Microsoft Power BI Reviews

The visualization and reporting are the most valuable features of this solution.

It is quite flexible for reporting purposes.

This solution is resource-heavy. I would like to see it consume fewer resources. When I use it on my laptop, it consumes a lot of resources.

I have used this solution within the last 12 months.

We are using the latest version.

It can scale easily.

We have more than 50 people who are using this solution in my company. Across the company, most are in marketing and finance.

I would rate the technical support an eight out of ten.

We use Oracle BI and Oracle OBIEE.

The initial setup was pretty straightforward.

It would be better if the price was cheaper.

I would recommend this solution and suggest they use it.

I would rate this solution an eight out of ten.

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 stable enough. It has a lot of powerful functions. It can also be customized with the DAX language. 

It is also intuitive enough and incremental. You can start with something simple, and then step-by-step, you can increase the reports and dashboards according to your needs. 

When you go to the cloud, its licensing is not intuitive. It is a little bit complex. When you have to purchase a new license, it is difficult to understand on their website what exactly you need to pay and how you can group. It is something that is applicable to all Microsoft products. They're not always so simple and clear when it comes to licensing.

Their support can also be better in terms of explaining how they resolved an issue and what steps they took to resolve it. They are able to resolve the issue, but they can be better at explaining the approach they took to resolve the issue.

It could have something in the direction of machine learning. It can have some kind of integration with machine learning where you can ask for some reports with natural language.

I have been using this solution for two years.

It is stable enough.

It is easy to make it grow as a product. Our organization is not big. We have a total of 10 to 15 people who access this solution. We will continue to use it for sure. 

In general, we are producing applications that we sell to our clients in a SaaS model. All data of our clients is inside our database. The clients have to manage the service. All this data that they are loading in our server can have interesting information for them. So, we are using it to understand our clients and the behavior of the user.

We had to use some support for licensing. They were fast enough, but sometimes, they were not very clear. We had a few calls with them. In the end, they solved the problem, but they didn't have a very clear approach. It was more of a communication problem. Their support can be better in terms of explaining how they resolved an issue and what steps they took to resolve it. 

Its installation is easy on the cloud as well as on the desktop. You can also easily move and publish from desktop to the cloud. We had issues with licensing, but after you have received licenses, it is easy. 

It is also good how the data that is being collected on some servers for different data centers is automatically synchronized. It is easy enough to do automatic scaling or collect the data from the source and the publisher.

We did it ourselves. At the moment, we are not using a consultant. It is intuitive enough for our use, and there is one type of analysis and one type of role. However, in the future, we might require a consultant for customizing the dashboard and the reports and splitting the data according to different roles. We would require analysis of different roles based on different sets of data. For machine learning, we'll surely require a consultant.

For its deployment and maintenance, we have three or four people for each specific competency. Some of them are more experienced in the data that has to be collected, and some of them are experienced in how data can be collected from the in-house server. There are also some people who are more competent in the business domain.

We pay for users who are publishing on the cloud. The desktop version is free.

Its licensing is on a yearly basis.

I would recommend this solution. It has many features that are good. It mostly needs improved licensing. 

I would rate Power BI a nine out of ten. 

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.

The product is very user-friendly.

The solution can be used with any BI tool you have.

The initial setup is pretty straightforward.

The solution has been very stable for our customers.

It appears the solution has the capability to scale, although we have yet to try to do so.

We have yet to implement the solution completely. We're still exploring features and capabilities. It's too early to discuss items that may be lacking.

It seems that the solution could use more analytics to help users draw more contextual business insights. Right now, you need other solutions for that.

I've been using the solution for the past five years now. It's been a while.

The product has been quite stable so far. The performance is good. It's reliable. There aren't bugs or glitches. It doesn't crash or freeze.

 We have not attempted to scale the solution yet. We are in the initial stage of exploring different features on it. We believe it to be a scalable product, however, we have not attempted it ourselves yet. We might in the future.

We don't have any customers on the solution right now as we are just trying to figure things out.

We haven't used technical support. I wouldn't be able to speak to how helpful or responsive they are. 

We are also using Tableau. We use Tableau right now, and we are likely introducing Microsoft BI in-house in the near future. For now, we just have customers that use it.

We found the initial setup to be straightforward. It's not a difficult implementation and I wouldn't describe it as complex. A company setting up the solution for the first time shouldn't have any problem doing so.

We're still in the process of licensing the model. We don't have it set up yet. My understanding is that we will pay for licensing on a yearly basis. I don't have the exact figures in terms of the costs.

Right now, I am looking to do a comparison between Tableau, Power BI, MicroStrategy, and Pyramid Analytics. I have not had a chance to really dig too deep into research.

We are just customers and end-users. We don't have a business relationship with Microsoft.

We are using the most recent version of the solution at this time.

We're still exploring the solution and haven't fully implemented it yet.

I would rate the solution at an eight out of ten. It's very user-friendly and so far I have had a good experience.

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.

Microsoft BI is easy and but not very user-friendly. But you can directly connect it to an Excel file. You can find out how many sites to look at and do it yourself directly. The Microsoft Power BI app is very good. It's also very flexible. 

The dashboard could be simplified. The service is currently good, but it could be better. If you compare it to Tableau and Qlik Sense, they are doing much better work. The ability of their dashboards is much better. The technical part is easy in Qlik Sense, where we can do some coding. It isn't easy in Power-BI.

Microsoft BI can be more user-friendly. Scalability is also a challenge for us because it's difficult to handle Power BI's dashboard.

I have been using Microsoft BI for the last four years.

Microsoft BI is a stable solution. We haven't had any issues yet.

It's not very scalable because it's difficult to manage the Microsoft BI dashboard.

Technical support is good.

The initial setup is very easy.

Their price is good.

I would recommend this product to potential users. But if they have options, I would recommend one of the others.

On a scale from one to ten, I would give Microsoft BI a six.

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. 

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.

Microsoft always believes in adding different features. We did have some issues building the Microsoft blog.

We were having trouble working with the icons.

The Microsoft tech support blog was very helpful to me. But, it supports the non-BI people also.

I was not involved with implementation of the product.

I do not have a comment on the pricing of the solution.

• It is free. 
• SSAS and SSRS work great together. 
• There is a lot of help and documentation on the Internet, so no special training is needed to use the source code.

It has the most secured database that I have ever used, which is the most important part of Microsoft BI.

The reporting part of Microsoft BI is rather limited compared to other reporting tools.

It works perfectly so far.

The information which we are working on is not that deep.

We use information from the Internet everyday.

We previously used iFrame.

We did long studies about which tool to use in our company. We decided to use Microsoft BI because it was a complete product, and it is easier and cheaper than others.

In the beginning, it was a rather complex because all the documents are in English. If it is in French, it was really complex, so then we would have to read the English documents. That was the most difficult thing here. It made the product difficult to use, because of the language, so Microsoft did provide help.

In the beginning, we were about to choose Pentaho because it is an open source suite. The problem is that beyond the enterprise version of Pentaho, it is more expensive than Microsoft. We would always need to rely on an expert of Pentaho, instead of finding solutions on the Internet, and that was the reason why we did not choose it.

Most important criteria when selecting a vendor:

• Price
• Ability to go on the Internet and locate support information.
• Secure product
• Easy interface to use.

We use it for visualization, to create presentations and dashboards. It works pretty well.

We are using Power BI because it is one of the best tools. It has been very good for all situations. The DAX coding language is good for creating formulae.

It is easy to work with. The tool is very complete.

The stability is good, no problem. We haven't had any trouble with it.

Our solutions are not for very many people, say 25 users. For them, it works very well. I don't know how it works with more users than that.

The customers we work with didn't have very elegant solutions. They were using traditional ERP and were getting default reports. Now, with programming code, it is fantastic. They are very happy with our solutions with Power BI.

Qlik Sense and QlikView are very good tools, very close to Power BI. Tableau is also a competitor but we haven't used it.

When selecting a vendor we look for expertise, a company that understands the problems and knows the market, solutions, tools; and one that creates successful products. That is the most important criterion. Also, when you are in front of your clients, you need to know who is supporting you from the back.

I would rate Power BI at eight out of 10 because it enables us to do all the things we want to do. Moving forward, for more than 5,000 users, or for very complex dashboards, we don't know how it works.

I always recommend Power BI. It's very good.