Microsoft Power BI Reviews

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.  

Power BI has a unique set of APIs to connect different databases on different systems. It means that I can extract data from a variety of sources and systems. It's very flexible. I work with numerous systems. We have new systems, super fast systems, and I have very old systems that run very well. They don't need updating because they run so well. Power BI has the power to connect with different sources, and I have a data scientist that orchestrates all that data because it's also about understanding the data, the application of intelligence and strategy on the data, and exposing it on the dashboard. 

I think that they should improve the mobile application that they have, it's very poor. We generally have a very huge area to cover, to move blocks and data. But sometimes I need a small set of data that I can see in my personal iPhone. But the iPhone solution, and the solution from any smartphone, tablet, etc., is so limited. It's particularly important now when so many people are working from home. Sometimes I need to reply to a call from my support or customer teams, they might be asking for a concession for a customer. I want to be able to look at the data on that customer. I take out my phone and I have no data. It's the worst. I think that if they improve the mobile solutions, it would help me and my team. 

I've been using this solution for five years. 

The stability of the product is very good. Microsoft solutions are very reliable. They're very mature and deliver reliable solutions. 

The scalability is good and powerful. Everyone in the company uses Microsoft tools, predictive tools. Microsoft 365, Power BI, SharePoint, Teams, Word, PowerPoint.

Technical support is a challenge, it's a complex question. Microsoft has different levels of support, it's all very customized. Different kinds and sizes of companies require different levels of support. The support is strong but it comes at a price. It's their business model. I can buy a number of hours from a specialist and get a real-time response.

The initial setup is quite complex and not easy to manage. You need a data scientist. It's not only connected to a data source, it's not only connected to an Excel sheet. For basic use that's okay but for corporate use to extract major features from the solution, you need a data scientist. It's expensive but a necessity and it's a very good investment for companies, because the data scientist enables the company to make better decisions and to help improve customer satisfaction.

It's very important to have a very good data scientist, without that it's very difficult. It's a key requirement. I'm only unhappy with the Windows software. I'm a Mac user for over 20 years, and, in comparison, Windows is bad. For us, SAP, Oracle, Salesforce, IBM are not affordable. They're interested in larger companies. In the last few years, Microsoft seems to be happier to go for the smaller companies too.

I would rate this solution a nine out of 10. 

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

We only use it for export and import, but that suits our purpose, along with the dashboards.

The upgrade process could be improved. Sometimes we miss information if we haven't kept up with the versions. It should be easy to migrate, but it does not provide enough information about what may be lost if you upgrade, especially if something goes wrong with the upgrade. Any current developments should be included in the upgrade so that it is a seamless process.

We have been using Microsoft BI for about 4 years. We use the latest version, and we have 4 users.

Very good. We don't have any issue regarding the stability of the solution.

The scalability is good.

You can find everything on their website. We rarely need to contact Microsoft directly, so I would rate Microsoft support for Microsoft BI as excellent.

Our setup is very straight forward and can be done in a matter of hours.

You have to know what you want to accomplish, meaning that you have to know why you are using the solution, what kind of information you want to show in that solution and the location of the data. I would rate this solution 9 out of 10.

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

The product has a very defined, well-prescribed format to it. It's easy for everyone to use for the most part.

The training is pretty good. It's well-described so that users can navigate the solution easily and follow the correct steps to initiate tasks effectively.

The user interface is pretty good.

The technical support on offer is excellent.

We've found the scalability to be quite good.

The solution's initial setup isn't too complicated.

I need more time with the solution. Right now, I can't think of any features that are missing from the product.

The integration with other solutions could be improved for reporting aspects. There are some reporting features in Tableau that we need access to and it would be ideal if there was a function between the two for data integration and data manipulation, with the final representation of the report available on Tableau.

I've been using the solution for a year or more at this point. It hasn't been too long.

So far, the solution has been largely stable. However, I'm still exploring the solution and testing it against my requirements. The stability hasn't quite been proven fully just yet.

The solution is pretty scalable. It meets all of my client's requirements. I'm able to make changes and expand if I need to. It's pretty simple to scale it out as necessary.

We deal, for the most part, with medium-sized companies. We don't really deal with smaller organizations or bigger enterprises.

I'm extremely satisfied with technical support. It's been excellent so far. They are responsive and knowledgeable and I always get my questions answered in a timely manner. I have no complaints about their level of service.

I've also worked with Tableau and SAP products. We use them all currently.

The initial setup is not complex in any way. It's quite straightforward. It was installed quite easily onto our system. We didn't run into any issues in that sense.

I'm using the calculator version of the solution.

We use both the cloud and on-premises deployment models.

We are Microsoft partners. We're not just users.

Overall, I would recommend the solution. We do have other plans to use other BI solutions, however, we haven't really focused on that just yet. So far, this product has met our needs pretty well.

On a scale from one to ten, I'd rate the solution at a nine. We've largely been happy with the product and its offering.

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.

I had a brilliant student in May last year, 2019, who did her graduate capstone project - where I was her advisor - using Power BI. And she has two times now responded to my invitation to be a guest speaker on that tool to classes such as the data analytics class that I've been teaching for about 20 times now, going back six years.

At my institution, I'm the only one teaching database design, whether undergrad or grad, and I found Power BI was a very attractive tool to introduce during the database design class, and then later enable the students to use it for their capstone. Unfortunately, it didn't work out in November this year, because few of the students picked up on it and gave the actual time it would take to focus their attention on using Power BI templates.

Overall, my observation is that the enrollment is way down and the students who are still in the program are very distracted, I think because of the pandemic. Despite this, Power BI has helped me introduce students to business intelligence and data analytics because it's a very attractive and cost-effective tool (there's no cost to it, it's free).

Another reason I'm inspired to focus my time on helping students with Power BI is because of the analyses done by the Gartner Group and Forrester Research, wherein they reviewed the strengths of Power BI. Both of them call it a "killer app". That caught my attention. And Power BI seems like the best thing to suggest to the students.

And I'm up to it on my side teaching through online, although I'm regretting that I cannot go on a campus to be still there for the students whose strong preference is to be together in a room learning on site. I hope that in the class in May, there'll be more people really interested in actually using it. In November, I was hoping some of the students would, but for reasons such as the pandemic, these online students have too many distractions. Especially if they're also still working or they have families with kids at home.

What Power BI is, is a whole collection of templates of small amounts of data that can be used to do something for a real world project, that can be easily set up and become the business intelligence environment or a data warehouse for a large amount of data, for a real world customer. That's what is remarkable. And that's what it takes.

It makes use of the ordinary things, and they'll sound familiar. Excel, Access, or SQL Server as the database, and the deployment techniques like Azure for it to be in the cloud.

It's very heavily like Microsoft promoting its own products, but I forgive it because this time it works. And I'm speaking from some experience; I worked in the data warehouse technology group at Oracle for three and a half years, and I was helping Oracle's clients put up a data warehouse with Oracle as the database, and to migrate data into the Oracle database. So that was my background. And for me to be persuaded that this collection of regular, already known, already used desktop tools could work just as well, but with the added value of the samples, the templates, frequent updates, and lots of support. That says a lot.

It also has other features that I like, especially regarding the designs in the set of templates for things that would perhaps be very puzzling to somebody doing it for themselves. It has pre-built tables to hold, during project lifestyle, maybe a small select amount of test data with the intention of the large amount of data going into production after deployment. And it has all the table designs that start out generic but that can be easily customized.

When it comes to improvement, I would say there could be more tutorials for students in universities who are just learning it. And it wouldn't have to be just for students in universities. It might also be for the people who use it in the real world.

The evidence that I see when I look into it is there's a lot of user group type of connections to the Power BI world. And many, many bloggers telling their stories and promoting themselves or small businesses promoting themselves to do it for you using Power BI. The claim being that they could help you get it done instead of you doing it yourself. That's what goes on in this industry. You see a lot of entrepreneurial people who want to work in the role of consultant and get paid for it. There's a lot of that.

And the invitation to look into the websites comes from little mini tutorials, which can be very helpful. But the next step of those tutorials, if most of the people get what they want out of them, is a contract to do the work. I don't want to introduce those kinds of things to my students, because it's kind of promoting something that could be a distraction.

I worked for years as an independent consultant. I even did a fairly long series of contracts up in the state of Washington at Microsoft and I had 38 years in the industry before I became an academic teacher. But I'm avant-garde when it comes to sales. I avoid salesman because I don't want to believe the hype. I don't want to be deceived. And I don't want to suggest that somebody go that way. The topic of sales is overdone. This is an opinion on my part.

On a practical note, the process of importing data into a new environment that has recently been designed is always a major effort. And Power BI has some weaknesses when it comes to loading data into an otherwise good concept and a good design because if it's not seriously tested and all shortcomings noticed beforehand, the importing process will fail.

Even a cool tool like Power BI cannot anticipate the complexity of the variety of sources of data. But they're not alone. That would not be a disqualifier. But because I don't have direct yet, hands-on, having done this, I don't really know how Microsoft would improve this area.

I think they've got it handled on integration. Everything that you're working with is already a Microsoft environment or a Microsoft tool. It's integrated. But if you're using the desktop tools by Microsoft and you need to deploy into a backend of Oracle, there might be some things that a smart consultant has to help out with. So cross-platform integration could use some improvement in terms of ease-of-use.

I have used Microsoft BI in my data analytics classes for a few years now. 

In an abstract sense, it's holding up. I don't speak to actual customers of Microsoft products to answer that question. But I would suggest that it's holding up because the Gartner Group put out another magic quadrant output that describes it as being in the leader category.

It's a well-respected research group, Gartner. In fact, companies that want to acquire its research for anything more specific or consulting, have to pay for it and have ownership. I don't pay for it. But there are many vendors who have my school email on their lists, so I get the reports for free, and I have my hands on quite a collection of the reports.

And that's why I'm mentioning them because the Gartner Group has mentioned Power BI twice now. So as far as long-term prospects go, I'd say Power BI is a stable solution.

Microsoft provides frequent updates and a lot of support for Power BI.

I have worked in the data warehouse technology group at Oracle for three and a half years, helping Oracle's clients deploy a data warehouse with Oracle as the database. But when Power BI came onto the scene, I was more and more persuaded to use it instead for business intelligence and data warehouse purposes. This was mainly because I enjoyed how easily Power BI builds on existing tools that I'm already familiar with like Excel and Access. 

The setup is straightforward, because it exhibits itself within familiar tools, like spreadsheets.

The complexity comes when you try to convert from simple beginnings into something that needs to eventually become reality. But I'm guessing. I don't know that it's complex. And anyway, I personally like complex. It attracts my attention.

For my primary use case, i.e. teaching students, the free version of Power BI is adequate.

May is the next time I'll be teaching the data analytics class, the graduate class, and I will be actively trying to promote Power BI for the team project.

I would rate Microsoft Power BI an eight out of ten. 

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.

The querying capabilities are the most valuable because they allow me to build many automations. We have many workflows and many databases that we work on a daily basis. They need to be updated quite quickly. In order to not to take much of our time doing these updates manually, I have set up these automations using the systems. The process is just to ingest the data and reprocess it. Every time I click a button, everything is updated in almost real time.

It is by far the easiest system not only for querying but also for data modeling, data visualization, and deployment. It is light years ahead of Tableau and even Microsoft Excel to do these kinds of things. It is very easy to use and set up, and it has a lot of videos on the internet.

I would like it to be a little bit more secure when I'm using the design feature on my desktop. For example, to have the ability to set up security passwords for opening the file. Currently, they don't have that.

Tableau, for example, has a visual way of doing data processing steps, whereas the Power BI system still has some code, although it is very low code. It would be great to have the kind of view that Tableau has.

I have been using this solution for around two and a half years. I am currently using it, and I have also used it in the previous company.

It is very stable and very reliable. It is by far the most reliable system I have used for deploying many things.

It is very scalable, especially because the pricing was great. Right now, they are integrating a lot with Microsoft Power Apps and the Power Platform as a whole. Power Ultimate and other things are being integrated into the system as well.

In my previous company, more than 200 to 300 people were using it on a daily basis. In my current company, we have less than ten people using it because we are still a very confined team.

The technical assistance is great, and I have never had any problems with them. Their support to communities is also great. I would rate them a ten out of ten.

The initial setup was very easy. It took a little bit less than a month to get everything designed, tested, and deployed after we got the licenses.

Its pricing is great.

The first piece of advice is to become very clear about licensing and the data governors. Always get the licenses and get them right. You must also be clear about who is going to control these accesses. The second piece of advice is to understand a lot about the low-level security to create profiles and data access features to allow the specific data to be seen only by a specific public.

Currently, in my organization, the greatest challenge is getting proper licensing. We have a little bit of resistance from our IT department who would like us to use Tableau more. It is not Microsoft's problem. It has more to do with the vendor of choice of the company, and they say that we have to use Tableau, but I don't want to use Tableau.

I would rate this solution a ten out of ten. It deserves this rating.

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.

The drill-down capabilities and automatic charts are the best ones. The visualization is also very good. In terms of visualization, no competing product, such as IBM Cognos or any other product, has the same capabilities.

Microsoft BI comes under pressure when there is a lot of data to be crunched. It gets slower and slower, and the functionality becomes a bit of a problem. The performance goes down with data being fed into the system. The infrastructure requirement also increases if you have to increase the performance. This is the area that can be improved in my opinion. Initially, the product is good, but over the years, when data gets accumulated, it becomes a problem unless the old data is kind of archived and is no longer shown on the visualization.

It has a feature by using which a user can query for a report through simple questions to a bot. So, if I want to look for the customer share of revenue by geography, I just simply state that in the chatbot. If I wanted it in a pie chart, then you say, "Please show it to me in a pie chart." It comes out well for basic charts. This feature should be improvised more so that people can very quickly get customized reports on the go.

I have been using this solution for a couple of years. 

Its scalability is good. The only issue is the performance that degrades when more data comes in, but when it comes to scalability within a particular level of data, it is really good.

I don't know. I am not technically so much involved in the day-to-day side of this.

The initial setup is a process by itself, so we have to take external help in terms of implementation. In terms of various reports and other things, I don't have an idea about the complexity of the implementation because we took expert advice, and an external consultant implemented it for us. I would guess that it is a bit extensive and needs a lot of work to be usable.

I would definitely recommend Power BI for those entities that are not complex. Unless and until there is a very high volume to be handled, I believe Microsoft Power BI is the best solution to go for, particularly when somebody buys a stack of Microsoft products, which includes Office, SharePoint, and so on. The whole Microsoft Office Suite is a brilliant product in its entirety, and there is good and easy integration with SharePoint, etc. This is a nice feature that other products don't have. There is a stack of IBM as well, but it is not as good as Microsoft.

I would rate Microsoft BI an eight out of ten. I am pretty happy with this solution, and the two points are down because of the performance issue and probably the cost.

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.

Two valuable most features are the ability to create columns and create measures.

The create measures feature offers you a little bit more flexibility. You can define what kind of measure you need using a formula, and the way Power BI works is very similar to Excel. In fact, most of the functions that you use in Excel are present in Power BI as well. When you create measures or columns, you just write the formula as you would in Excel, which will allow you to visualize that data in the way that you want.

In my opinion, the software is a little bit limited in terms of the flexibility it offers, with regard to the design of the visualization. By comparison, if you look at some other visualization tools, such as Tableau, for instance, the range of designs, or the range of graphics that you can create with Tableau is far greater than what you can do with Power BI. 

Of course, they do provide an option to download templates and use them, but every time, you have to go to the Power BI store, search for those templates, download them and then use them. I think it's a growing universe of visualizers that they have, so probably, they are also working on the same thing. I believe, in terms of the designs of the visualizations that the tool can create, there is some room for improvement.

One more aspect that needs improvement is the formatting of visualizations that we create. Formatting in this context is the colors or the font style or font sizes. The formatting options, I believe, could be made a bit more user-friendly than the way things are right now. It's a little hard to figure out where to go and how to change the formatting of a particular chart or graph. So, I think the formatting options could be made a little bit more user-friendly.

I have been using Power BI for more than three years.

Microsoft BI is definitely stable.

This product is scalable and in fact, I have worked on it with fairly large datasets. It also gives you the option of publishing onto a server. When the dashboard/report is published to the Power BI server, we get a link that can be shared with others in the organization. At the enterprise level, it is possible to give access to a list of users who will have a need to look at the report frequently. These users can just click on the link and view the report whenever they want to. It is also possible for them to use filters and interact with the report.

I am fairly comfortable with the tool and to this point, I really haven't felt the need to reach out to Microsoft with regard to the specific features of the tool. In case I do need some help on a particular feature, what I usually do is Google what I am trying to find and I get some links to the Microsoft community, or something similar, which answers my question.

To that extent, it has been very convenient to find help in whatever we are required to do with the software. The simple things are taken care of automatically. In case there is some trouble with the visualizations, you can always find help or assistance on the Microsoft community pages.

I have also worked with Tableau and I think that each of these tools has its advantages.

I believe the cost of the software plays a deciding factor in a company's decision to implement either of the two. While each product has its pros and cons, if you're looking for something that's more value for money, then I think Power BI is the better choice.

On the other hand, if you are willing to choose an expensive option that gives you a lot more flexibility, then I think that Tableau would be a better choice.

It ultimately depends on what you are going to use it for. If you're using it for a variety of visualizations that you want to create, Tableau will be a better choice. On the other hand, if people have budget constraints then Power BI will provide a good value for the money.

The initial setup is straightforward. You just download the software from their website, install it, and sign in.

This product offers good value for the money.

In a nutshell, I recommend this product and I would suggest implementing it. It has a very good range of features that it offers. For organizations starting on their business intelligence journey, I believe Power BI is a very good tool to start with. It's very user-friendly and it provides a graphical user interface where users can just drag and drop their required fields into particular templates of visualizations. It means that you get the charts quickly. There's no complex learning curve involved. From that perspective, I would say that it's definitely worth a try.

My biggest complaint is that it's a bit limited right now, in terms of the choice of visualizations it offers.

I would rate this solution an eight out of ten.

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.

It's similar to Excel, but it's much more powerful than Excel. I love the unlimited number of rows that can be processed, the grant server application, and the strong security.

It produces a very nice picture — very nice graph managers that are very attractive.

The way you prepare your reports is very intelligent and intuitive. 

It's very easy to operate and the dashboard is great.

I have been using this solution for a few months now.

Microsoft BI is stable, but I cannot comment on the stability as we haven't yet used it for a big project.

The customer support is excellent. We get perfect support and it is regional — not only in our country, but there is also regional representation from Microsoft's so-called architects; they are very good professionals who help us with whatever we require.

Currently, we are in process of implementing this solution on my computer. I installed the Microsoft Power BI desktop application very easily and started my training. I didn't experience any difficulties.

I collected information from several sources and it's been working well — I am happy with this software.

I needed about 15 minutes to install the desktop application. The other portion is web-based, so I haven't gotten to that yet.

Microsoft BI is not very cheap. A premium license costs roughly 5,000 euros a month.

I would absolutely recommend this solution to other interested companies.

Overall, on a scale from one to ten, I would give Microsoft BI a rating of eight.