and we collect line operation data from power plants, preprocess it and then put it into some visualization software such as Tabula or Power BI. We then generate a regular test report for our customers who are power plant operators.

We utilize Microsoft BI for conducting comprehensive analytics by comparing data from the current year with the preceding year to identify patterns and variations. This software aids us in performing overall data analysis. The solution can be deployed on the cloud and on-premise.

There are several different use cases. The most basic use case would be just to be able to share data from a database or a data repository. That's the most basic use case. Microsoft Power BI is a visualization tool, is a BI tool. There are more than 1,000 use cases that you could use. There are countless use cases for which a BI tool or visualization tool could be used for. The simplest use case is where a colleague in an organization who does not have any coding skills or does not have any technology background wants to be able to look at some data from a database or a repository of data. He or she could use Power PI just to be able to connect to that system and just take a look at or peek into that database. It is as simple as that.

We use Microsoft BI to construct panels and analysis for the final users by themselves. We have all the units outside and analyses made by the final users. They can share their work with other colleagues and other teammates easily.

In my project, I have an integration with Microsoft Power BI: I bring the lock from Azure Monitor to Microsoft Power BI, then create a dashboard from there. In the morning, we have a screenshot of the dashboard, and it can show you if there's a failure or not, based on the locking, so I combine the data which we get from the on-premises system, Azure Monitor, and other tools.

We use this solution for all of our self-service analytics. We have the analysis services on-prem and Power BI Pro in the cloud. We are using the latest version of Microsoft BI.

We are using Power BI for reporting.

We are a consultant company, so we use BI for project follow-up, sales and pipeline. We are partners with Microsoft and I'm the company's client director.

Power BI is used internally to track indicators like KPI, sales, and a bunch of other essential metrics for our company's strategic planning. Power BI creates reports and compiles data coming from various sources, and we create dashboards for managers and executives to monitor these indicators. There is also an external use case. We also have a team that provides BI as a service. Let's say your company collects all your data manually in Excel sheets and creates reports. We get rid of the Excel files and automate everything using Power BI to create dashboards and reports.

We use this solution for reporting around data migration.

I have been a professor at a program mastery at UISEK University for the past two years where I teach students how to use these tools.

We are using it, for instance, to figure out some indicators in regards to our students including the number of students, which are graduating, et cetera.

We are using Microsoft BI for data analysis.

We are providing BI services to clients in India who are using Microsoft BI. We are able to provide the clients with data-driven decisions by the use of the reports that we are creating using Microsoft BI. The reports are usually graphical and intuitive.

We are using this tool for management reporting.

We use Microsoft Power BI for production testing. We're not using it for production automation. It's being used for testing and testing themes. We have a testing requirement, so we want to mimic automated workflows on production to be validated on regular intervals, and this is how we use this solution.

We deal with government agencies that compile stats and data. For instance, the use cases for the department of education are all school-related. They need to know the number of schools in a given region, attendance, etc. They also need to monitor monthly changes in the data, so they run analytics to see where enrollment and attendance are dropping or how schools are performing. Recently, we developed an application for the South African statistical bureau. They use Power BI for their dashboards to show precisely how many people were counted in which areas, and where they have the challenges. We have different use cases depending on the project and the client's requirements. It's deployed in the cloud because Microsoft has switched to offering Power BI as a service. Most of our clients are doing all of their business intelligence primarily on the cloud, but we still have clients that are running SQL who prefer to do their own intelligence internally instead of using cloud solutions.

We use the solution for data analytics, so we use it to manage data governance, manage the data for certain organizations, and present it in a way that is more advanced than the manual reporting that was being done before via Excel. Now it's kind of interactive. It's more modern, so there are a lot of new features. It can be integrated with more BI tools also. I've been in different organizations with different setups. I've experienced using on-prem, cloud, and hybrid.

The use case is mainly creating the dashboard for the organization's data transaction and its data project. We create dashboards on top of this data for the top management. I am using the latest version. The solution can be deployed on cloud or on-premises. It depends on what the client wants and if it's available. We have around 10 to 15 people using this solution in our organization.

We get our reports from, NetSuite, and we prepare resource forecast and finance dashboard reports in Microsoft BI.

We have many projects in the company. Some of them are self-service where they can connect on their own to local on-premises databases. Some of them are with big databases on the cloud, such as Azure SQL or Azure Synapse, and some of them are with local sources, such as Excel files, etc.

We have both deployments for Microsoft BI, cloud, and the on-premise. We are using SAP BI and Microsoft BI to augment the other.

The IT department has dashboards for reporting to the higher levels of management. The solution is deployed on a hybrid model: cloud-based and on-premise. We always get the latest version because we have the Enterprise Agreement with Microsoft.

We're using it for sales information and production information. Pushing a report into Power BI makes it easier to use and a little bit more powerful. We're using the most recent version of the solution.

A client used Power BI mainly for banking reports. Another client was working in the field of laboratories, and they requested Power BI for the analysis of laboratory-related data for COVID-19. There were also some use cases where we used predictive analytics or utilized the power of Power BI services in the cloud. It can be deployed on-premises and on the cloud.

The main use cases that we see for Power BI are financial reporting, network analysis, structured and unstructured reporting, and self-service. We have just recently completed a pilot phase of Power BI and Qlik Sense, evaluating them against each other. In this pilot, we have had about 50 users in our company use Power BI, but eventually we envision having up to 300 concurrent users.

We are using the product for some data tasks such as data binding and reporting. That's it.

We use Microsoft BI to fetch data from one server in SSMS to another server.

Our company is a manufacturing firm. We have an ERP running in our company. I develop the reports for the business that include sales, stock and production related information. These dashboards are used for analytics purposes by management, enabling them to make decisions regarding the products and business improvement. We use the BI text file and summarize the information on dashboards to help management make the right decisions for the business. The information includes production figures, running status, forecasts and actual positions. We have 10 users of this solution.

My company uses Microsoft BI's dashboards. We build them for the business and the operations team. We have four to five customers using this solution.

I am a Power BI technical senior developer and consultant and I use Power BI to provide solutions for my clients.

I am a reseller for Sage business solutions and will start to sell Microsoft BI. Microsoft BI is primarily used for sales, financial, and production reports.

I primarily use the solution for the reports. We use it a lot for self-reporting.

Currently, it is used in our financial reporting and financial consideration reports.

I work in fraud analytics in the insurance industry and use Power BI for broader and high-level reports. We also do some fraud detection, and our output is sent to a Power BI dashboard for various clients to see. It's basically our visualization tool organization-wide.

I mostly work in the oil and gas industry. Microsoft BI is primarily associated with surveillance, optimization, product, and forecasting-related items. While I am not currently using Microsoft BI, I have prior experience, and in my current position, I am guiding the team on a larger scale. I don't use it myself frequently, but I am the lead for that team, and when I do use it, I use it for reporting purposes.

We use this data visualization tool for the business to understand data in a graphical manner. It is similar to Tableau, a tool also used for data visualization. A tool like this is used mostly by the leadership team to make decisions.

We use Power BI in cloud solutions in other systems. There are lots of products in our environment that work with Power BI. One use case is we use it to track the real-time sensor data to Power BI using Azure. We have lots of customers. We make premium subscription projects for them. We have a Tableau portion. We are also Tableau partners and resellers. As a company, we make lots of Tableau projects.

We primarily use the solution internally and also on our websites.

We use Microsoft BI for dashboards and monitoring tools and dashboards. We mostly use it to produce charts and graphs for our customers.

I largely work with the engineering and R&D teams. Typically, the data insights and data teams use Power BI for business-related data visualization. However, for me and my customers, most of the tools like Power BI and Tableau are used to do data visualization for the engineering data. That could be even predicting the behavior of a machine, meantime between failure, or tracking of an IoT center data or even the behavior of the fleet management and things like that. In all the engineering use cases where we need data visualization, we use this product. We have 16,000 to 17,000 or more people who are trained in insights and data. This group uses all the data analytics tools, data visualization tools, BI tools, and all the other tools from a business use cases perspective. It could be market basket analysis, sales reports, and all those kinds of other business reporting.

We are a solution provider and Microsoft BI is one of the products that we implement for our customers. It is used for customized dashboarding, reporting, and self-serve analytics, on a broad scale in enterprise.

For the most part, clients require dashboards. We are developing quite a few dashboards for them.

We use Power BI for dashboards and various reports. It's primarily a visualization tool. We don't use it for business intelligence— just visualization.

We are implementing it for dashboard presentation. For example, one of our customers is in the energy sector. Another one is in the government sector, so it's dashboards mainly.

My primary uses of this solution are BI reporting using SQL server reporting, Power BI online reports, and BI dashboards. We connect to SQL server databases plus other sources, including data warehouses in the cloud and on-premise.

We are a solution provider and Microsoft BI is one of the products that we implement for our customers.

Currently, I'm working with an insurance company. Whenever they book any kind of policy, we have a certain rule where we have one predictive loss cost against that particular policy. For example, if you buy one pen, we can predict how much, if the pen got broken, how much premium you're going to pay for this particular pen. Based on that, we identify the risk area and we control the entire policy and the policy sourcing. This is the one interesting use case where we are basically controlling our entire government force.

I use this for its analysis service.

We use this as a data validation tool.

We are a consultant company so we use the many tools, just for our customers. However, we have professional services on, for example, Microsoft Power BI.

My primary use case is to turn data into analysis.

We have many use cases, from creating full ETL workloads for supporting some dashboards to only building dashboards by themselves. For example, there is one stage where we had to do some data integration from several sources to assess the quality of the data that we are consuming for our projects. We had to ingest data and convert it using Power BI, which is useful but isn't the best ETL tool, and I understand that that is not its purpose. Finally, we built out a schema model and built reports upon that. It's a full project. We also have another project, where we are attempting to do some incremental refresh because we are ingesting a lot of data from lake sources and SQL sources. We are doing direct query and applying some optimization from Synapse. I am currently using the latest version of Power BI.

I'm a call center consultant and I use Microsoft BI to receive in-depth metrics. I download the metrics from the contact center and then I can figure out what's going on in the contact center. Additionally, if we integrate it with other tools and databases, et cetera, we can receive a better understanding of what is happening. For example, we had a customer that made products for Costco and Walmart and if they had an engineering issue or a problem, they don't find out about it until they saw the orders from the engineering team explaining what the issue was. We added a screen to the agent's desktop and listed the model numbers of the products and then used Microsoft BI analytics to see what particular problem happened to what product. The executive could drill down and hear the calls as to what the customer was saying about the issue. The executives liked the data, the engineers liked hearing what the customers were saying about the certain product that had an issue.

We use it for data visualization.

In general Microsoft, BI is used to build dashboards, and the analyzing of data as well as some econometrics.

We are Microsoft resellers. We use it for clients to extract and analyze data from ERP systems. Then, we basically put it in on-premise Power BI, and once we have the reports and visuals that we want, we publish it to different members of whoever has access to see the reports. Basically, we publish it to their Power BI in the Cloud.

I am surveying and researching this solution, in order to provide it to my customer. Microsoft BI is used to create a dashboard or reports in the customer's environment. I implement Power BI on desktops for my customers to use for sales and financial analysis. The customer must purchase Power BI Pro from their company, and then they can use it.

We use Power BI for a variety of applications, including retail analytics, sales, and process digitization. Except for time series data, we use it for everything. We have both deployment options open, so we have the requirements for both on-prem as well as on the cloud.

The primary use cases for Microsoft BI are typical for business intelligence, including operational monitoring and KPI tracking.

We are using Microsoft BI ( /products/microsoft-bi-reviews ) to do analytics for tax and customs administration at the centralized level, in order to fight fiscal fraud and detect tax evasion

We use Microsoft BI in out data warehouse for analytics. We use it for many purposes.

The product can be used to get all business insights from connected data, for example, whatever is on our system, which we are using for our business solutions. All the data can be connected and it can give you actionable insights. There are also some AI capabilities.

My primary use case of Power BI is to generate dashboards and reports based on past data. Especially for people who aren't engineers, like purely business people, Power BI is helpful because it allows them to analyze and assess their complete business solutions end to end. Power BI provides insights that can help company growth, in terms of revenue and ROI. This solution is cloud-based.

We provide improved dashboards for our own customers by using Power BI.

We use Microsoft BI all over our enterprise but our main use is for the organizational dashboard. My organization sends all of our systems and ERP data into a Power BI dashboard, which goes to all the managers, the leadership, and then gets reported up to the company executives.

We use that solution to provide all the KPIs for the software development to manage the business, et cetera.

We are using Microsoft BI to generate point of sale reports.

The primary use case is to generate BI reports.

We use it for taking data and turning it into intelligence. I have been using the most recent version of it. It is deployed in a government cloud.

We built a BI system to provide clients with access to the data that we collect. They can access the data report and various reports by using Power BI. It is built into the Azure cloud. You can't deploy it otherwise.

The primary use case for Microsoft BI is reporting. It comes with the Microsoft 365 E5 license. Then you just need to secure and harden it. That took a bit of time, but you can open it up and let people use it after that. There is a desktop component that they can work on that's independent of the Microsoft license. In that case, they can create files that are like dashboards.

The data is captured by transaction processing systems, and even when the data is captured by a very sophisticated enterprise resource planning system, or ERP system, such as SAP. We'll find that that data is organized in a manner that is suited for the data updated. Therefore, when data has to be used for decision making, it has to be reoriented and organized in a manner that is suitable for data analysis and further for predictive analytics also. What we do is pull out data from multiple data sources, either on SAP or somewhere else. There could be a certain budget or plan or target-related data on some other platform or on a Microsoft Excel spreadsheet. The data is stored at different places. Some data could be on your internet platforms. Wherever it is, we pull out the data. Then we get that into the SQL server and we organize it in a manner that's suitable for further creation of dashboards and analytics applications, which can be used for better decision making.

It depends on what the client needs. I've got multiple use cases for Power BI. There's no single one that stands out. But generally speaking, my clients primarily use Power BI for financial and sales reporting.

In our sector, we're dealing with lots of FinDocs and routine FinDoc activities. So all these things are managed locally, with data coming from some secondary source. By that, I mean our in-house technicians provide a data service that is locally developed on our end, and we analyze data in Microsoft Power BI. We have about 10 to 12 users working with it.

Our primary use case of this product was for financial reporting and dashboard reporting. I'm a business development executive and our company is based in Belgium.

As a consultant, I propose something appropriate for my client companies. Mostly, it's some type of ERP, warehouse management, or BI software. It depends on the size of the companies and their requirements. Small and medium-sized businesses usually need some operations software to cover all the daily necessities. In most cases, I propose some local or regional software for ERP and warehouse management solutions. But for business intelligence and reporting, I typically go with a Microsoft solution.

We were using Microsoft BI but it could not do what we wanted it to do. Then we moved to an open-source platform, which was Apache Tika, Kafka, and third solution. We ended up moving back to Power BI only to display the information because displaying information with Power BI is better than open-source software. We are not using all aspects of the solution at the moment.

I have used the solution primarily for building models for different verticals. It doesn't matter which industry you are in. I do some modeling and presentations for clients in different verticals.

We are using Microsoft BI for various reports, such as overall cost management, credit overview, and sales.

I would describe myself as more of a casual user, only because I have so many other things that I have to get done. I wish I could be more of a user, but it's hard. Right now, I have two different main use cases. I use it for teaching. At another institution, I use it for demonstrating how easy it is to build dashboards. It was really to show to all my users the benefit of business analytics. I use it to demonstrate how easy it is to generate your own analytics versus having a department run reports for you then putting it in Excel and making graphs.

The use case for power BI is to generate dashboards for high-end management and operational dashboards.

It is one of the business intelligence tools we are using—mainly for all our data visualization purposes and building interactive dashboards. We use Microsoft Power BI to generate all different types of analytic reports. We move information from our data warehouse to a SSAS cube that we've built on top of all our dimensions. We also do a certain level of aggregation in the cube itself, which is then connected to Power BI.

The main use case is for dashboarding on Excel spreadsheets until data lake and similar sources are ready for us to start integrating and dashboarding that information. We are a government motor transport entity and for each vehicle, there's a lifecycle. At every step of that life cycle, we need to know how many of a particular type of vehicle we have in our fleet and its status. I'm an IT service and strategy consultant and we are customers of Microsoft BI.

I've used it for work I did with three clients in the Brazilian banking sector: Bank Bradesco, B&B Bank, and the Regional Bank of Brazil.

I used Microsoft BI to develop reports and then deployed them into Microsoft BI web.

We are using this solution for analytic dashboards.

I'm a project manager and we are customers of Microsoft.

The solution is basically used for data. It's on a proprietary piece of equipment on which we collect data. We look at impurities in molten metal, and it's a database and it keeps track of all the batches that we have through the furnace that we have. It tells when it's dirty and stuff like that. It's a large database that we keep track of the history of all the ingots that we run.

I used it to build a simple dashboard. What I did was very simple. I used it to load different datasets. I defined relationships between them and played around with the data by using visuals. I must have downloaded the version that was really available at that time.

I use Microsoft BI for the reports and our displaying the data in different ways. As a project manager, I need to follow the budget and receive confirmation about our projects. We have an SAP database and we follow and check all the budget data of the project including data usage.

We are software developers. We generate data using the basic data connectors that Microsoft provides. We just follow the importing and exporting data around, the Azure platform. We are doing C# development. We use an SQL server, and we use Power BI. Those are the main three technologies, and then it's just Microsoft to put it together. We use this solution to create business intelligence reports for the executive users of our applications. We are creating standard business applications like ERP and CRM and e-commerce type applications. Then, we extract a sample of the data, build a simple data warehouse, in the Power BI service, and create some BI reports.

We are using it for financial analytics and reporting. We are using it to keep a track of projects and being able to degrade the projects. We are also using it for contract closeout. My technical guy has been using the first version of it since it came out, but we are getting ready to upgrade to the newer version. It comes along in a bundle with the 365 Enterprise version. It is on the cloud. We're probably going to run a hybrid because we want to be able to move around. If anything happens or if needed, we can move from platform to platform.

I've been a consultant, so I've built some reports for some clients. I use and prefer its desktop version.

We use Microsoft BI primarily for analyzing data to construct indicators and dashboards. We use the information to better understand our business to make effective decisions about our business for the future, such as keeping competitive with other companies.

There were two systems that the client was looking at creating some BI visualizations for. There was the system called ICE, which is a system that takes in automated calls, for service calls. They go into voicemail, however, if there's not an agent to take the call, it'll track statistics like how long a client was on hold, if an agent actually took the call, if the person hung up, et cetera. There are all of these different statuses and it would take all of those statistics. The product was used primarily to take that data in that case. The other system was an ITSM system, which was the ticketing system. It would it was my first time using Power BI, I can say that it was fairly easy to learn, especially if you already know BI-type tools. But the one thing that I noticed specifically was the graphical features, and some of the analytical features, I think they were stronger on the Tableau side. But the data preparation features, I much preferred the Power BI with the Power Query type features, at least for the datasets that we were working with. They were helpful in preparing the data. combine those two data sets and reduce a merged analytical set of reports to just show when the call volumes were and what the performance rate was and the nature of the calls and things like that.

We use Microsoft BI typically to clean up data in Excel, as well as to create reports for my supervisor that will be analyzed and then used to draw conclusions.

I am using this solution to monitor the dashboards that someone else has created.

We primarily use the solution for analysis. I have a DB setup that I have. I use that DB for analyzing data, providing business solutions or business insights to the customers. Most of the time, I use Power BI for that or sometimes even Tableau.

I have used Microsoft BI for sales analysis. I've also used it to analyze people. Pretty much across the board, whether it's the number of people, number of dresses, number of hamburgers, number of widgets and then creating the dashboards and the metrics and so forth.

We primarily use the solution primarily for making dashboards. We are also doing analytics on Microsoft BI.

I mainly use it for sales analysis. We are in the telecom industry, so on a daily basis, we see a couple of trends in the number of activations of customers and registration, the performance of the dealer, and items like that.

We are using this solution to create dashboards and reports for business analytics. We are in the early stages of testing and we have yet to determine if we are going to continue using the solution. We have to fully evaluate the solution first.

We have a startup focused on analytics around sports and athletes' performance. The data sits in our platform called Hercules, which is exposed through an ODBC connector or API layer. We're currently building a connector to expose that data in a consumable way, inside Power BI (with one connector for Tableau as well).

We use this solution for our departmental reports, which are accessible from Microsoft Project Server and SharePoint.

We are using it for financial data, and comparison charts. 

I'm using the desktop version and collaborating within our company. As a training company we wish to analyze the instructions as they relate to our customers. Also, we take certain examples for our classrooms, our training.

I am using this solution for official purposes and for my personal needs. I use it to sort my documents.

We have some monitoring data from turbines, and we want to plot the data to monitor the health state of turbines in different time stamps. I tried to download some data from the Postgres database and then do some plotting with that. I also tried to link different plots with each other to filter them and things like that.

Microsoft BI can be used for business data visualization.

This solution can be used for enterprise reporting, ad hoc visualization, and statistical analysis.

We use it for management reporting.

We use this solution for dashboards and reporting. We work in manufacturing and we track any incidents that we have regarding safety.

We're a retail hospitality chain spread throughout India, operating over 330 outlets across the country in various formats, ranging from a coffee chain to fast food restaurants through our in-house bespoke brands. All these brands run out of travel hubs like airports, railway stations, and highways stops. We needed a solution to manage both the multiple SKU levels and in terms of individual dynamics, the profitability of each store. We constantly track the various types of back-end raw materials, specifically on our prediction modeling where we use Power BI. We also use Power BI analytics to drive those results with regard to the day-to-day dashboarding, reporting in terms of collection, on sales trends per hour, manpower and the like. We are customers of Microsoft and I'm the CIO.

We use it for reporting. We are using its latest version.

One of our primary use cases is to build an MSBA-based business intelligence solution for collection agents, so that they can receive daily information relating to bills in the form of ledgers. I've built several packages to import the data from where it has been dumped. I then created the data mask for data analysis to showcase all the outputs and conclusions. As a result, there is a clear breakdown of total collections, the different parameters, customer-based information, and other essential information. We are partners of Microsoft BI and I'm a solutions architect.

There are multiple use cases. I can't count them even on my fingers. There are around 20 to 30 solutions we have been deploying. We use it across finance, procurement, HR, engineering, and whatnot. Each of the domains we have touched. Data visualization is the main need of any organization. With Microsoft being in our ecosystem, Power BI works perfectly well for us.

I am using the solution for data analytics.

My team uses it. They majorly used to work on SSRS and SSIS.

It is used for data visualization and analytics. We have its latest version.

We use the solution for revenue forecasting and other predictive analytic reports based on specific requirements.

We use it for BI analytics. I am a data scientist, so I model data and show the data through dashboards using this tool.

We primarily use the solution across many company verticals and within every area of the company - including finance, accounting, operations, logistics, HR, et cetera.

Around 50% of our customers use this solution. We plan to extend our usage of this solution.

The solution is a dashboard. We have the on-premises data gateway, which allows us from the Azure Cloud to get into Power BI. The dataset content comes from the on-premise data warehouses. We have produced historical analytics and KPIs from ServiceNow for Incident management, performance, SLA coverage, trends, and identifying anomalies. Anomalies are, for example, if a ticket is reopened, that means it was closed incorrectly or the solution was not correct. If a ticket has been an incident or a request has been routed more than two times, that means somewhere in the processes it was not clear and the ticket is going in circles out to the anomalies data. A lot of analytics based on ServiceNow and Gyra as ITSMs systems. There is also combined analytics between Salesforce and for example, Web analytics, Google Analytics, and so on. Allowing us to see how visits to the website translate into lead opportunities. This is done by combining the two, extracting them and combining the two sources of data, such as Google Analytics and Salesforce.

We get a lot of chunks of data, especially production data and data based on education — performance-related data. We use BI to analyze the data so we can give feedback to our clients. If they're experiencing problems, we help them find trends, etc. Within our organization, there are roughly six or seven people using this solution.

I am currently using it for my professional and training use. I am using the Power BI Premium per user recent scheme announced by Microsoft. In my current company, we are using Tableau.

We are using it for analyzing transactions. In the products that we develop and supply to our customers, there are some applications that are connected to payments. We analyze the trend of transactions or payments that are done in our system by our clients. We want to understand how our clients are using our solution and if there are some conditions that are making them use our product more than others. We also analyze who is paying and how much, and how and at what time are they using our system.

It is for dashboards and reports.

We are using Power BI Premium at the moment. It is an online solution, which always has the latest version. It is for data visualization and data insights. BI means business intelligence, so it helps you understand the performance of your business better. It gives you deeper insight into the data so that you can draw meaningful conclusions from the data, and your decisions are based on data insights rather than a hunch.

We are using it for reporting ERP data, IT service data, financial data, and so on.

We are using it for reporting, analytics, and data science. We have its latest version.

We use Microsoft BI for analytics.

Our primary use cases for this product are monitoring and reporting. I have some dashboards for the sales department and a little bit for operations. I'm going to create a new dashboard for marketing.

We mostly use this solution for dashboards and reporting. There are roughly 2000 people in our office. At the least, 100 people use Power BI. We have around 10 super users who use it a lot. A lot of people just use it to look at dashboards. A lot of managers look at Power BI for their dashboards.

I have used the solution for analytics which is displayed on the dashboard for my client.

We primarily use the product for running the reports and all data extraction in our organization.

Our primary use case of this solution is as a reporting tool. We implement it for our clients. I'm a consultant in business intelligence and we are customers of Microsoft BI.

Enterprise reporting and digitization of dashboards using Microsoft Power BI, SSRS and Azure Reporting DB by integrating several applications to establish single version of truth.

I am a consultant for a big company. We deal with energy companies, petroleum, sales companies and we deal with everything from financials to operations. We deal with market strategy and we provide consultancy services - I'm a part owner of the company.

We primarily use the solution to run our industry reports. We get the data from data warehouse we are creating. I use it to export the data. We have been using Microsoft BI for one of the customers. That was completely in the customer environment. That's all. We did not have that solution for us in-house. However, we are working towards introducing it for our own purposes in the near future.

We primarily sell Power BI licenses. Mostly, we focus on the retail industry. Usually, we are using the Power BI reports for dashboards. We are also providing our customers with some data warehouse reporting. Basically, we do long-term categorization of stock and inventory numbers and sales figures so that they can compare the sales and stocks to the inventory numbers. We tend to deal with physical inventory reports. We tend not to deal with the solution for financial operations.

We primarily use the solution for building dashboards, one-off analytics, and things of that nature that combine data.

We use it mainly for Qlik Sense. We're using business interests analytics. Everyone from marketing to sales uses it. Microsoft BI is usually used for oversight.

I use Microsoft BI for my own projects that are related to integrating with Excel datasets. I use the visualization and graphing functions, and I have tried using the Python integration.

I lead the data visualization competency. As a competency leader, my responsibility is to make people grow in this technology. It could be Power BI, Tableau, or QlikView. We are service-oriented, and depending upon the demand, we have to have experienced people and a resource pool ready in these areas. Depending upon the requirement, I decide how many people need to be trained or hired.

We have integrated this solution into the software that we created for a client specifically for reports and data consumption. It is a hybrid infrastructure project with hybrid integration. It has a lot of reports executed or created from the cloud.

This solution is primarily used for business analytics. We generate reports so that the business analytics team can use them for their analysis.

We primarily use the solution for integrating into our ERP so people can have a dashboard analysis of whatever is important to analyze or compare, whether it be top-selling products or sales performance, or quota analysis.

I use Microsoft Power BI for analytics. It is an online service for business intelligence. I use it to analyze every piece of data that I have. My key performance indicators are on Power BI. My sales indicators, such as number of clients, number of sales and region, type of client, type of solution, due to date comparison, and due to year comparison, are really based on the sales of the company. I am using Power BI Pro.

We are an analytics company, and we consult for different companies. Currently, we were doing automation of financial reporting, income statements, balance sheets, cash flow, and different kinds of analysis on revenue and products. We extract data from ERP solutions, accounting data, and then we transform that into financial reports.

All our operational dashboards are on Microsoft BI. Visualization is primarily what we use Microsoft Power BI for today. We're in a position to explore all the underlying data. For example, your SLAs, how they're trending month on month, or how your backlog of tickets is going. We look at all the respondent resolution SLAs or different priorities every month. If there's a dip somewhere, we're able to double click and then go to the actual client or the ticket, which has caused a problem. You can go back and see if you need to do anything to recover from that situation. For example, if your SLA brings 25% and if you're dipping to 94%, go back and see why you're dipping. If there are, let's say, too many incidences from a specific technology or a specific client, go back and see what you need to do to fix those things. We're now looking to get to the next level with exploratory analytics. We want to go into what we call explanatory analytics, which analyzes the underlying data. Instead of waiting for something to fail, you come out and say, "Hey, these are some areas that are not working well, and you probably need to look at it." We're trying to use Microsoft BI and for what we call actionable insights. This tool should be able to build up and show you what the underlying data is telling you. For example, our affiliates may be trending at 95%, but since we run a shared service, there could be some clients where it's 100% and some clients where it's probably 85%. Those claims could lead to a client-side problem or a client satisfaction issue. Explanatory analytics can give you such exceptions automatically. Then you can go back and work on those clients to ensure that you pull your SLA back up from 85% to 95% and ensure that customer satisfaction doesn't dip.

We use Power BI to manage all business indicators. Our customers' files, operations, number of transactions, satisfaction levels, history. We have a very powerful dashboard we use in Power BI and all our customers use it. I use it to drill down data from customers, to make decisions regarding business and other things. We are Microsoft partners and I'm a board member of our company.

We use Microsoft BI on our portfolio management platform. We use live dashboards, in the public cloud.

We have a few projects. We're using the solution primarily to develop a modern sitemap.

I have taught and mastered many desktop tools, including Power BI, for the purpose of prototyping designs for business intelligence and data warehousing. Currently, I am teaching data analytics at graduate level and Power BI is on my schedule. We teach tools like Power BI by going through common scenarios in a business intelligence environment, which most often deal with the factual numerics that get designed into a sales force reporting dashboard or similar solution, showing details like order placement, orders shipped and paid for, etc. The templates for these typically use a style of diagramming called star schema, which is a common dimension modeling technique. I can't say whether it's the most frequent real-world use case that a real customer would focus on, but for the level of our tutorials, a sales scenario might involve a description of customers, products, locations, maybe geography, and the timing of sales for trends analysis. Other than Power BI, I also teach AWS and Azure, where I help guide students to plan and come up with architecture for deploying to the cloud. It's not actually very hands-on, as it's more to help with architecture diagramming for the intentions that students have when using them. And at our institution, all of our courses last only four weeks, so it's very fast tracked, which sometimes means that we don't really go too in-depth. AWS has a lot of samples and diagrams, including many graphics that are fairly artistically detailed. The level at which I've helped students reference those kinds of diagrams is mainly for their team projects, to illustrate their intention, for example, to deploy a database into AWS. If it's an SQL Server database, we usually choose Azure. But it's not to actually do it. It's rather to have the intention to, for illustration purposes.

We are a service provider and Microsoft BI is one of the tools that we implement for our clients. We do not use it ourselves. My primary use case is integration, but it is also used for reporting and data analysis services.

In general, we use it to have access to the data that we have processed from the HCM system and also to deploy it to the teams. Because it has low-level security features, I can guarantee that only selected people have access to the information seamlessly. We don't take a lot of steps to create, for example, different profiles and ensure the data security that I need. It is on the cloud because we have pro accounts. Usually, we have the desktop version for designing and using ourselves here, but when we deploy this, it is usually on the Microsoft cloud; it is not on-premises. We are using the most updated version because they release monthly updates.

I take care of business transformations in the company, which includes solution transformation, and so on. We have a range of products that are legacy products. They are fairly old. We are substituting them with new age products, and one of them is Power BI. We are using its latest version currently.

Microsoft BI can be useful for several scenarios, depending on your end audience, or what they're looking for. Depending on your creativity, imagination, and what the tool allows you to build, you can create a lot of cool things with it. You can build a lot of very elaborate and dynamic reports for example. The most important thing to consider is to understand what your audience is looking for. The development side of the tool is not the problem.

Usually, when dealing with business intelligence projects with big data, all customers have Office 365 but within these licenses, Microsoft BI is often included.

We use Microsoft BI for the visualization of data. We also hope to use it for machine learning as it's very powerful, but at the moment, we are trying to get authorized for reporting and analysis.

We primarily use Power BI for data science solutions.

We use this solution to analyze financial statements from our partners. We build dashboards to see information on a product that is offered by one of our local telcos.

I am currently a management consultant and, before my current employment, I was a management consultant as well. I also had a stint with an online retailer in India. My usage with Power BI has been in the area of practical day-to-day operations, web host operations, and equipment status monitoring.

It is mostly used for monthly cost reports for our department. We are also using it as a dashboard for giving some overview for management purposes. We are using the latest version.

Integrate information handled in silos, BI is a perfect tool for visualice different MS Excel sheets into a focus context for risk dashboards and operational information.

MS BI is our primary BI tool for entire company. We have a whole MS BI ecosystem: SSIS->Database/DW->SSAS->SSRS/Power BI. it is great and very cost effective.

We have SharePoint in our company and then we just wanted to visualize that list and it connects to the Check Point list.

Our primary use case is to learn what Power BI can do. We also use it to create dashboards and to see what is available for people to use. We see how it integrates with Excel. You can easily get the data into a visualization but also still have access to the underlying data. We use it see how we can move away from an Excel spreadsheet but still give the users the correct answers to the questions that they have. I want to move away looking and fixing issues on particular lines and be able to easily answer the questions with visualizations so users can answer the questions a lot quicker and adapt to changes easier.

Daily updated production indicators dashboard: We get production data (Number of pieces, downtime, and downtime reasons) from the shopfloor and input them on an Excel sheet.

Our primary use for this solution is geospatial analysis.

Our primary use is real-time & batch analytics on Postgres databases in combination with MS Excel.

Since we are a consulting company, our cases vary from customer to customer and from department to department, but mainly we have found two "standard" cases: Business users connecting to a DWH, or trying to consolidate several Excel workbooks to create business dashboards. In the DWH cases, it is simpler since most of the data transformations and modeling are done by IT, but in the 'spreadsheet world', it becomes more complicated. Users try to move from a huge table filled with numbers and "color-coded" cells to data visualizations, sometimes not even knowing how to write a simple Excel expression.

Power BI is a great tool for analytics. It is useful if you have a requirement to create a dashboard with self-service capability, along with KPIs, and you want to drill down to the data details.

I have developed and deployed more than twenty separate customer solutions. I am a Business Intelligence Deployment Specialist. The most significant implementation was to reduce the Financial consolidation time for one hundred and twenty companies into one shareholder report, from thirty days to four minutes.

The primary use case was mainly to create dashboards and present them for reporting purposes. We use Microsoft Power BI to create dashboards, provide insights, and use its various analytical and insight functions to send to either the departmental manager or the general manager of marketing and sales or retail ops.

We use this for data analysis and the creation of indicators. It is one of the most powerful tools for BI in my experience. It works very fast, is intuitive, and useful. You just drag and drop, as soon as you download it.

* Running a team to build end-to-end BI solutions for large enterprises. * Data typically stores in SQL Server. Some ad-hoc data pulled from SharePoint lists or Excel files. * Use of SSAS Tabular in some models. * Currently, no deployment of premium. A large deployment of PBI Pro. * We also use Tableau Desktop and on-prem server, but Power BI was a go-to product.

* Management BI/dashboard reporting * Quick sharing of data from source to business users which is very useful.

I primarily use this for creating dashboards and reports for the oil and gas industry.

My primary use case is for the performance, compared to MS Dynamics NAV, and flexibility in data and dashboard building.

It is a good platform for data analysis, organization, and all of the other interim performances that are necessary.

The primary use case for this solution is mirroring it to the dock so we can match up different parts of Office like Excel, Word, etc. and then we can clear it.