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.

We use this as a data validation tool.

It has improved the organization because now we can connect Power BI directly with the Microsoft team. So it creates a more direct feed among the teams.

I like how it has the capacity to share the contents of the report easily. The data validation is great, too. It's easy to learn, so it's easy to teach how to use the Power BI for a team, and it's easier to build the parts.

The performance, the ETL, is not so good. Also, I believe Power BI could improve how to add filters to the visualization dashboard because we don't see an easier way how to apply them. We can't filter the table directly, so we always have to do separate filtering for parts of the dashboard.

In the next release, I'd like to see the option to share personalized validation of the users, let them see one another. I'd also like to see the capacity to get filters in the table.

I have been using this solution for about two years. 

The stability is not so great because when you have to improve your performance, you have to double your storage, so sometimes it becomes very expensive.

When you have to scale up, you must to pay double because you can't just scale up 10 or 15%. You need to double your extra storage, so it's really bad.

The customer support is good, they have great technical support. Sometimes they can't help with some features, but most of the times that we've had a problem, they were able to solve it for us. So, it's good. 

The initial setup was straightforward. Really simple. The deployment took about a week.

The reseller was Dell, who was great. I have no complaints about the seller. They have a good number of consultants that know all about Power BI, so getting help was easy.

Licensing is done on a yearly basis, and it is a standard fee.

I would rate this solution an eight out of ten. I would suggest using Power BI with a good detail tool behind it, and just using Power BI as a validation tool, not for the whole BI process.

I would rate the stability of Microsoft BI at 70 percent. 

While the solution is scalable, it certainly has its limitations.

I find the solution to be 70 percent stable. 

Although the solution comes with limitations, it is scalable. 

Technical support is not that bad, fairing in the average range. 

The solution is not that difficult to install, although this will vary with the experience of the person responsible for its installation. 

There are five people responsible for the deployment, their roles comprising a mixed bag, some of them being managers. 

Our customers definitely incur a licensing fee. 

The only other cost, besides the licensing fee, would be to cover support. 

There are only three customers using the solution at present. 

I always offer more than one solution and the person must choose which he feels best suits his needs. All solutions have plusses and minuses and these should be carefully weighed before one decides which one to go with. Once the client has settled on a solution, this is what I will go with. We are talking about Microsoft store. Generally speaking, our clients prefer to make use of Microsoft. 

I rate Microsoft BI as a seven out of ten. 

This rating is based on what we have observed about the solution thus far, although it may be amended over the next few months as we become more acquainted with it. 

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.

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. 

I work in fraud analytics in the insurance industry and use Power BI for broader and high-level reports. We also do some fraud detection, and our output is sent to a Power BI dashboard for various clients to see. It's basically our visualization tool organization-wide.

The most valuable feature is the infinite possibilities when it comes to visualizations. If a particular visualization is not available as a default or in the market, you can just load in a Python nr script and get a visualization from that. It's very flexible in that respect and opens up a plethora of opportunities. The huge number of connectors that are available is also a big advantage - BI can connect to various things, even competitors like Google's Data Studio, and it is even able to connect to various Google data sources and be a powerful alternative to Data Studio. It's also a data modeling tool, so it keeps everything within the app, which is really convenient, allowing the pipeline to complete itself in a more fluid way.

In the next release, I would like Microsoft to include some inbuilt machine learning so that it becomes point-and-click, rather than us developing models out of API and BI connecting to that and getting the results. That process gets in the way of continuity.

I've been using this solution for two years.

Power BI's stability has improved in the last few years and now seems pretty good, especially with R.

I don't know if BI is directly scalable, but we used a lot of aggregated marks in order to make sure it is able to work with a huge number of roles in the data set. Microsoft demonstrated that they were able to achieve up to one trillion rows, and we haven't got there, but we did get close.

Previously we used Excel, which took a long time - two or three weeks - to bring the data into a uniform format, whereas BI can do the same job in a day.

If you're on Azure, Power BI is tightly integrated with many of the products. And even if you have a non-Azure solution, the family of connectors for data sources is wide, so you can fit it in many places. I would rate BI as nine out of ten.

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.

We are implementing it for dashboard presentation. For example, one of our customers is in the energy sector. Another one is in the government sector, so it's dashboards mainly.

The ability to create dashboard presentations for various sectors is a valuable feature. It's an excellent product.

We would like it if they added more Python libraries in the Power BI service. For Power BI service right now, you can use Python, but it is limited to a few libraries or a few packages from Python. Other than that, it's an excellent product.

Another area that could be improved is maybe more extensions or more visuals.

I have been working with Power BI for four or five years. I am working with the latest version. It's a monthly release.

The solution is stable.

Microsoft BI is scalable.

I would rate this solution 9 out of 10.

For someone who is looking into implementing this product, my advice is to check between the two versions because Microsoft Power BI is not one solution. You have one solution which is coming with SQL services on-prem and you have the cloud solution. You need to check because there are differences in the features. Anyone who is implementing Power BI needs to be careful on which platform they're using: on-premise or on the cloud. There is a difference in the features between the two solutions.