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.
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.
It's easy to develop custom solutions. The DAX scripting solution of Power BI is easy to use and covers a lot of needs.
It's user-friendly. It also has the capacity to connect to a variety of data sources without any other solution – especially within the Microsoft environment- which is very easy.
For us, it's difficult to manage business data and visualize and model it without Power BI or a similar tool. Although, I am more comfortable using Power BI than any other tool. Data modeling is one of the most important features of Power BI because you can model almost anything. For me, it is very helpful.
I haven't personally faced challenges with Power BI, but it might be challenging when it comes to big data usage. I haven't had a real challenge yet - maybe it could become challenging due to a lack of information or skills to use Power BI at a more advanced level.
So, the product could be complex for inexperienced users. It's very complex and you need to keep up with the updates. Otherwise, you can miss a lot of nice features that can be useful in your daily work.
I'm looking for something that can make it much easier to incorporate Power BI visuals or dashboards into, let's say, Power Apps – custom Power Apps or anything like that.
The most important thing would be to seamlessly embed reports in applications. For example, to have buttons that can be navigated through multiple solutions – from Power Apps to Power BI to SharePoint – via links or something like that.
If this transition is more natural (so users don't notice they're moving between solutions), it will be very helpful in developing complex solutions without sophisticated workarounds or lots of code.
Staying within the low-code area, there's a lot of potential for interesting things. This is my main focus – developing low-code solutions that integrate with Power BI.
I work with Microsoft's entire suite of products.
I have been using Power BI for more than five years.
I haven't had major issues because my usage is at a medium level, not a high level. I haven't personally interacted with Microsoft support. But, there seems to be a lot of information and people using this solution, and it's easy to escalate problems within your company. You can learn a lot of things quickly using resources like ChatGPT or Microsoft's own solutions, which are very helpful within the Microsoft ecosystem.
I used MicroStrategy. It's very nice, and similar, but a bit more difficult to connect to other systems. You need more technical skills. With Power BI, those connections are easier. I am not obliged to learn a lot of technical aspects.
For me, Power BI is a very good option. If you're in the Microsoft ecosystem, working with people who use Microsoft solutions, Power BI makes sense. It might be a bit more difficult if you're in a different ecosystem – companies tend to promote their own technologies for upsells and cross-sells. It's a sales thing.
Price is the best feature of Power BI! You get a lot of value for the price. If you know how to use it, it's a great BI solution for your money.
A complete solution license is no more than fifty euros per month – that's not expensive at all. Even thirty euros per month is enough to have Power BI, Power Apps, SharePoint solutions, and things like that. Very, very cheap.
Overall, I would rate the solution a nine out of ten.
I would definitely recommend using this solution. Power BI offers very good value for money. You do need some skills, but not necessarily deep technical ones.
It's more important to understand the business context and how to design effective reports in order to put Power BI and connected solutions from the Power Platform to best use.
My view is that we often overemphasize the technology and miss the true asset: the value that Power BI and the others bring to the business.
I've been using it for financial data.
Flexibility and usefulness of the data.
Trend data and dashboards need improvement.
I have been using Microsoft Power BI for some time.
The stability is a seven out of ten.
The initial setup is straightforward.
Overall, I would rate the solution a seven out of ten.
I use the solution to generate analytics reports for most of the projects we are engaged in within our company.
Some controls and integration capabilities of the product require configurations with the help of NoSQL databases, as it is one area where the product has certain shortcomings.
At times, I feel that the system needs improvement in single sign-on, especially for the on-premises side of the tool.
At times, I see the product freeze in unexpected areas. Unknown exceptions appear in the tool for no reason. One problem with the tool arises from the fact that it does way too much monitoring, impacting areas like reports and performance. The aforementioned areas can be improved in the product.
The tool should provide cloud support to help users deal with problems related to the frozen servers.
I have been using Microsoft Power BI for five years. My company has a partnership with Microsoft.
It is a stable solution. Stability-wise, I rate the solution an eight out of ten.
Scalability-wise, I rate the solution a nine out of ten.
Around 100 people in my company use the product. Most of the product's users are managers in my company.
The problematic licensing part of the product influences my company's decision on whether to increase the use of the product.
I haven't seen any major problems when dealing with the product's support team. The product's support team is friendly, but I think there are problems in Microsoft's internal communication since a problem gets distributed between multiple internal teams.
The product's initial setup phase has no problems unless we choose to have it integrated on an on-premises model and not on a cloud version.
Most of the product deployments are carried out manually by our company.
My company opens reports and publishes the report files for the projects being handled. My company gives required permission for other users to access the reports.
The solution is deployed on an on-premises model.
The solution's deployment process is simple to handle, but problems appear in the area of domains, considering that Microsoft Power BI manages the configuration part.
My company needs to make monthly payments towards the licensing costs attached to the product. Considering my company's turnover, we need a tool that offers more flexibility and allows us to increase or decrease the solution in our environment.
Tableau offers more flexibility in service compared to Microsoft Power BI. Microsoft Power BI is simple to use compared to Tableau.
Microsoft Power BI has improved our company's data analysis and visualization tasks since it helps simplify our work. My company is able to generate data analysis and easily deal with visualization tasks.
The most valuable feature of Microsoft Power BI for data storytelling stems from the integration with different types of products along with the support option it provides to help integrate with other tools. Caching in Microsoft Power BI would improve the organization's performance.
Microsoft Power BI's Q&A feature impacted our company's data exploration efforts since it is an area used by many types of users, including those involved in management and analytics, as it helps with cross-filtering.
The product's real-time dashboard and data refreshing capabilities are good, but it freezes without showing any status during the data retrieval if the volume is high.
It is not possible to use the product's in-depth features since it requires many controls and user interfaces.
The product is mainly for managers who want to track work details.
I rate the overall tool an eight out of ten.
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.
Power BI helped me to improve the decision-making process. It was particularly useful when I had data in a table, and I was able to use it as a dashboard with filters for better insights.
The sharing features are vital, especially the ability to share and test different shared dashboards.
It's quite manageable and easy to learn. It took me about a month to learn how to use it effectively.
Better mapping capabilities and easier administration access would be beneficial, especially for understanding who has viewed reports.
I have been using it for a year.
It is a stable product. I would rate the stability an eight out of ten.
It is a scalable product but it could be improved to better suit the overall size of projects.
I would rate the scalability a seven out of ten.
There are around 50 end users in my organization. We plan to increase the further usage.
The customer service and support are not as easy to access as I'd like. I don't often find a direct portal to support. I end up looking up the internet. I would rate it one out of ten, but I would put it a five out of ten.
I have to go and look up the internet. I sometimes just bring in expertise. I would prefer some tech support instead of bringing in someone else.
I have to run a case. I want to have something easy and readily accessible. There is good stuff on the website, but it would be better if I could easily ring somebody.
Neutral
I've used Tableau, but now we primarily use Power BI.
Each has its advantages, but Power BI supports our needs effectively.
I would rate my experience with the initial setup an eight out of ten, with ten being easy to set up.
We use it on the cloud. For us, deployment took six months.
The pricing is reasonable, at about 6.3 euros per user per month.
I'd recommend it for its features and cost-effectiveness. I find this product pretty okay. It works well for me.
Overall, I would rate the solution an eight out of ten.
We use the tool for data analysis and reporting through dashboarding, identifying trends, and mapping.
The product is intuitive and user-friendly. It could be rolled out to anyone across the business. DAX is a good feature. The real-time dashboard updates are good. The ease of integration is good. We connect it to different databases. The clients we work with work on different databases. It is easy to manage and share Power BI reports across different teams and departments.
The solution struggles with large amounts of data. It has some limitations. Sometimes, we don't know if we have the full picture.
I have been using the solution for four years.
I rate the tool’s stability a ten out of ten. I haven't come across any issues.
I rate the tool’s scalability an eight out of ten.
The deployment is not difficult. It is relatively easy to maintain the product. For our needs, we need one person to maintain the tool.
I have used MicroStrategy. Power BI is more user-friendly. When we roll it across the business, it's easier for the users to use. MicroStrategy can handle large amounts of data.
Overall, I rate the product an eight out of ten.
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'm working with a law firm that has hundreds of professionals working across various areas for different clients. They struggle to accurately track hours worked per client and compare profitability. With Power BI, I can integrate data from their ERP systems and create insightful reports. These reports not only show the hours worked per client but also compare profitability between clients and highlight KPIs. By providing clear and actionable insights, Power BI helps the firm make informed decisions quickly, leading to improved profitability and efficiency.
The most valuable feature of Power BI is its ability to provide customized visualizations and insights tailored to specific business needs. By offering a range of visualization options and customization capabilities, Power BI enables users to quickly analyze data and gain actionable insights. Depending on the preferences and requirements of the customer, different visualization styles can be utilized, from simple and standardized views to more colorful and dynamic charts and graphs.
Areas of Power BI that could be improved are the learning curve for developers who come from non-technical backgrounds. While Power BI is a powerful tool, mastering its development aspects, including coding and formulas, can be challenging for those without a technical background. Additionally, some users find the default visualizations in Power BI Desktop to be outdated and prefer more modern and customizable options.
One additional feature I would like to see in Power BI is tighter integration with Power Apps. This would allow for easier development without extensive coding, making it more accessible for users who aren't familiar with technical aspects like JSON files or Visual Studio Code. Simplifying the development process would streamline workflow and enhance overall usability.
I have been working with Microsoft Power BI since 2016.
I would rate the stability of Power BI at around nine out of ten. It has been consistently reliable over the past year, and any bugs are quickly addressed by a supportive community.
Power BI is scalable, but its scalability depends on factors like the amount of data, infrastructure, and database type. For large BI data, other tools might be more suitable. However, Power BI offers great flexibility, and its scalability varies based on specific needs and circumstances.
The technical support for Power BI is generally good, but it can be limited in handling diverse customer needs. While Microsoft technicians are highly knowledgeable, they may provide standard solutions based on their expertise, which might not cover all possible scenarios. Finding solutions often requires additional research, practice, and exploration of community resources. Overall, I would rate the support at a nine out of ten.
Positive
Deploying Power BI isn't difficult, but it requires time and experience. With regular updates and new features from Microsoft, staying current and understanding changes can be a continuous learning process. While it is manageable with experience, teaching someone from scratch would require significant time and effort.
The price of Power BI is very good. It is reasonable.
Power BI has revolutionized our reporting and decision-making processes. Instead of spending hours manually working with static data in Excel, we now have dynamic information at our fingertips. With Power BI, we can quickly make queries, access answers, and generate reports in minutes. By efficiently extracting data from databases and creating visually appealing visuals, such as KPI dashboards, Power BI enables us to identify trends, compare data, and make informed decisions promptly. It streamlines the entire process, from data extraction to visualization, saving us time and providing valuable insights for effective decision-making.
My advice for someone looking to use Power BI would be to start with the Pro license, as it is usually sufficient for most users. If you are dealing with a large number of customers, consider consulting with a Microsoft partner to find the best licensing solution. Based on my experience, I would recommend Power BI to others. Overall, I would rate the product as a nine out of ten.
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.
It is really flexible. The charts and reports are really nice. You have the flexibility of self-service.
It is not yet ready for enterprises. For a big enterprise data model, it is not so stable, and it also doesn't scale so well.
I am not really satisfied with their support. Their support should be faster. They should also be more knowledgeable.
I have been using this solution for two and a half years.
It depends. It is not really for enterprises. Even though Microsoft is trying, it isn't yet ready for enterprise use. For self-service, it is pretty fine. If you don't have a huge data set, it is quite stable.
If you try to have a big enterprise data model, it doesn't scale so well. You wouldn't get results similar to some of the other on-premises tools.
In terms of its users, I don't know the exact number, but we have about 10,000 to 20,000 users. Its usage is increasing.
I have contacted them a lot of times. I am not really satisfied with their support. Lately, it has become even worse. They are probably overloaded, and it takes really long. Many times, they just say, "That's how it works." In reality, it is a bug.
Many times, their first-level support doesn't understand what the problem is, and they don't reach out to the proper people to get into the issue. It is not really good.
We have been using different tools, such as QlikView, on-premises OBIEE, Tableau, Excel, etc. We are trying to migrate almost everyone to Power BI. So, eventually, we will have only Power BI. Its usage is growing.
It is really easy. It is mostly automated. You simply publish the dataset.
It doesn't take too long. It takes about 5 to 10 minutes.
I'm a part of the team that manages all the projects that are done with Power BI within the company. We guide them and help them with the development and all the architecture.
The number of people required depends on the size of the project. For one of the big projects we have, there are a couple of developers. There is one person for the management of Power BI. We also have 10 to 12 people doing the reports, etc.
We have premium licenses, but you can use it for free. You can share the content with anyone else, so you can use it for free.
I would recommend it, but if you want to use it enterprise-wide, you need to be really careful because you might face problems. In general, it's really a great tool. For self-service, it is more than okay, but when you try to use it enterprise-wide, it doesn't really work well.
Overall, I would rate it a seven out of 10.
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.
It helps in automating the process of filling the data or refreshing the data to give you timely calculations for all the aspects of the dashboards that you have built. You can easily see all the real-time data with Power BI.
The good part of it is that you can do whatever you want with it when it comes to building BI. In terms of languages, it supports Python, and it also natively supports R.
You can integrate it with the cloud. On the desktop level, you just install the desktop installer, which is about a hundred megabytes or something like that, and it connects to the cloud. So, on the desktop, you can utilize the cloud power for AI and machine learning to help you with predictive analytics.
Most of the dashboarding tools have prebuilt graphs. So, you have to stick with them, unless you are going to use a third-party tool to create them, and then you are going to upload them to the BI tool. In Power BI, they started supporting this functionality and created a tool for that, but it isn't yet complete and mature. It is still exceeding the expectations and is better than most of the BI tools when it comes to creating custom graphs, but it needs more enhancement and simplification. It would be good to have a design tool provided by Power BI to design the graphs that we want and set the figures that we want on them.
I have been using this solution for six years.
It is stable. Solving dashboard issues on other products, such as Oracle, took us a lot of time, whereas solving issues in Power BI was so simple. The language they're using is also easy. In Power BI, you use the DAX language, which is derived from Excel. So, anyone who knows how to write Excel code would know how to deal with Power BI. It is going to be so simple.
The cloud version is scalable.
It is super easy to set up. I've been giving training on this to new employees, and they quickly learn how to work with the whole product. It doesn't take them more than one or two sessions.
The installation of Power BI Desktop on a computer takes a maximum of 10 minutes. You just have to install it on the computer, and that's it. Most of the services are over the cloud. When you do the subscription, you just connect or sign in with your company email address that has been registered, and that's it.
The on-premises version requires extra staff. It requires an engineer who knows how to implement AI algorithms and then connect them to the offline Power BI solution.
Power BI is subscription-based, and you have three options. The Pro edition, which is the standard one, is about $9 per user. The Premium edition, which provides AI and cloud capabilities but at a limited size, is for small to medium enterprises. It is about $20 per user. For large enterprises, such as manufacturing facilities, there is an option for the capacity. The capacity subscription is about $4,000 per capacity level.
They also have an option for the on-premises version, but it is not common to see someone going for the on-premises version. The on-premises version requires a specific license that is attached to SQL Server. I believe it is about $17,000, but I'm not sure about it.
It has an on-premises version as well as a cloud version. I usually recommend people to work with the cloud version. In the on-premises version, if they want it to go with the artificial intelligence part, they are going to require engineers to configure it, whereas it is already there in the cloud version. It is already configured and affordable. The cloud version costs between $9 to $20 per user, which makes it very affordable, and you also have the capacity option, which costs about $4,000 per month per capacity. The capacity option is usually for huge enterprises. Regular companies, even banks, can work efficiently with the cheapest option, which is $9 to $20 per user.
After working with Power BI, I would rate it an eight out of 10. There is huge competition in the market when it comes to BI tools, and there are fractional differences between Power BI and some of its competitors.
