Microsoft Power BI Reviews

We are using Microsoft BI to generate point of sale reports.

The solution overall is very useful. The reports that are generated and the reporting functionality management are beneficial.

We have used other solutions and the reporting functionality should be user-friendly and have a drag and drop feature should be available, but Microsoft BI doesn't have these features. When you are creating reports and you can't change as a user. Every time you need one developer or one technical person to make the changes.

I have been using Microsoft BI for approximately six years.

Microsoft BI is highly stable.

The performance depends on the requirement. You have to complete your requirement which is a priority. After that, you understand your requirement and the performance could be better. The performance is the second.

I have found Microsoft BI to be scalable.

The installation difficulty depends on the integration, once integrated properly you can receive results. Microsoft BI can be very helpful to your business.

The implementation took us 15 to 20 days.

We use two Microsoft consultants to do the implementation of the solution.

I have evaluated other solutions.

I rate Microsoft BI a five out of ten.

If I compare Microsoft BI with other solutions, other solutions are much better, but because we have already invested in Microsoft BI. We are using this and maybe in one or two years, we will use something else. We will finalize the testing of other solutions and implement one of them.

We use that solution to provide all the KPIs for the software development to manage the business, et cetera.

The solution is very helpful for managing the business. 

The initial setup is easy.

We have found the scalability to be quite good.

Stability is excellent overall.

Technical support is good.

For managing the business, it's okay, however, as a product management tool, it's lacking. I would like to use BI to provide services for the customers eventually. Microsoft's solution is not good for improving the product for the customers. It's just good for managing the business, and not supporting the customers.

The solution doesn't integrate well with third-party tools.

I'd like them to add to the knowledge base, or at least to offer more documentation about how to use the solution.

It would be helpful if more AI was integrated into the solution. 

I['ve used the solution since 2013.

I find the product to be quite stable. There are no bugs or glitches. It doesn't crash or freeze. It's reliable. 

The scalability of the product is quite good. If a company needs to expand it, it can.

We get technical support from a third party, however, they offer very good support and we have been quite happy with their level of service. They always have enough staff. 

The implementation process is straightforward. It's not overly complex or difficult.

Deployment took less than a month.

I'm also aware of Power BI, which has better integration with third-party tools.

We do not sell Microsoft products. We just use them.

I'm not sure which version of the solution we're using.

We use both cloud and on-premises deployments. 

I'd rate the solution at an eight out of ten. I'd recommend the solution to others as the management portion of the solution is very easy.

We use it for taking data and turning it into intelligence.

I have been using the most recent version of it. It is deployed in a government cloud.

It saved time.

Its ease of use is most valuable.

The biggest thing with Microsoft right now is better support. There should be more timely support. We can do 90% of it ourselves by the same token. When we're into the 10%, we do not get timely support via Microsoft's support team.

Its speed can also be improved. They should come up with a fix for the speed issue and give us some good parameters as to what would help with the speed. They should give us a good white paper that has a compatibility list, similar to what they provide with operating systems, and that describes what you should have before you use Microsoft BI.

There should also be a better way to possibly do things like geolocation, and where they do it, they should do it better. If you have a satellite, offices, and that sort of thing, it would be nice to see it in Tableau and different formats.

I have been using this solution since it came out. It was probably 2010. I'm a Microsoft engineer, so I'm on a lot of beta test teams. So, I would see these items a bit earlier than anybody else.

It is overall in mid-range. Sometimes, it works very well, and sometimes, it doesn't. If it is not working very well sometimes, that means it is not a hundred percent stable.

Its scalability is good. I've used it in very large major banks down to smaller entities, and it seems to not care about the scale.

Currently, we probably have 50 users. Its usage is moderate. We will increase its usage if they come up with a fix for the issues such as the speed.

There should be more timely support. I would rate them a two out of 10 because of the lack of availability. Sometimes, we can't fix what we don't know how to fix, and it causes us a lot of time and waiting and that sort of thing. We have to have a US citizen, and I'm sure that they're just not scaled up to that.

Negative

I have used other solutions but not in this cooperation.

Its initial setup is somewhere in the middle. Each deployment seems to be a little different. You have auto-updates all the time on PCs. When you image a PC, it doesn't always match. So, each deployment is different, and I'm not sure they can change that because most of the updates are for security, but it is very important to be sure that you test the environment first before you put it into production. I know a lot of people who just put it into production because of the ease of use, but sometimes, that can be problematic. In terms of maintenance, it is not terrible.

It was done in-house with the help of a Microsoft partner. Our experience with them was horrible. We ended up fixing it all ourselves. If five was the top, they were a zero.

I would advise others to just do their homework. You should check it out first, do the trial, get it into your test environment, and then make your decisions. Don't rush to production. Everybody is a bit different. If you have monster databases out there, the performance might be a little different.

I would rate it a six out of 10. If their support were better, it would get a higher rating. 

The data is captured by transaction processing systems, and even when the data is captured by a very sophisticated enterprise resource planning system, or ERP system, such as SAP. We'll find that that data is organized in a manner that is suited for the data updated. Therefore, when data has to be used for decision making, it has to be reoriented and organized in a manner that is suitable for data analysis and further for predictive analytics also. What we do is pull out data from multiple data sources, either on SAP or somewhere else.

There could be a certain budget or plan or target-related data on some other platform or on a Microsoft Excel spreadsheet. The data is stored at different places. Some data could be on your internet platforms. Wherever it is, we pull out the data. Then we get that into the SQL server and we organize it in a manner that's suitable for further creation of dashboards and analytics applications, which can be used for better decision making.

The company has been able to make better decisions, due to the fact that, when we prepare business intelligence or data analytics applications, they are used by very similar decision-makers, as well as middle-level management decision-makers. From the same infrastructure, the data is used by even the report consumers. You can consider three layers of users, report consumers, mid-level use, as in, those who do interactive analysis of data, and decision-makers. Right at the top, those who would like to see the key performance indicators and use them for deciding a course of action can do so. All of our applications have been providing functionality for all these types of needs, including risk and compliance.

The solution offers many features, however, just the way in which that product is designed is quite useful for us. 

The way in which it can connect to multiple data sources is also very useful. The way in which data can be manipulated by using data analysis expressions has also been a good feature for us.

The solution is stable.

The solution is quite scalable. 

Our clients seem to be happy with the level of technical support they receive.

With our experience, the initial setup is straightforward.

Microsoft is often updating the solution adding new helpful features.

I'm not a product expert as such, however, I am aware that Microsoft comes out with a newer version, which is really downloadable and it's replaced every month. Therefore, the improvement is continuous. Since Microsoft provides a free downloadable desktop version of our BI. That desktop portion gets a new version which comes every month, we can replace the older version. 

Their ecosystem is quite good in terms of adding new features, in terms of adding custom visuals or adding many more interfaces or reporting features and more functionality within existing reporting and graphs. We don't have much to complain about except that they can always add many more features as they go.

Microsoft has got a very large repository of all change suggestions which have been raised by the BI community. They keep on adding features that are very widely sought after by the community. We don't focus on product features. We focus on business requirements. To use the solution, we find that existing features are good enough and offer us a very effective solution.

We've used the solution since its inception. We've used it for a very long time. We have been in this domain for the past 30 years.

The solution is quite stable. That's why it is right at the top, of Gartner's quadrant. We have deployed it with hundreds of users and it's withstood the test of time.

The solution is quite scalable. Of course, it requires data strategy just like any solution or any tool.

We tend to have 100 to 200 users at a minimum using the solution.

The solution is extensively deployed. We have plans to use it on an ongoing basis. They come out with new versions and new features every month, and this constant updating and iteration of the product have really been very helpful for us to provide more advanced solutions.

In terms of technical support, we don't really deal with it. Normally, our clients have a contract with Microsoft, however, my understanding is that their experience is good. 

We were using a CA tool and we have done work on Oracle. We have done work on many such platforms. However, since 2008 or 2009, we have been focusing on Microsoft as the total cost of ownership has been quite reasonable.

The initial setup is quite straightforward.

Our implementation strategy involved a business requirement phase where we sought out to understand exactly the expectations for a particular project. Then there is was a design phase where we decided on a data strategy of pulling data from multiple data switches. After that, there was a dashboard design phase, which includes wireframing of dashboards and then designing the dashboards according to those wireframes. Finally, we deploy and in that phase, we put in role level security, et cetera, and deploy it at an enterprise level. The entire process tasks three to four months in total, end-to-end.

We don't require much maintenance due to our maturity in design and development. We have been monitoring sites without having to add too many resources at our end as we have a robust design and maybe one person can handle four to five.

We do the implementation on our own. We have deep experience in this area, and we have developed two types of processes that we use to deploy our solutions. One is the data approach, where you know all best practices and methodologies are embedded into that thing. That framework gives a hundred percent assurance in terms of the success of that project. We have also developed a presentation layer framework whereby different subject areas are designed with very indicative dashboards and those dashboards can be quickly adapted to any data. That way, rather than starting from scratch, we use this framework which helps us to deploy our solution quite successfully. It's very fast also. We save around 50% to 55% of the time this way.

We don't deal directly with licensing. That said, certainly, we are aware in terms of what the Microsoft BI license costs. If it has to be applied on the cloud, then it costs around $10 per month per user. For a pro license and for a premium license it's around $20 per month per user. If it has to be applied on-premises then, depending on the course of your server, you have to buy a software assurance version of the database.

They don't charge for additional features. If you want a premium capacity to handle your work or job, then there is a separate license available. That is a premium license, which is available with the entire product managed by Microsoft and you can use lot more features, including Azure, et cetera.

We are Microsoft partners.

We have two deployment options. Some of our clients have deployed the cloud solution. Some are deployed on-premises.

Anybody who has worked on existing spreadsheet-based solutions can quickly adapt to Microsoft BI and the data visualization and interactive data features, they'll find it very exciting to use and very fast to adapt to it. It's a very effective solution.

I'd rate the solution at a nine 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.

It is one of the business intelligence tools we are using—mainly for all our data visualization purposes and building interactive dashboards. We use Microsoft Power BI to generate all different types of analytic reports. We move information from our data warehouse to a SSAS cube that we've built on top of all our dimensions. We also do a certain level of aggregation in the cube itself, which is then connected to Power BI.

It works well with SSAS, which we use to generate all different kinds of trending and analytics reports. Sometimes we use Power Query and DAX to build some aggregations on the Power BI side as well.  

I would like to see Microsoft BI add custom visuals and certain machine-learning capabilities. It would be nice if the DAX functions could perform some kind of predictive modeling. Right now, it just does a kind of descriptive analytics.

I've been working on Microsoft Power BI for three years. 

Throughout several updates over the past three years, I never saw any issues, particularly with installation or anything, so I see the product as stable.

I feel that scalability is one area where there is room for improvement. When there is a huge volume of data, like when we apply the aggregation, the reporting slows down. That's why we mostly build things in the SSAS cube itself instead of bringing it back to Microsoft BI to do the aggregation. Certain incredibly small aggregations can be done on the Microsoft BI side, but if the dashboard size is more than 1 Gigabyte, you start to see some performance issues. 

The Power BI community is really big, so we mostly rely on other users for support.

In some projects, we have used Tableau or ThoughtSpot. If we're dealing with big data, then we often consider using Tableau. Power BI has some additional features that Tableau doesn't have, like DAX and Power Query, but Tableau works better from a scalability standpoint. Sometimes for reporting purposes, when we want to generate some kind of dashboard on the fly for the user, we have used ThoughtSpot. 

We didn't experience any complications. We built everything on the desktop and in the .pvi files, then just move those files to the server. Afterward, we didn't see any issues at all in terms of setup.

I'm unsure about the exact cost, but the Pro license comes out to around $10 per user. There are also additional costs for custom visuals that you can pay for.

I would rate Microsoft BI an eight out of ten. 

We are using this solution for analytic dashboards.

The solution integrates with other Microsoft solutions very well. 

When it comes to security Microsoft BI can integrate well with Microsoft Domain Services, you are able to make it as secure as you want.

There are useful visualizations available in the dashboards.

If you are having millions of rows of data or you have a large database, Microsoft BI's performance depends upon how powerful your hardware is. When I am handling large amounts of data I do not use Microsoft BI or Tableau because of this, I use D3.

In a future release, they need to have better integration to allow any visualization that is done in other solutions, such as D3 or Tableau, to be able to be imported in Microsoft BI easily.

I have been using Microsoft BI for approximately five years.

The solution is stable when the database is reasonably sized. If you have large databases of 20 million rows it can begin to have difficulties requiring a purchase of more hardware.

The scalability is good. If you have a direct query, Microsoft BI can run on billions of rows of data.

Microsoft BI is available to the 70,000 users in my organization.

This solution is used extensively because everyone has access to it, not because it is the best.

The support from Microsoft could improve.

The solution is easy to install.

We did the implementation of the solution.

For those customers we have that use Microsoft BI on a dedicated server, we have a technical team that does the maintenance.

I have evaluated Tableau and D3.

I would recommend Microsoft BI over Tableau if you are comfortable with Microsoft solutions. Additionally, understand your use case and choose the best solution that fits your needs.

I rate Microsoft BI a six out of ten.

I'm a project manager and we are customers of Microsoft.

I like the toggling feature, the ability to switch from one page to another. 

I have a couple of dashboards that are weekly and monthly. I was able to download the dashboard, but I cannot paste any images into PowerPoint. There are also visuals based on the brand that should automatically pop up in the graph and which should be a toggling option. And I'm having performance issues if I want to add two or three tables at a time, which I could easily do in Tableau. Copy-pasting data to PowerPoint for presentation to the executive level should be easy but we're only able to copy the visual, not the underlying data. 

I've been using this solution for the past eight months. 

The solution is scalable but we haven't yet migrated everyone to Power BI. Our users are not finding Power BI as good as Pique, which perhaps they're just more used to. They're trying but some of the features available in Pique are not there so they are not comprehensively using it. It's being used mainly for internal analysis for now. 

We initially used Tableau because our data was an internal data source, and now all of our data is migrated to tool environments, that the Power BI is more comfortable with. BI is also a free product which is another reason the company recommends it.

The initial setup was straightforward, we have a Power BI admin team who take care of all that. 

Because of performance issues and because we're unable to do all the aggregation, I rate this solution six out of 10.