Microsoft Power BI Reviews

I like how the Query Editor lets me manipulate the data, and the available visuals are good. You can do everything using the UI.

Integration with artificial intelligence would help. Humans take time to review the data and eliminate errors. Artificial intelligence based on machine learning and understanding can bring the same functionality.

I've worked with Microsoft BI for a few years.

Power BI has been stable so far. 

Power BI is scalable. 

I haven't called technical support about Power BI. I've consulted the documentation when necessary and checked blogs to rectify my issues. 

It's fairly easy to set up Power BI.

I think the price is fair, but I can't speak for most Indian customers.

I rate Microsoft Bi nine out of 10. 

We use Power BI in cloud solutions in other systems. There are lots of products in our environment that work with Power BI. One use case is we use it to track the real-time sensor data to Power BI using Azure.

We have lots of customers. We make premium subscription projects for them. We have a Tableau portion. We are also Tableau partners and resellers. As a company, we make lots of Tableau projects. 

The most powerful site of Power BI is the cloud site. You can do everything in power BI. There are lots of things that the solution provides. If you have a huge data warehouse in the cloud, Power BI fits. 

In some cases, there are some add-ons that you can put together in Power BI - for example, data factory, data bricks, and also data lakes. Some Microsoft solutions work together and are integrated already. You don't need to worry about that.  

If you know what you do, Power BI is a good solution.

The solution is stable. 

The product can scale. 

There are some limitations of Power BI. The front end, for example, is not fancy.

The solution should not be used in some cases. 

The cost of the solution can get high.

There is a strong community around the solution that can help users learn about the product and troubleshoot.

When we compare Power BI with other solutions, we can see there are lots of things that should be done. Some things are there, however, they are not working well. Microsoft puts lots of solutions in one place and declares it a complete solution. However, in the practice, you can see that this STK is not working properly or the request is not giving the same results. You discover that when you open a ticket to Microsoft. They will tell you that they are still in development on that product so it will available in the future. 

When you use the Power BI as an enterprise solution, as a consultant, you find out that the product is not fully ready for enterprise. In that way, we suffer a lot. That said,  every version becomes better.

They need to have an analytics suite of some sort.

I've been working with BI solutions for 20 years. I've been using Power BI for two years so far.

The product is stable. For one of our customers, there are one thousand clients connecting to the same report. Everyone gets their own results and can search them. It needs more power. It can consume a lot of energy. 

The scalability of the product is great. It's on the cloud, which makes it easy to scale. 

There are good communities and groups that can help you troubleshoot if necessary.

I'm also familiar with Tableau.

We are SAP partners and resellers also. We make lots of SAP business intelligence solutions and do business intelligence projects.

Step-by-step implementation is easy. The difficult part is when you enter the infrastructure site. There are lots of Power BI developers, however, they do not know the other cloud environment. In that way, they can only design the front site. That said, they should know the architecture. They should know the other infrastructure and know the data also. If they do, they can produce lots of things. As an example, Microsoft offers a flow integration so that you can create a data flow that consumes the data and give the results to other services. Also, there are lots of things that you can do, however, you need to know the Azure environment in order to do them. 

In some cases, Power BI can be expensive.

We are using the current version of the solution.

I'd advise new users that there are lots of communities and lots of user groups that deal with the product. They should attend them. They should watch the videos about Power BI. It's important to extend your knowledge. If you want to be a Power BI developer, you should also know the other technologies as well.

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

It depends on what the client needs. I've got multiple use cases for Power BI. There's no single one that stands out. But generally speaking, my clients primarily use Power BI for financial and sales reporting.

Microsoft BI's dashboards are helpful.

Power BI could have better metadata management. It's easy to use for a single person. However, it lacks an enterprise-grade metadata management system, which can be a problem if you're doing an enterprise deployment with multiple users. Microsoft could add some more features to its normal reporting capabilities.

I've been using Microsoft BI for about 18 months.

Microsoft BI is stable. 

There are limitations and license restrictions. So if you're an enterprise that needs to increase the volume of data and users, you normally have to go to higher license models.

Microsoft BI is mostly easy to set up. 

At the entry level, it's affordable, but as you scale up and have more needs, it becomes expensive because you get tied into the whole Microsoft stack.

I also work with MicroStrategy. Out of the two, I would recommend MicroStrategy. They have what they call the Semantic Graph and Enterprise-Grade Semantic Graph. I think the technology is fantastic. However, doing business with MicroStrategy is fairly difficult and complex because of all processes involved, but the technology is probably the best in the market.

I rate Microsoft BI seven out of 10. 

Around 50% of our customers use this solution. We plan to extend our usage of this solution.

Our customers really like the dashboard. They can click on whatever they want for an in-depth view. Microsoft BI is very easy to set up and use. 

In general, all the Microsoft programs are integrated quite well, but it could be improved. Also, integration with products that are not Microsoft could be more improved.

I have been using Microsoft BI on and off for the past two years. 

If implemented correctly, Microsoft BI is quite stable. 

It's quite scalable. 

I have never contacted customer support. 

I don't know much about the licensing because our customers pay for it. 

I would recommend this solution. Overall, on a scale from one to ten, I would give Microsoft BI a rating of nine. 

We get a lot of chunks of data, especially production data and data based on education — performance-related data. We use BI to analyze the data so we can give feedback to our clients. If they're experiencing problems, we help them find trends, etc.

Within our organization, there are roughly six or seven people using this solution.

Microsoft BI allows us to connect to any database or any dataset. It automatically renders some of the information which makes things a lot easier for us.

Compared to other applications, like Tableau, Microsoft BI doesn't have as many functions that allow you to do a more in-depth analysis and represent the findings. I think they have a standard that they keep to.

As the UI experience is always changing, the interface and security can always be improved. 

I have been using this solution for roughly four years. 

Stability is quite good. It's reliable.

We haven't had to expand because usually we just wait for the data. However, we do have plans to expand.

On a scale from one to five, I would give their technical support a rating of four. 

The initial setup was very straightforward. 

I believe we pay on a monthly basis. Compared to what's available on the market, I think we pay a fair price.

I would recommend Microsoft BI to others. On a scale from one to ten, I would give this solution a rating of seven.

We have integrated this solution into the software that we created for a client specifically for reports and data consumption. It is a hybrid infrastructure project with hybrid integration. It has a lot of reports executed or created from the cloud.

It has helped us to have a really quick view of the most important indicators of the operational issues of our platform. It has enabled collaboration between different operational levels in the company.

The use of graphics to show and view the data indicators is the most valuable feature. It is also very stable.

Its setup and support should be improved. We would like to see more material for developers that provides clear explanations about how we can do data mining by using Microsoft BI. It would also be good if we can connect a feature to other customized machine learning solutions.

It has good stability.

We haven't used it a lot, but it seems good so far. We have only three users. We may include two or three more users to the platform.

Their technical support is bad. I didn't like the technical support of Microsoft.

We also use Oracle and Tableau.

The initial setup was not complex, but we would like a more agile process. The initial deployment took about two months. The platform that we created was very robust.

We are a reseller of the solution. We did the deployment.

We were thinking of integrating Tableau instead of Microsoft BI, but the client chose Microsoft BI.

I would rate Microsoft BI a seven out of ten.

My primary use case is for the performance, compared to MS Dynamics NAV, and flexibility in data and dashboard building.

Better insights, flexibility, and performance.

Great performance.

• Sharing reports with non-Power BI users 
• Use of ISO weeks (European) in relative date options.

Consolidating data from multiple sources and providing dashboards to a broad set of users: Finance, Human Resources, Operations, and Leadership.

It allows individuals to do the analysis themselves. We are getting adoption beyond original expectations.

Most importantly, the dashboards. Recently, we are exploring vendor provided analysis/visuals and the use of R.

Drill-down in dashboards needs to improved. The capability only works in Power BI Desktop today. We need to have an alternative approach today.