Microsoft Power BI Reviews

We are a solution provider and Microsoft BI is one of the products that we implement for our customers. It is used for customized dashboarding, reporting, and self-serve analytics, on a broad scale in enterprise.

The amount of customization that you can do is good, and it's relatively straightforward to do. People with limited experience in terms of coding can implement this themselves. If an organization doesn't have a high amount of skill, internally, then it's something that they can still spin up themselves, relatively well.

It could be changed to the point where it's more suited for self-serve analytics.

The look and feel should be updated in terms of the types of dashboards and graphs that you can produce. They aren't as visual as some of its competitors.

I have been selling and using Microsoft BI for approximately two years.

Microsoft BI is a stable solution.

This product is scalable.

We have dozens of customers that use it.

The Microsoft technical support is not great. You need to have a partner in place that's able to handle these services for you. Customers aren't going to get answers quick enough if they're going directly to the vendor.

I have experience with a couple of other similar products but I'd only downloaded the free versions of these tools to play around with. One of these is Tableau.

Tableau is a solution that would be used more at the enterprise scale. It may be more suitable for analytics. 

These days, from a visual perspective in terms of analytics, dashboards, and customized dashboards, I tend to use Google products.

The complexity of the installation depends on what you're using it for. If you're doing anything relatively complex, such as working with AI or machine learning, then you would probably want to have a specialist service provider do it for you.

We've seen that people are tending to use solutions that compete with it, just because they are easier to automate. From a large-scale point of view, the installation could be simpler.

That said, in its simplest form, it can be used for self-serve analytics.

A company can handle the deployment and maintenance in-house on its own. Or, if they're doing a large-scale project, they might be in need of two engineers.

My customers pay a yearly licensing fee.

From a cost point of view, it's competitive in the enterprise space, although it's not as competitive when you add up all of the additional costs. Things like integrations cost extra and it's probably where Microsoft makes more of the money.

I would rate this solution 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.

Currently, it is used in our financial reporting and financial consideration reports.

It is stable.

It has good functionality and is fully integrated with Microsoft products. If you have already a direct connection or direct integration with Microsoft products, it is very good actually. In some cases, we just developed our BI dashboard and sent it to PowerPoint, for example. It'll be published as the power BI format, which is very good as a feature, to have that capability to just easily populate everything in PowerPoint.

Like all Microsoft products, it is very easy to set up initially.

It's pretty user-friendly.

The product can scale.

Our main concern with Power BI is it doesn't have a connection with the finance application. Power BI is used to present some financial data. However, if there is no direct connection or a ready API to be connected either to Oracle ERP or SAP or a different ERP, it won't be very useful. We need more integration capabilities. 

We've been using the solution for five years. 

The stability is good. There are no bugs or glitches. It doesn't crash or freeze. It's reliable. 

The scalability has been great. If a company needs to expand it, it can.

In my organization, there are about 10 to 20 users. The majority have shifted to Qlick.

I haven't contacted technical support in the past. The product has been so stable we haven't needed assistance. 

We have multiple BI tools. We previously worked with Oracle BI. Our expectations were not met, and therefore we moved over to Microsoft BI.

In my sector, currently, we are using Qlik Sense. We started using it one year ago.

We are shifting from Microsoft to Qlik due to the fact that we have Oracle ERP as a back end. We are trying to find a technology or BI, which already has a direct connection with this ERP. We went into Qlik Sense for that reason.

The initial setup is straightforward, actually. It is like any other Microsoft product. All of Microsoft's products are straightforward. It isn't complicated. This is one of the main benefits.

I'm not sure how long the deployment process was. I can't speak to how big the technical team was that handled the rollout.

We pay an annual licensing fee. 

I would recommend the solution if they already have a Microsoft ERP system. If they have already Microsoft and they have already their financial system in place and if they don't have data movement, Power BI will be very powerful. If a company has different financial systems, they have to track all these data points first, build the business model and then import it to Power BI. 

I'd rate the solution at an eight out of ten.

For the most part, clients require dashboards. We are developing quite a few dashboards for them.

The solution has improved a lot within the organization. We can view chunks of data and detailed data at various levels. 

When we have done training in the cloud previously, I have a long experience in BI tools. I've worked on Cognos BI, Informatica, and other tools including QlikView. 

The solution is stable.

The scalability is good.

There are some great automation elements in the product.

It's a good tool and designing dashboards is easy.

In SAP, we have a suite of components here in a single module. This includes forecasting and budgeting. There's also a smart answers section. Whenever we design any chart or something, the tool provides some information regarding that data. That would be quite a good feature that could be included in future versions of Microsoft BI.

The licensing could be a bit better.

You do need to do some hard coding for certain things in Microsoft BI.

I've used the solution for about one year.

The solution is stable. There are no bugs or glitches. I haven't had issues with it crashing or freezing.

The scalability is great. If you need to expand the product, you can do so. You can easily add more users. 

I'm not sure how many users are using the product. 

Technical support is great. I've worked with them before and have been happy with their level of service. 

I've previously used Cognos BI. I've also had the opportunity to work with SAP.

I haven't got any opportunity to install any Power BI system. That said, for tutorial purposes, I have installed the desktop version in my system. It was very smooth.

It took 30 to 40 minutes for me to install the desktop version. During my learning phase, I prepared one dashboard. Similar to when I worked on Cognos BI, there were some features that we have to hard code and incorporate manually. There is some automation in Power BI. For example, if we are designing some interactive things we have to write code possibly. Still, even having to write code, in Power BI, was a very smooth experience.

We have people on our team that can handle maintenance tasks. 

We had a team of five to six people that handled the implementation in-house.

The client is continuing to use it, likely due to the fact that they see some sort of ROI. However, I don't have exact metrics. 

I'd prefer if the licensing was a bit better.

The customers need to pay the licensing fee. I can't speak to the exact pricing for their contract.

Typically, the solution architect is the one who decides which tool to use. However, we also were there and had a brainstorming session before choosing the tools. We did look at open-source options. At the time I prepared one checklist comparison between all the tools available in the market. Those included SAP, QlikView, and Tableau.

We are an integrator and a partner. We are providing support activities to one of our clients.

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

I use this for its analysis service.

I find Power BI's reporting feature the most valuable. The solution has improved a lot. There are new features getting added day by day. In the past, they didn't even have the printing feature, but now they have it.

Every tool has room for improvement. Microsoft also has a lot of room for improvement. If you look at the new tool, even though they promised that you could do data modeling, that you could do everything from the Power BI side, if your data is really large in volume, sometimes it doesn't work on the Power BI. More feature testing from their side would certainly help users.

I've used this for eight years. I've used this solution within the last 12 months.

This solution is stable. It's a nice solution to have.

This solution is very much scalable.

Technical support is good. It's not really very helpful sometimes, but it is good.

We previously used a different solution for a different location, a different customer. If a customer decides to go for one vendor, they stick to that vendor, so changing a vendor is not an option most of the time.

Initial setup is straightforward, but it depends on the business case. It's straightforward, but sometimes it is complex, but compared to any other tool, the setup for this solution is straightforward.

My experience with them is okay.

I wasn't able to evaluate other options before choosing because it was already chosen by the customer.

Deployment for this solution in our organization is mixed: on-premise and through Microsoft cloud.

If you have a source on the Microsoft side then it's always easier to use one vendor for end-to-end solution. Even if there are some other sources, Microsoft has a big and varied area. Take the reporting ETL analysis as an example, everything's built as part Microsoft. It's always good to have one vendor than multiple vendors.

How long deployment of this solution takes all depends on how much data you have. Sometimes it takes a long time if you have a billion rows of data e.g. it could take hours. It also depends on the architecture. It depends on so many things.

There are a hundred users of this solution in our organization. The real users are customers who require reporting to make business decisions. Mostly the users are business analysts.

This solution is pretty much automated, so no maintenance. For AD, some are there as a team, so they help.

No plans of increasing usage of this solution. Maybe in the future, but not right now.

My advice to other people looking into implementing Power BI is to go for it. It's one tool that has everything, and they should always try to evaluate Microsoft compared to open source. Like in open source, you'll always have a lot of libraries, a lot of different tools that you would be using. It's great to try Microsoft Suite because at the end, you'll only have to deal with one vendor so maintenance will be less.

The lesson that I have learned from using Power BI is to try it out. Don't just rely on the features and promises about the solution. You first try it out, then share your experiences with the customer.

My rating for this solution would be seven or eight out of ten because it has everything in it and I don't see anything missing in it. It is efficient for our needs.

We are a consultant company so we use the many tools, just for our customers. However, we have professional services on, for example, Microsoft Power BI.

The initial setup is easy.

The solution is cloud-native. 

It works well with Microsoft products. 

The licensing is very simple.

We find the solution offers good stability.

You can scale the solution if you need to. 

Technical support has always been helpful and responsive.

Pricing is quite reasonable.

They should improve the connector to on-premises data. Microsoft Power BI was born native on the cloud, however, it's quite difficult when it has to connect to on-premise data sources. You have a gateway. It's not very easy.

The solution offers good stability. There are no bugs or glitches. It doesn't crash or freeze. It's reliable. 

The product scales well. If a company needs to expand it, it's not a problem.

We use a couple of professionals from Microsoft directly for our clients, and we are really satisfied with them.

We use SAS BI and Microsoft BI. I prefer Microsoft BI as, from a licensing point of view, it's easier as it's a per-user licensing. If Power BI is the right tool for companies, it's a shorter time-to-market approach to business intelligence.

The initial setup is very straightforward. It's not overly complex or difficult. A company should have no issue with the process. 

We find the licensing to be very straightforward. It's easier to understand than other options on the market. 

The pricing is fairly inexpensive. It's not a costly solution.

We have a business relationship with Microsoft. We are a Microsoft Gold Partner for cloud products. In the past, we've used a lot of Microsoft products and also some of our clients have used them directly.

I'd rate the solution at a nine out of ten.

I'd advise that new users should take care of the technical architecture in order to connect in the right way to the data sources to extract data.

We use this data visualization tool for the business to understand data in a graphical manner. It is similar to Tableau, a tool also used for data visualization. A tool like this is used mostly by the leadership team to make decisions. 

Power BI allows you to create user-defined charts which is really useful. 

The Power Query button in the power tabs is a unique selling point and is very useful.

The UI is the main improvement that could be made. Specifically, there is something called DAX, in Power BI, which is complicated compared to calculated fields used in Tableau. 

I have been using this solution for six months. 

This is a stable solution. 

This is a scalable solution. We have 500 users. 

The initial setup was easy. 

The main difference between Power BI and Tableau is the cost. Power BI is much cheaper. Tableau is the best BI tool that I've worked on and is easier for developers to work with. However, there are many things that can be done in Power BI which can't be done in Tableau.

If you're starting working with Power BI, then I would suggest first getting experience with the free version of Tableau to understand and learn about data visualization. From there, moving to Power BI will be much easier as the tools are so similar. 

I would rate it a nine out of 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.