Microsoft Power BI Reviews

The solution is basically used for data. It's on a proprietary piece of equipment on which we collect data. We look at impurities in molten metal, and it's a database and it keeps track of all the batches that we have through the furnace that we have. It tells when it's dirty and stuff like that. It's a large database that we keep track of the history of all the ingots that we run.

The solution serves its purpose. When you have the recurring cost every year on this other project, Qlik Sense didn't fit with it as you'd have to have Qlik Sense plus something else. 

As long as you don't need the data in real-time, it's okay.

The solution is stable.

We have found the product to be scalable. 

We looked at it for these two new projects too, however, we needed more real-time data on this other project and so it wasn't a good solution and we thought Qlik Sense would work better.

If you need data in real-time, it's not an ideal solution.

I've dealt with the solution for about a year or so at this point.

From what I have seen, the solution seems to be very stable. There are no bugs or glitches and it doesn't crash or freeze. It's reliable. 

The scalability of the product has been fine. We can expand it if we want to.

I've never contacted technical support. I cannot speak to how helpful or responsive they are. 

We have more of an industrial type application and we're going to have Tulip interface with Qlik Sense or we're just going to use Domo's platform. Domo is more expensive, a little bit more expensive, however, one of my colleagues here already used Domo and he really liked it, so we're gearing towards Domo. We haven't purchased it yet.

We looked at Qlik Sense. However, when you have the recurring cost every year on this other project, Qlik Sense didn't fit with it because you'd have to have Qlik Sense plus something else.

Our corporate office may have some sort of agreement with Microsoft. We're just an end-user.

Corporate is kind of pushing Microsoft BI, and they have questions about using it for this project, however, we had an IT consultant that said it's not a good solution.

I would rate the solution at an eight out of ten. It's not ideal for every application, however, it works pretty well.

We use this solution for dashboards and reporting.

We work in manufacturing and we track any incidents that we have regarding safety.

The most valuable feature of this solution is real-time report tracking. For example, we have a report for a human body and the human body is populated with injury data. In real-time, we can see where most of the injuries have occurred. 

It is a difficult tool to use and it's hard to figure it out.

It's not user-friendly; more tutorials, training, and better documentation would be helpful.

I have been using Microsoft BI for three months.

We are running the latest version.

I don't have any issues with the stability of Microsoft BI. It's a stable solution.

It's mainly used by developers. We have 10 to 20 developers who are using this solution in our organization.

Technical support could be improved. If you are able to get someone it's great, but if you don't then you are left hanging. 

Previously, they were using BusinessObjects.

With the EA agreement, we get access to everything from Microsoft. It just made sense to switch.

The initial setup was completed through our internal Microsoft team.

Licensing costs are on an annual basis. There are no fees in addition to the licensing.

For anyone who is interested in using this solution, they should hire a dedicated Microsoft team to implement it, and get a lot of training.

I don't know it well but I would rate it a five out of ten.

There are multiple use cases. I can't count them even on my fingers. There are around 20 to 30 solutions we have been deploying. We use it across finance, procurement, HR, engineering, and whatnot. Each of the domains we have touched. Data visualization is the main need of any organization. With Microsoft being in our ecosystem, Power BI works perfectly well for us.

The solution overall works quite well, especially if you have a Microsoft-heavy ecosystem.

The ease of creating the dashboard is quite good. 

The analytics are very strong when we couple it with Azure. It offers very good Big Data Analytics that work perfectly well. 

Scalability is not at all a problem. 

You can perform the role-based access perfectly. It gives you everything you need with a single sign-on authentication due to the fact that we are in the Microsoft environment.

You don't have to worry about security. That is very robust.

What matters most is the turnaround time to create a solution, which is quite fast. This is due to the fact that it's quite intuitive in nature. Even those new to the solution can create solutions very quickly. There isn't a high learning curve.

The initial setup was not difficult.

The pricing has been pretty good. 

Technical support is quite responsive.

Overall, the solution is quite intuitive.

If I compare it to Tableau, I'd say the visualizations can be better. We should have multiple options. By that I mean, while there are multiple options for the visualization, the look and feel of the dashboard when you compare to Tableau is on the lower side. Tableau has a much better visualization.

We've been using the solution for three and a half years at this point. We've definitely used it over the last 12 months.

The product is quite stable. It works well in the Microsoft environment. It doesn't crash or freeze. there are no bugs or glitches. It's reliable.

The solution scales very well. If a company needs to expand its offering, it can do so easily. It's one of the selling points of the solution.

We have about 60 to 70 people on the solution currently.

We already are deployed it at a global level. It's just not India-based. We use it across our organization, and it is getting used a lot.

We've dealt directly with technical support. They have been responsive. We have called them multiple times and the response was good. We are quite satisfied with the level of service.

The initial setup was okay. We didn't have any problems. I wouldn't call it complex. I'd describe it more as straightforward. It took us around three or four months to set up and deploy the solution.

We have a yearly contract. We signed up for three years and that rolls over annually.

We have a bundle, an enterprise-level package. Its pricing is good for us.

We did evaluate Tableau for a moment, however, due to the existing license of Microsoft, the default choice was Power BI.

We are using the latest version of the solution. I can't recall the exact version number.

It's one of the leaders in the top data visualization and analytics toolsets. I'd advise other companies to go for it. It's stable, scalable, and a powerful product and it comes very handy when you want to create visualizations very fast. It's a go-to product if you want to go for data visualization and reporting.

Overall, I would rate the solution at a nine out of ten.

We use the tool for data analysis and reporting through dashboarding, identifying trends, and mapping.

The product is intuitive and user-friendly. It could be rolled out to anyone across the business. DAX is a good feature. The real-time dashboard updates are good. The ease of integration is good. We connect it to different databases. The clients we work with work on different databases. It is easy to manage and share Power BI reports across different teams and departments.

The solution struggles with large amounts of data. It has some limitations. Sometimes, we don't know if we have the full picture.

I have been using the solution for four years.

I rate the tool’s stability a ten out of ten. I haven't come across any issues.

I rate the tool’s scalability an eight out of ten.

The deployment is not difficult. It is relatively easy to maintain the product. For our needs, we need one person to maintain the tool.

I have used MicroStrategy. Power BI is more user-friendly. When we roll it across the business, it's easier for the users to use. MicroStrategy can handle large amounts of data.

Overall, I rate the product an eight out of ten.

To gain insights into our sales and financial aspects, we use the Power BI solution, which provides us with valuable information and analytics.

One of the most valuable aspects of this tool is its ease of use and the ability to easily share information with others.

There is room for improvement in terms of pricing for the solution.

We use Microsoft BI in our organization. I have been working with it for two years.

We have implemented the Power BI Pro solution in our organization.

I would rate the stability a nine out of ten.

I would rate the scalability a nine out of ten.

We have plans to increase our usage in the future.

I would rate the technical support a nine out of ten.

We use fast track support and it is very good.

I have been acquainted with SolarCloud for three months.

I haven't worked directly with the solution, but I downloaded the eBook to learn more about it.

Due to our extensive experience with the tool, the initial setup was straightforward and uncomplicated.

We have seen a return on investment.

The pricing for the solution is relatively higher compared to other alternatives.

I am a cybersecurity analyst.

Knowing the numbers and having comprehensive insights are important for our organization. It holds significant importance for various teams, including finance and other departments, to make informed decisions and drive overall growth and success.

I would rate Microsoft BI a ten out of ten.

My primary use case of Power BI is to generate dashboards and reports based on past data. Especially for people who aren't engineers, like purely business people, Power BI is helpful because it allows them to analyze and assess their complete business solutions end to end. Power BI provides insights that can help company growth, in terms of revenue and ROI. This solution is cloud-based. 

The most valuable feature is that it's easy to use. It's very useful for non-engineers and it is the ultimate solution for providing information and insights. Power BI is the best visualization tool I have ever worked with. 

This solution's performance when handling big data could be improved. Right now, if you're handling big data, the application becomes slow and the performance is very low. 

Other than that, their licensing costs could be lowered. Microsoft handles everything. For example, if I want to publish a report order from Powerpay, Microsoft doesn't allow me to do this. It's a complete business, but the licensing is very costly. I don't think Microsoft will change their pricing system, though. 

I have been using Power BI for the past five years. 

Power BI can handle a maximum of one to four gigabytes of data, but the performance becomes very slow if you handle big data. Since this solution is cloud-based, it's always updated to the latest version. 

The development is very easy because it depends on each computer. Power BI is a desktop solution that you install on your computer. Once I complete my development, I publish through the internet, which the external users are using. The number of users doesn't matter. 

There is a Power BI community, which I'm very happy about. They're there for anything and they're very helpful. In the past, Microsoft has helped us with infrastructure problems. 

In the past, I worked with other Python data visualization tools like Dash and Panel. Compared to those tools, Power BI is very easy.  

The installation is very straightforward. I did it myself and it took barely ten minutes. 

I implemented this solution myself. 

You don't need a license for the development, but if you want to publish to external users, you need a license. The licensing is very costly, but I think that since the advantages and benefits of Power BI are so high, people are willing to pay. I can't blame them. 

Another visualization tool I've heard of is Splunk, which helps to handle and visualize huge amounts of data. In the future, if Power BI is unable to handle this sort of streaming data, I may consider switching to Splunk. When I extract huge amounts of data with Denodo, Power BI becomes very slow—for example, it takes more time for the display to load. Right now, Power BI can handle a maximum of around one to four gigabytes, whereas Splunk can handle very large amounts of data. 

I rate Power BI an eight out of ten. I recommend this solution because it's the best visualization tool I have ever worked with, but the licensing is costly. 

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 are using it for financial analytics and reporting. We are using it to keep a track of projects and being able to degrade the projects. We are also using it for contract closeout.

My technical guy has been using the first version of it since it came out, but we are getting ready to upgrade to the newer version. It comes along in a bundle with the 365 Enterprise version.

It is on the cloud. We're probably going to run a hybrid because we want to be able to move around. If anything happens or if needed, we can move from platform to platform.

We can see things from a bird's eye view. We can do predictive analytics. I can tell who's capable, who's doing what, when and how much money they're spending, and how fast they're burning. So, it gives us a bird's eye view over the financials and the money. It basically gives us the ability to collaborate and keep track of everything that's going on in an organization. We were able to bring all the collaboration and tasks right into Power BI.

It is easy to use. It has got a desktop where people can develop their own dashboards. Basically, we have figured out how to connect finance contracts and all programs for the government agency. So, they can see everything in a dashboard. So, it is very easy to use from a technical standpoint of view. We publish a report every morning for the government, and we got all the data into one place. The data can be refreshed. We are using the API to connect to various systems, such as the financial system, contract writing system, and workflow. We are able to bring things from NIPA, which is their budget and where they keep all their money. There are a lot of features, but the most important thing is it is very easy to use. It is not like Tableau. With Tableau, you've almost got to be a rocket scientist.

On the user side, it is quite simple. If you know how to run a pivot table, and then you can do almost anything. All the data is right there in the database. So, if you understand pivot tables and know how they are run, and you know the reports that you are looking for, then everything becomes very easy to run in your organization.

Its desktop tool is a little bit memory CPU intensive, and it can be improved, but the machines nowadays come with a lot of memory. For the desktop users who are using it on the desktop, we recommend that they do an upgrade. It is a minor issue. We can fix it on the desktop.

We've been using Microsoft BI for about four and a half years.

Its stability is pretty good. It is pretty stable.

I would rate it an eight out of 10 in terms of scalability. Currently, we are running a pilot. We're doing a pilot for army headquarters. They dictate what happens and what they use. Currently, there are 10 users, but I'm looking to go up to at least a hundred. 

We got an architect and an assistant administrator. We got a staff of three and a half people because people take vacations or sick leaves. The good part about it is that these people can work from anywhere.

We are a Microsoft reseller. We have partnered with Microsoft. We have developed a relationship with their technical folks over the years. So, we kind of go directly to them. My partner came from Microsoft, so he has a very good relationship with a few technical folks. So, we, kind of, have some special privileges that a couple of other vendors don't have.

As a matter of fact, we had built a tool, but it took so long to get it vetted and get it through to ATOs. That's when we decided to convert to Microsoft Power BI. It has already been vetted and approved in the army environment. It is an approved government site for cloud services. We were looking for the easiest path, and that's why we worked with Microsoft BI. They've already been embedded into the government. It is bundled with Office 365.

If my technical person had to rate it, he would say very easy. All we need is to have the software.

It was done in-house.

They are charging us by users in storage, and there is a license fee. My financial people handle all that. The client has already worked out a contract with Microsoft, and basically, we're getting government prices.

The backend is the most important part. We understand its backend. We implemented the on-time system for an airport. We don't find its modeling complicated. We set up the back offices and get all the modeling done and everything connected. The customer doesn't even see that. They only see the part where they're running their reports and doing the analytics or whatever they need to do. We give them all the information at their fingertips.

Everybody is going to Business Analytics. A lot of people don't understand the difference between analytics and coding, but that's something for me to teach and educate them on.

I would advise doing your testing and environment setup. You should evaluate your product very well and figure out what platform your organization is running on. You should be careful and look at how well it integrates with other products. If you're not in a Microsoft environment, it is going to be quite difficult. Oracle and Microsoft are competitive. So, you go with one or the other. The reason why I like Microsoft is that they integrate with all applications. Microsoft controls 99% of the desktops.

I would rate Microsoft BI a nine out of 10.