Microsoft Power BI Reviews

We have created the reports and are continuing to work on them. We are deploying them to the proxy, and the users are utilizing them for various business processes.

I work in Tableau or Tableau and Power BI. It can handle large data sets. You can just get the raw data. When it comes to Power BI, if you have to get the raw data and want to refresh it, the refresh at a point in time would degrade performance.

One of the key benefits of Power BI is how easy it is to develop reports. Even non-technical users can easily download the report and learn to include slicers and data filters once provided with a template. The platform is very user-friendly. Another advantage of Power BI is that if the report developer encounters any issues, they can quickly find solutions through Microsoft’s help resources. You can get your assistance by visiting the Microsoft support site or posting queries. This makes developing and delivering reports much easier. Microsoft Power BI provides much support and flexibility, making it a great tool for report generation.

It can integrate with different data sources. You can connect seamlessly to Databricks, SQL Data Warehouse, third-party sites, and multiple other sources.

We identified a couple of issues in the reports. Some reports took too long to load, particularly at the end of our data refresh. To address this, we optimized the data model using multiple tables, improving performance. Now, all reports are refreshing properly using DBP, and we’ve implemented these improvements in Power BI.

I have been using Microsoft Power BI for two years.

The availability of Power BI is excellent. Once a user is set up, they can easily access and work with the Power BI files from the repository. There are also various modes for adding features, allowing users to combine data in different ways to make informed business decisions. 

Based on business discussions, there are 25 to 100 business users. The users work with templates, and we collect UAT feedback from them.

The initial setup was straightforward. Based on the current requirements, I've been able to develop the reports independently. It's easy to use and allows for faster reporting.

Once we generate the reports, we schedule and publish them on the website and then share the process with the users.

We're able to refresh the Power BI reports and create data models to support the business at this stage.

I'm working with a company that manages detailed sales data for the clothing industry. We're tracking orders, brands, seasons, and which facility handled the order, along with audits. We're focusing on metrics like fabric consumption and fiber content for reporting. 

We can develop reports in Power BI, including RxTx reports. Many of the business teams are also using Power BI. For support, we use Slack to manage tickets and TableLab for some tasks. Power BI offers a trial version, and you can get a pro license at a relatively low cost, with users having access to AV accounts. The main advantages are that it’s easy to use and more affordable compared to other reporting tools.

Overall, I rate the solution an eight out of ten.

Dataverse is quite mature in terms of visualization. There are many interesting features for Power BI, such as role-level security, which allows you to control who sees what based on their roles. This is a cool feature, as you can separate reports depending on user departments or roles.

Real-time refresh is quite interesting and user-friendly, provided you have access to a gateway. It works well.

We have integrated it into the data warehouse.

It's not AI-driven. Although it has Copilot, which is in test mode, so it's not fully used.

Although there are many visualizations, most of them are paid separately because they have been developed by private developers. The visualizations that come off the shelf are quite few. 

You won't have very many common visualizations; you will have to download them from private developers, which come with their own limitations, or you have to pay.

I have been using it for more than three years. 

Stability is quite high. I haven't had any outages, so stability is also good. Maybe an eight or a nine.

I haven't had any issues with scalability. 

We are quite a big organization, and many of us use it without any issues. So far, I haven't had any hitches. I'll give it an eight out of ten. I haven't had an opportunity to use it in a very large organization, but for the number of users we have, it's been used without any issue.

If it's someone consuming the reporting, that could be over a thousand. But the people actually creating those reports are much fewer.

I personally use it daily. 

As a user, I haven't had any reason to contact them.

I have also used Tableau, but not to a very great extent. I have also used Oracle BI.

Power BI is more user-friendly and practical because it can democratize data. Anyone can use it, compared to other solutions that you might not be able to use unless you're in IT.

I would rate my experience with the initial setup a ten out of ten, with one being difficult and ten being easy. It is very easy and straightforward. 

We use it on the cloud, on 365.

It's saving a lot of time. You can submit some of the processing, so you spend less time on it.

The licensing can be complicated because there are so many options. Maybe they can make it a bit simpler to understand.

It's one of the solutions I've used and been happy with.

Overall, I would rate it a nine out of ten. I would recommend it. 

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.

Power BI significantly organized our KPIs, making them accessible for immediate business decisions, like analyzing profits or losses. 

For example, in supply chain management, Power BI provides well-organized KPI data and calculated measures that aid decision-makers. Unlike before, they don't have to wait for detailed data; they get well-defined KPIs and calculated measures that offer insights into the business, allowing them to make informed decisions regarding future strategies and properties.

Power BI's collaboration functionality improves teamwork in our organization. We had a lot of entries and a lot of people who were working with Power BI. It's been four years, and some new members have less experience. We all collaborate to share information and experience, which improves collaboration.

Power BI's ability to integrate any data source, whether it's a cloud database, Analysis Services, or another type, is incredibly valuable. It allows us to make the right data available for analysis. 

Additionally, the flexibility to enhance our dashboards with new charts found online further helps with our analytical capabilities.

I also like the feature of the Page Navigator in Power BI. The Page Navigator allows users to navigate through different pages on the dashboard simply by clicking on the desired page, and Power BI will automatically open that page. 

Additionally, Power BI offers interactions where I can decide what Slicer or chart can filter another. Not all sources can filter all the others, and not all filters can be applied universally. 

I've also found Bookmarks to be a valuable feature, allowing for control over what sources are affected or whether they are visible or invisible during any interaction in Power BI. 

The dashboard and reporting features are very effective in decision-making. They enable decision-makers to determine the next steps, such as analyzing profits and losses, evaluating supplier performance, including late fees, and managing purchase timings in relation to delivery and order dates.

Data integration is very useful in Power BI. It lets me collect data from many sources, especially with IT support. I get data from tools, databases, data warehouses, and data lakes. For example, I can get data from Oracle databases and SQL Server databases at the same time.

We combine this data into a single destination—either a table or a database. This lets us analyze the combined data and create visualizations. Ultimately, we can consolidate information like customer details from different solutions into a single table. We can also change data types, clean the data, and organize it effectively.

When I create measures, sometimes the error messages aren't clear. It makes me spend more time searching for solutions. I need the error messages to be more specific.

So, I would like clearer error messages when creating measures.

I've been working with Power BI since January 2020, so it's been four years.

It is very stable. I would rate the stability a ten out of ten. 

It works well for a large number of users. We have almost 15 to 20 end users. 

I would rate my experience with the initial setup a four out of ten, with one being difficult and ten being easy to set up.

It's difficult to set up. Sometimes, I need technical support to resolve issues.

We use it on-premises.

The deployment time varies. Sometimes it takes two days, and sometimes it takes two weeks. If the dashboard has a lot of KPIs, it will take more time. Also, if the data already exists as measures, it's less complicated.

It's accessible with some subscriptions. We have a lot of users that we can send dashboards to daily, and that would cost a lot of money otherwise. But setting up Power BI itself is not expensive.

I would definitely recommend using this solution. It's easy to use. It can get data from a lot of sources. It's user-friendly. It's easy to learn, and it's easy to search on the internet for information about it.

Overall, I would rate the solution a nine out of ten.

We use it specifically for pure data analysis. 

I like the speed of building a visual and the transformation feature where you can make changes to the data, and then revert back very fast. These features, where you make transformations and then delete that step when you don't need them, are some of the best.

Power BI's integration with other tools is very good. With Power BI, if there are other systems on the network, you can easily connect to anything like SQL Server, Oracle, Amazon, Salesforce, SAP...anything you can easily connect. I have not faced difficulties with that.

The real-time data refresh capabilities is one of the things I had issues with. The refresh sometimes doesn't really work very well because there are two ways of connecting: direct and import. 

When it's direct, it's refreshed, but then you have limitations. But when you import the data, I feel there is always a limitation in the refresh. It is kind of like a room for improvement for Microsoft Power BI to work more on these real-time data refresh capabilities.

Microsoft Power BI changes almost every month; make changes regularly. I sometimes even see features that disappear, change, and update. So, I'm not keeping up. They are already doing a lot of changes. They keep updating regularly.

I have been using it for six to seven years. 

It's quite stable. Power BI is very stable.

It is very scalable. Almost everyone in our company uses it. 

I personally use it daily. 

I don't usually deal with customer service and support. It's our technical team that deals with them, but I don't see them complaining.

I used Excel. Power BI can crunch the data faster, and you can build a dashboard nicer and faster. Building a visual in Power BI is always easier, quicker, and simpler than Excel. It's Excel on steroids. 

I used to use Excel pivot tables a lot, but with Power BI, it's faster. It's easier to play with the data. If I want to make a list or put some formulas and stuff, Excel is good. But if I want to visualize the data, crunch it properly, and build measures quickly, Power BI is better.

I would rate my experience with the initial setup an eight out of ten, with ten being easy and one being very difficult. 

It is deployed both on-premises and the cloud. 

The deployment time varies and depends on the company. Every company is different. Here, internally, we have Microsoft Power BI Cloud, so it's easy. 

But in the previous company, we did not have Microsoft Cloud. So, to install, we had to install Microsoft Reporting Server and then Power BI internally. That took quite a while. 

But if you have Microsoft Cloud in your company, that's easy. And it's quicker on the cloud than on-premises.

Maybe a third party helped with the deployment. 

Downloading Power BI Desktop is free. But when you want to use the cloud, this is where I think it's per user payment. I'm not really very familiar with the licensing because I think they have more than one level. 

But to use Power BI internally for yourself, it's free. You download it. It's a free application.

I would recommend Power BI to other people. Overall, I would rate it an eight out of ten. 

We use the solution to build business intelligence dashboards.

The solution's most valuable feature is the graphic representation.

The dynamic browsing tables could be better in Microsoft Power BI.

I have been using Microsoft Power BI for three years.

I have not faced any issues with the solution’s stability.

I rate the solution an eight out of ten for stability.

I am satisfied with the solution’s scalability. Our customers for Microsoft Power BI are enterprise businesses in the engineering sector.

I rate the solution’s scalability ten out of ten.

Microsoft Power BI is a simpler solution than Tableau.

The solution's initial setup is easy. The solution can be deployed in a few hours.

On a scale from one to ten, where one is difficult and ten is easy, I rate the solution's initial setup ten out of ten.

Microsoft Power BI is a comparable tool that provides very quick ROI, and it's as good as or better than other products like QlikView or Tableau.

Microsoft Power BI is not an expensive solution. The solution’s pricing is reasonable.

The solution's real-time data processing feature benefits our organization because most managers want to have real-time data compilations. They want to integrate SQL and expect the data to be current. Different clients have different environments. Sometimes, the tool is deployed on the local server, and sometimes in the cloud.

Microsoft Power BI is worth trying because it's very popular and easily adopted by organizations. It's easier to adopt than third-party products. Microsoft Power BI provides good graphical overviews, good graphic preparation of data, good integration with SQL, and good data integration.

Overall, I rate the solution an eight out of ten.

My company, we work as consultants. We help set up the environment for our customers. We do the initial setup for the customers so that they can use it. 

To a certain extent, we also set up dashboards and workplaces within Power BI for customers and run automation.

Our customers are mostly in security, finance, and some marketing companies.

The dashboards are valuable. We use them to help customers who are scattered across multiple countries. We can scope the access and information so that only relevant parties have visibility to what is relevant to their environment.

I haven't used real-time data processing much. It's more about the dashboards, where we play around. We work on Microsoft 365 and Azure and populate the dashboards with that information. Then, the dashboards are published to the end users so they can view relevant information.

The AI support is really good. We have plans to use the AI mechanisms and algorithms that Power BI uses to publish more easy-to-understand reports for our customers. We don't have to start things from scratch when we have metadata via AI. It integrates with the existing Power BI system and pulls up the data. It feels like they are being more open so that the data can be easily readable, and then using AI, it can be published in a better way.

The only issue is with permissions. Sometimes, despite granting granular permissions, dashboards are visible to people who shouldn't have access. It's difficult to understand why the permissions slip out.

Sometimes dashboards are visible to stakeholders even though they should not have permission. It's a bit difficult to understand why the permissions slip out.

The dashboards lack a user-friendly appearance, and the permissions should be easier to understand. At this point, we have to go through a lot of details. It takes a lot of time to understand the permissions, so if there were better options available within the Power BI setup, it would be quite beneficial, especially for admins.

So, there should be a more user-friendly dashboard appearance and easier-to-understand permissions.

I have been working with Power BI for two years. 

It is quite stable. I would rate the stability a nine out of ten. I haven't heard any complaints from our customers. 

I would rate the scalability an eight out of ten. It still needs some more things within the system.

Our customers are mostly medium and enterprise businesses. 

The support has been good. It takes time for them to respond, but when they do, they are helpful. I would give it an eight.

Positive

The initial setup is easy. It's quite easy. Not that complicated. You just need the license, and then you're done.

I would rate my experience with the initial setup a nine out of ten, with ten being easy. 

It takes a couple of hours, four hours to eight hours. 

We are the integrators.

It did positively impact ROI. From a time perspective, at least four to six hours are saved because a lot of manual work is eliminated. Things are easily available, so people can do their work more efficiently.

When you have more number of users, like we have one customer with 200,000, it's a bit expensive. But I feel it's reasonable for small-scale customers.

I would recommend exploring it. A lot of features are available within Power BI. People complain that they want this or that, but everything is there. Explore it more, read through the documentation, and that would be helpful.

Overall, I would rate it a nine out of ten. 

We have a lot of data, which we process and analyze using Python. Once the data is processed, we feed it into Power BI. In Power BI, we build dashboards and visualizations. Our team or customers can then view these dashboards.

Data visualization is crucial because while some people understand data, many find raw numbers or text difficult to interpret. Visualization makes patterns and insights clearer and easier to understand. Tools like Microsoft Power BI and Tableau are excellent for creating these visualizations, helping users grasp better and analyze large datasets.

For example, the variety of chart types available in Power BI is somewhat limited. While you can choose from various charts like dial gauges, bar charts, and line charts, there aren't as many diverse options as you might need. Sometimes, you might look for additional chart types and find that they're not available for download from the Internet.

Another area for improvement is data refresh functionality. Even with a premium license, the refresh rate is limited to every 30 minutes. This can be restrictive if you need more frequent updates, such as every 10 or 15 minutes, or at specific times, like every Monday at 4:25 PM. The current options are typically every hour, every 30 minutes, or daily. This limitation can lead to inefficient resource use if your data only needs to be refreshed at specific times.

I have been using Microsoft Power BI for four years.

Initially, Microsoft Power BI can be quite complex. The Microsoft website does not always provide clear guidance, so you might need to watch numerous YouTube tutorials. The initial setup can be challenging, but using Power BI becomes much easier once you become familiar with the process.

Once you use Power BI, you must install or subscribe to the software and spend time exploring and working with your data. Becoming fully proficient and deploying your solutions effectively may take a few months.

ROI is really great.

Power BI pricing is generally considered more affordable than Tableau. There is a free version available for Power BI, and the Pro version costs around $20 per user per month. In contrast, Tableau's pricing can be higher, with a Creator license costing around $70 per user per month.

Compared to Tableau, Power BI is considered more affordable. While Tableau is often seen as more versatile and professional, making it suitable for advanced and complex data visualization needs, Power BI is a more accessible option for beginners or organizations starting with data visualization.

Microsoft Power BI is a user-friendly tool for creating dashboards and visualizations. It allows you to easily import data from Microsoft Excel or CSV files, which are common data storage formats. Once your data is imported into Power BI, you can create a variety of visualizations, including line charts, bar charts, and gauges, to present it effectively.

Many people turn to resources like Google searches and YouTube tutorials to learn how to use Power BI. Microsoft also offers extensive learning materials.

Power BI has some AI capabilities, but it's primarily a tool for data visualization. For more advanced AI and machine learning tasks, such as those involving neural networks or complex algorithms, many data scientists prefer to use Python and integrate their results into Power BI for visualization.

Overall, I rate the solution a seven out of ten.

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

While it hasn't significantly enhanced collaboration, it has greatly improved our reporting capabilities. It allows us to present visually appealing dashboards to management.

Our main focus with Power BI is dashboarding rather than collaboration.

Power BI makes it easy to visualize our data through dashboards. It is quite dynamic. We can easily modify views based on our requirements, which helps us see the data more clearly and makes it visually appealing for management.

Moreover, the integration of Power BI with other Microsoft products is quite easy. 

There are certain features that are only available in the cloud version. It would be beneficial if they could be brought down to the on-premise version without the necessity of using the enterprise SQL database, as that can be very costly. We need more cost-effective features that are available in the cloud to be accessible on-premise.

We've been using Microsoft Power BI for about three years now.

It is a stable product for me. I would rate the stability an eight out of ten. There are less than ten end users in my company using this solution. 

I would rate the scalability an eight out of ten.

The customer service and support are okay.

Positive

We're essentially a Microsoft house. We use a wide range of Microsoft products and are very happy with them. So far, we have no plans to switch, as we haven't found alternatives for essentials like Office or Windows.

Azure DevOps is something we're starting to explore to enhance our desktops. We also work with Microsoft Dynamics, DPM, Hyper-V, and Microsoft Exchange.

Cost was a decisive factor when opting for Power BI. 

I would rate my experience with the initial setup an eight out of ten, with ten being easy to set up. 

The deployment process took one to two days. 

I would rate the pricing an eight out of ten, with one being cheap and ten being expensive. 

I would recommend it, especially the Pro or Premium versions. They are better.

Overall, I would rate the solution a seven out of ten.