Microsoft Power BI Reviews

I am a reseller for Sage business solutions and will start to sell Microsoft BI.

Microsoft BI is primarily used for sales, financial, and production reports.

I believe that it's a good solution. 

It is not an expensive solution. The price is very important in the solution selection process. In my opinion, Microsoft BI is a low-cost solution, and it could be an interesting solution for a tourism company.

I have been using Microsoft BI for a few months.

As a cloud solution, we are always working with the latest version.

In our company, we have five users.

The price is an important consideration when upgrading or adding new users. In my opinion, it would be better for the price to be degressive by the user. For example, if you have five users, you simply multiply five by the unit price to find the total cost of the solution. 

I believe the price should be degressive, and we should have a lower, or better unit price if we have more users.

I hadn't really needed Microsoft's technical support until now. We have not had any issues to resolve.

The installation is not a difficult thing, it is very simple.

We only need one IT manager, to deploy this solution.

Licensing fees are paid on a yearly basis.

I would recommend this solution to others who are considering this solution, which is the reason that I will be selling it.

I would rate Microsoft BI an eight out of ten.

The most valuable features of Microsoft BI are the variety of possibilities to connect to various data sources. The visualizations are easily done, have useful rollover functions, and there are continuous updates being made to the system. You can benefit from the various improvements.

I'm missing collaborations functionality to operate or to work connected with multiple people on a data source or on virtualization. There should be more collaborations functions, such as in Confluence. We haven't explored the solution sufficiently in this area, but at this time it doesn't look sufficient.

I would want one platform, which can be used for top management meetings where you see and comment on the data. That would be a perfect combination. Everybody has access, sees the status, the data, and the comments, and that will make life easier for us.

I have been using Microsoft BI for approximately three years.

Microsoft BI is stable.

I have found Microsoft BI to be scalable.

The technical support from Microsoft has been good.

The setup is good. Everybody can test and try the solution, it's not rocket science. There is a lot of training and courses available. We decided to have a separate workforce for that purpose which is doing nothing else than Microsoft BI every day in India. It has been very effective.

I rate Microsoft BI an eight out of ten.

We were using Microsoft BI but it could not do what we wanted it to do. Then we moved to an open-source platform, which was Apache Tika, Kafka, and third solution. We ended up moving back to Power BI only to display the information because displaying information with Power BI is better than open-source software. We are not using all aspects of the solution at the moment.

In the process of using data there is the Extract, Transform and Load (ETL). For extracting we are using another software, for transforming we are using our own coding in C#, and then we use Microsoft BI for loading the information. Microsoft BI displays information very well.

The solution could improve the extraction and transformation of data. For example, you transform the data and then send it to Microsoft BI without having to use your own API. We are only providing the API to Power BI, and then Power BI is doing the job.

In an upcoming release, Microsoft BI should increase the functionality of the solution.

I have been using Microsoft BI for approximately six years.

We were satisfied with the stability of Microsoft BI.

We have 30 users using the solution in my organization.

We are in contact with the support of Microsoft but I have not been in contact directly.

I have used other solutions, such as Apache Tika and Kafka.

The initial setup was straightforward.

The solution only needs one person to do the maintenance.

There are a few options available for purchasing a license. Typically the number of users you have will determine the price of the license. The more users you have the more you will pay.

The solution has had a lot of changes over the years and it is very good. However, there is more work to be done on extract and transform functions for it to be done properly.

I rate Microsoft BI an eight out of ten.

I like data modeling. You can connect with your database, which is quite useful for me. It is a good tool if you have a large amount of data and you want to gather different data and interconnect it.

The Power Query functionality is quite an interesting feature. If you have a query in Excel, you can also copy your query and run it in Power BI. 

Its dashboard is also very nice and not complicated. You don't need to be a developer to be able to use it. I am not an IT guy, and it is quite easy to use for somebody who is not an IT person.

It is not the right tool to do deeper analysis or predictions. When you have some data and you want to do some deep analysis, there is no feature to help you with this. 

I have been using this solution for one year.

I would rate Microsoft BI an eight out of ten.

We primarily sell Power BI licenses. 

Mostly, we focus on the retail industry. Usually, we are using the Power BI reports for dashboards. We are also providing our customers with some data warehouse reporting. Basically, we do long-term categorization of stock and inventory numbers and sales figures so that they can compare the sales and stocks to the inventory numbers.

We tend to deal with physical inventory reports. We tend not to deal with the solution for financial operations.

The solution has different licensing tiers.

The product can scale if you need it to.

Technical support is quite good.

With the cloud deployment, there's no setup required.

The product works well for small or mid-level organizations.

The solution's stability could be improved. In the retail industry, due to issues with information updating and data uploading. Clients may end up pricing items wrong as they could accidentally base their choices on old or wrong data.

The licensing needs improvement. There needs to be a middle option between Pro and Premium versions. It could also be less expensive.

While we have experience with Microsoft tools for the past ten years, I personally have had experience with Microsoft BI for the past two or so years.

The solution is not really stable. I've faced a lot of limitations especially in terms of some data flows updates. We have faced some exceptions. Right now, we have created a case for Microsoft in order to solve some problems we've been having as, right now, there's some sort of system fault.

While the platform is a little more stable, the big problem is the latency issues around customer updates.

In a recent project, in Sweden, we faced an exception in Power BI from the update path. Whenever we refresh the animations and the fact tables, we faced something that said we couldn't upload the data. After 20 minutes we tried to refresh again. We didn't change anything with our reports or platform or anything related to infrastructure or schema. We didn't touch anything. An yet, the data is updated successfully. That leads us to ask the question: what was the problem 20 minutes ago? We still don't know the answer.

That is why we need some stability for the update service. We are deciding some business decisions based on this data. If this data is not updated, we may decide to take the wrong path. 

This is very important in the retail industry. For example in the grocery field, sometimes with vegetables or fruits or other products, customers need to decide to change the prices within lock days. They need to decide, based on demand, if they should increase or lower prices. They can't make the correct decisions if the numbers don't update.  

The scalability potential actually depends on your licenses. Microsoft provides three licenses. One of them is absolutely free. Another is called Pro. Yet another is per user or Premium. There is a huge difference between the Pro license and the Premium license. There is no need to scale the Pro license or other license models.

When you put the on-premise reports, you can scale out or scale up. It depends on your existing resources. However, in the services as a software (SaaS) version, it actually comes with Microsoft's units or Microsoft resources. 

We have an ASFP agreement with Microsoft. As a Gold Partner, Microsoft is pretty good and responding automatically and helping us resolve issues.

If a partner does not have an ASFP agreement, they tend to have to go to forums or try to Google answers to their problems.

We are aware that sometimes when we make changes to BI, the solutions might be complex. There might be SQL involved, which needs to be taken into account, for example. We may have to look into other resources and other tools to see if there are interactions that are the issue. However, Microsoft is quite helpful as we work through issues. We're quite satisfied with their level of support.

We also work with and sell MicroStrategy in Turkey. 95% of the MicroStrategy projects have been completed with our company. It is a direct competitor with Power BI. My company commonly does consulting for some small and medium markets and for that we recommend Power BI. Whenever we talk about enterprise-level solutions, the company we will use is MicroStrategy.

There isn't much of an installation process, as the solution is on the cloud.

There is a free license, however, it is limited. The Premium license and the Pro license functionalities are very different. Whenever we talk with our customers, they ask "Should we chose the Premium?" We say that "No, you don't need to, as it's too expensive. It is much more expensive than the Pro license." However, the Pro license functionality is not enough for some customers. There is no middle between Pro and the Premium. We need something in between.

The Pro license is maybe suitable for SMBs, small and medium-sized businesses. The premium version is ideal for companies that need to scale up and out.  

There also may be some additional costs that can drive up the price.

I prefer this product and I suggest Power BI to all customers, however, we know that if Power BI is a new idea, we make sure to show company-specific data or analytics for analyzing the data and how this solution can analyze everything quickly. That said, it's not for everybody. If all companies tried to put all their reporting expectations in the Power BI, it would not fit their expectations.

It's not a standalone solution. You need other items in your toolbelt. You need, for example, something that can handle raw data, you need warehousing, et cetera.

In general, I would rate the solution eight out of ten.

We primarily use Power BI for data science solutions.

This is a self-service BI tool, so it doesn't require a huge amount of technical training, knowledge, or a background in BI in order to induct new people into it. This is true even for business people who want to do a little bit of self-service. The whole thing has become quite simplified, as compared to what it was.

There are many good features in this product.

The most valuable features are a combination of the DAX and the inquiry capability, plus the visual gallery that we have. I think that these three things, or the combination of them, is the best that we have found.

I would like to have the capability to schedule exports in different versions. For example, if I want to schedule a subscription and attach an Excel file, we don't have this capability right now. A lot of people work on Excel, so being able to export an Excel file as part of a subscription would be an improvement.

We have been working with Power BI for more than five years.

Overall, it is pretty stable. The cloud version is definitely very stable, and I have found very few flaws or areas for improvement. We have been using it for more than five years and we have every intention to continue with it.

It has been pretty nice for us, in terms of scalability. There hasn't really been a problem, as such. We have approximately 300 users.

Technical support from Microsoft gets a big thumbs up from me. They have blogs, a support page, and the community is very active. Most of the answers we need, we find them there. 

With this amount of information available, we don't need to use technical support extensively. When we do post something on the blog or in the community, the response that we get is pretty prompt.

The last time we utilized technical support was when we were investigating creating a subscription with an Excel file attached to it. We found out that it isn't yet possible with the current version.

The initial setup is straightforward, to say that least. It took just a few days to deploy.

The pricing is very reasonable compared to any other tool.

My advice for anybody who is considering this tool is that if you want to move to a self-service BI, this is probably the best tool available right now. The self-service is pretty good in terms of os user acceptance, usage, and simplicity. It is something that everybody wants and Power BI does really well in that area.

The biggest lesson that I have learned from using Power BI is that if the data is not according to what you want, that really isn't a problem. It has been a problem in the past, especially where the data is not in the form or the shape that you need, but with Power BI, that problem can be solved very easily.

I would rate this solution an eight out of ten.

The primary use case was mainly to create dashboards and present them for reporting purposes. We use Microsoft Power BI to create dashboards, provide insights, and use its various analytical and insight functions to send to either the departmental manager or the general manager of marketing and sales or retail ops.

In short, we had to create sales reports. The sales reports needed to be emailed to the different sales managers all across New Zealand. The Excel file data had to be filtered manually, whereas, in Power BI, you can set restrictions. For example, if you have North, South, East and West branches, you can set corresponding restrictions, while allowing the national sales manager to view the entire data without having to do a lot of filtering, because of the restrictions involved.

It is time-saving for the person who creates the report and also a lot of that is automated, whereas with Excel you've got to keep working on it and keep filtering it all the time.

Our most valuable features are the dashboard and the reporting feature because, before that, our organization used to only use Excel. There was a lot of manual work involved with Excel, whereas once we moved on to Microsoft Power BI, it was a cleaner dashboard and it was faster too. The end user also had an opportunity to alter the reporting as per requirements with Power BI.

I haven't experienced any issues with it right now, so I can't really advise on that part.

I think because I'm moving more into RPA, I'd definitely like to see integration across the RPA, Power BI, or Tableau platforms because that integration could then make automation and mundane reporting much faster.

You'll always require some more complex reports that the analyst could work on, but the very standard sales reports could then be automated very quickly using Power BI and RPA together.

Stability is pretty good. I've been using other services from Microsoft and the support also has been really good so it's a very stable platform and the support services are excellent.

I've been using it for a year and it's only across my single department so I've not yet had to scale it to a very large level.

Across my department, there are two users. Across other departments at my company, there are many more. Most users are commercial or insights analysts.

Across our organization, Power BI is not extensively used, although I'm not privy to every department and their plans. I think it's being used moderately, but could be used more.

In terms of Microsoft Power BI, if there was ever a query, you can find support online. There's a lot of help available but what I generally meant was I have been using Microsoft Office products through the Office 365 subscription business and the support of Microsoft Office, in general, has always been really good. They usually come back on the very same day and try and solve the problem. This is not something I've experienced with other platforms in the past.

We hadn't previously used another solution. We were just using Excel and decided to go to a much better platform.

The setup was straightforward for me because as part of an organization, I didn't have to set it up myself. It was set up via the organization, through the IT department, so it was pretty straightforward.

I adopted it in my team, but it was already being implemented across other parts of the company. I just brought it into my department, so I wouldn't be able to tell the time frame for the actual implementation strategy. For my team alone, it probably took me around two months or so.

The other departments in my company were using Power BI, so it would not make sense to get another solution when they already had Power BI in other parts of the organization.

Microsoft Power BI is definitely a good product and Microsoft has a good integration of a good suite of products across the range. I think if you take UI parts recent release, for example, I'm not sure that does it with Power BI but it definitely integrates it across the Microsoft Office activities, so I think it's only a matter of time before a majority of the Microsoft Office products start integrating with UI parts. That would take analysis, reporting, and automation to the next level and we could free up time for the general reporter.

I would rate this solution as seven out of ten because it's easy to use and there is a lot of support online. I think Microsoft Office itself has a lot of support being provided. In addition, I like its features and it's growing much faster than some of the other analytical tools out there, although it started off later.