Microsoft Power BI Reviews

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

Constant collaboration is the most valuable. I can build a dashboard, and several co-workers can access this dashboard. We can share information that is important for decision-making.

It is a very easy-to-deploy solution. It is compatible with a lot of data sources. It is also very stable and scalable. There is also a very good forum and a lot of help and online training.

I would like them to provide a license that just allows us to see dashboards. What I don't like about this solution is that in order to just watch a dashboard, you need a license. Currently, you need to purchase a full license of Power BI Pro just to see something, which is not attractive. If you have a license, you can see a shared dashboard, but you can also build a dashboard or you can collaborate with other people. However, if you only want to see a dashboard, there is no license for that. I only want to see the dashboard, and I don't want to do anything more than watching the information on the dashboard. There is no license that allows you to see a shared dashboard. This is one of the areas of opportunity because I would like a lot of people to be able to see a shared dashboard, not to interact with it or to collaborate online with it. 

I would like to see more compatibility with non-Microsoft data sources. Given the fact that everything is related to Microsoft Azure and all services available on Microsoft Azure, I see that they're building more connections to Microsoft Azure services instead of other non-Microsoft services. I understand the strategy, but it would be good to have more compatibility with non-Microsoft data sources.

It is a very robust and stable solution. We are a company that works with enterprise solutions from SAP and Microsoft. We have worked with companies that have 5,000 users and without a problem. So, it is very robust and stable.

Being a cloud solution, it is very scalable. You can easily scale it based on the usage. If you're using it, you pay for it, and if you're not using it, you stop paying for it.

In our company, Power BI being used by maybe 15 people out of 70. It is a growing solution. Three years ago, we had only five people who were working with Power BI. Now, we are building more and more dashboards for our service desk area, and its usage is growing.

I haven't contacted them. We report everything to our own Service Desk, and they are the ones who scale the problem to the manufacturer. This means that every time that we have important issues, they have to be solved in a very decent period of time by the manufacturer. There is a very good response time, and every time we had problems, they were solved. We didn't have anything pending.

Given the fact that it is on the cloud, it is really easy to deploy. It is only about connecting the engine to your data source and start building the dashboards. You can just connect your data. It doesn't matter if it is on-premises or as a service. You can just connect it.

It is based on the usage. If you're using it, you pay for it, and if you're not using it, you stop paying for it.

If your data source is a Microsoft-based data source, this is the best choice. If you have a data source that is not Microsoft-based and is on a non-Microsoft platform, such as MongoDB or Unix, you should see some solutions like MicroStrategy or Qlik. If you have a pure 100% Microsoft-based data source, Microsoft Power BI is the answer. You can do wonders with Microsoft Power BI. It is a very cool solution.

I would rate Microsoft Power BI a nine out of ten.

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.

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. 

We use Microsoft Power BI to budget for all departments and to compare the balance of the past month.

The accounting data needs improvement. 

I have been using Microsoft Power BI for a year. 

It is a stable solution. 

Ten users are using the solution. 

The initial setup is complex. 

I would rate the overall solution an eight out of ten. 

I use the solution in my company for data analysis and visualization.

The advantages of Microsoft Power BI stem from the fact that it is really easy to use. The drag and drop facilities provided by the product are good.

I only face problems when I want the product for free to help prepare for some of the demos for my company.

From any improvement perspective, I want the product to be made available to users free of cost. The product should not require any subscriptions.

The stability and scalability of the product can be better.

I have been using Microsoft Power BI for six months. My company is a customer of the product.

Stability-wise, I rate the solution a seven out of ten.

Scalability-wise, I rate the solution a seven out of ten.

I don't have any experience with the solution's technical support. I rate the technical support a five out of ten.

Neutral

The product's initial setup phase was easy.

I rate the product price an eight on a scale of one to ten, where one is low price and ten is high price.

The product improved my company's decision-making project when I was involved in a project where I had to do an analysis involving LinkedIn and other social media accounts.

The product's maintenance phase is easy.

My company can share and manage Microsoft Power BI across different teams in the company since we have only opted for the subscription for a single person. In my company, we do exchange web URLs, and it helps us exchange reports with different teams.

My experience with the real-time dashboard updates of the product has been good.

I rate the overall tool a seven out of ten.

We utilize Microsoft BI for conducting comprehensive analytics by comparing data from the current year with the preceding year to identify patterns and variations. This software aids us in performing overall data analysis.

The solution can be deployed on the cloud and on-premise.

Microsoft BI has proven beneficial for my organization as it simplifies the presentation of complex data that was previously challenging to comprehend through other means. Specifically, Power BI allows for graphical representation that significantly enhances data understanding compared to raw tables.

The most valuable features of Microsoft BI are its intuitiveness and ease to use.

Microsoft BI lacks some of the scheme features. It would be beneficial if there were a way to show how we move values in a different way.

I have been using Microsoft BI for approximately three years.

I rate the stability of Microsoft BI an eight out of ten.

I have plans to use the solution more in the future.

I rate the scalability of Microsoft BI an eight out of ten.

The initial setup of Microsoft BI is simple.

We have received a return on investment using Microsoft BI.

The price of the license can be better. 

I rate Microsoft BI an eight out of ten.

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

Microsoft BI has a multitude of additional features. Overall it's an EDA tool, from which you can extract, transform, and load data. You can pull reports, visualize them in real-time, and connect them to a variety of other data sources.

When I compare other analytical tools to Microsoft BI, I believe Microsoft BI is far more accurate, and the frequency is also better.

It has additional features, which are very much useful. The most important thing I like is that it is just a data platform connecting to the overall process and it can be utilized in any sector.

Integrating it with the physics build model or the engineering model should be included. When we use engineering models linked to Microsoft BI or Salesforce, the engineering models are from a third-party application.

I have been working with Microsoft BI for the last three and a half years.

We are using the latest update.

I have used it both on-premises and on the cloud.

In terms of stability, I have seen some cases where it is difficult as well as some cases where it is very easy. Overall, it is a stable and reliable product.

It is easy to scale Microsoft BI.

We have a larger team. Microsoft BI specifically, is not limited to any subset or any team. I believe we have 1,000 plus users in my company currently who are using this application.

I have been in touch with the technical team, but not specifically for Microsoft BI. Based on my experience with Microsft technical support, I would rate them a four out of five.

Technical support is pretty decent.

I use a variety of tools, including Salesforce, and I have developed a number of Python-based tools.

The initial setup was simple. However, when I did it the first time, it was complex. Once I understood the process it was simple.

My field was small due to the type of setup required. I scheduled it for one week, during which we also tested.

Definitely, it requires maintenance in terms of quality checking of the data, as well as whether or not the run times or schedules are working properly.

I had some assistance when I deployed the first time, but I am now able to complete the deployment on my own.

In terms of licensing, I've never worked on the contractual side of their license. However, I believe that the number of licenses currently in use is appropriate for our organization. It also adds value to the team. I have never worked on licensing, but I have heard that it is reasonable.

I have not used it on the mobile app. I'm not sure how Microsoft BI works on a mobile app. 

Mobile apps are sometimes third-party apps that are difficult to configure and use. As a result, mobile apps are something that will be required in the future, upcoming data transformation.

Before implementing Microsoft BI or any other analytical tool, we must first understand the domain. Basically, how the data is linked, what data you want to transform, and what output you need for the finished product. Then you proceed with your deployment in a sequential manner. It will be very simple.

I would rate Microsoft BI an eight out of ten. I haven't explored many other items that are feasible or possible, or the analytical part of Microsoft BI's functionality, which I haven't personally used, so there's a gap. Otherwise, I would have given it a ten.

We use it for data visualization.

It is useful for bringing visualization to data. It calculates counts, ratios, etc.

There could be an integrated AI that can automatically analyze some of your data and highlight or provide suggestions. For example, when you are looking at a data set, it can suggest putting it into a certain type of chart so that you gain different insights or a trend line. You would almost have templates that it would recommend for you.

It is absolutely stable.

It is absolutely scalable. You can scale it a lot.

It has been straightforward and easy. 

In terms of maintenance, for the most part, it is fairly low-maintenance. Once you have it set, it is fire-and-forget. The users want to see the view and the information, and there is nothing more to do other than just let it be.

I would give it an eight out of 10. It is a pretty powerful tool.