Microsoft Power BI Reviews

I'm a call center consultant and I use Microsoft BI to receive in-depth metrics. I download the metrics from the contact center and then I can figure out what's going on in the contact center. Additionally, if we integrate it with other tools and databases, et cetera, we can receive a better understanding of what is happening. For example, we had a customer that made products for Costco and Walmart and if they had an engineering issue or a problem, they don't find out about it until they saw the orders from the engineering team explaining what the issue was.

We added a screen to the agent's desktop and listed the model numbers of the products and then used Microsoft BI analytics to see what particular problem happened to what product. The executive could drill down and hear the calls as to what the customer was saying about the issue.

The executives liked the data, the engineers liked hearing what the customers were saying about the certain product that had an issue.

Microsoft BI is easy to use and to design. I found Microsoft BI a lot easier than Tableau.

You can set Microsoft BI up for administration to use it and then you can set up views for your end-users to look at. For example, if you are a report analyst you could have your marketing person wants Microsoft BI to report on how many widgets the East Coast sold in five years, if you set Microsoft BI up the right way, they can retrieve that information themselves. You save manpower from your IT staff.

Microsoft BI is a lot easier to analyze data than with other solutions, such as Excel.

I am taking a course to be able to use the solution better. Some aspects of the solution are not straightforward.

I have been using Microsoft BI for approximately one year.

I have found Microsoft BI is stable. 

I have not had any issues. I am a new user myself, and I typically suggest an application that I have found good and then somebody else that I work with, would set it up.

The solution has been scalable for what I use it for.

I have not used technical support.

I have used Tableau.

The initial setup is very easy because it is on the cloud. You only need to have your database and connect it to Microsoft BI. They have different connectors in order to make it easy to do.

I have not had a customer suggest the solution is too expensive. There are licenses to use the solution.

The solution has all the features I need, I do not use large data sets.

I 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.

I would describe myself as more of a casual user, only because I have so many other things that I have to get done. I wish I could be more of a user, but it's hard. Right now, I have two different main use cases. I use it for teaching. At another institution, I use it for demonstrating how easy it is to build dashboards. It was really to show to all my users the benefit of business analytics. I use it to demonstrate how easy it is to generate your own analytics versus having a department run reports for you then putting it in Excel and making graphs. 

I like the fact that Power BI lets me use Excel data. At least 90% of my state data is in Excel spreadsheets. Having the ability to just attach a spreadsheet as a data source is very, very important. It's also good for training and teaching. Sometimes you don't always have access to a live production database, so having a spreadsheet with sample data is always nice.

The Microsoft BI interface should be simpler and more user-friendly. I find it very difficult to move between their data sources and their analytics section. It's probably designed by data analysts that typically get the data from somewhere else. So, one person logs into Power BI, moves the data around and puts it in the proper form then somebody else goes in from the dashboard. What I'm finding more and more is that the person playing with the data is also going to be the person building the dashboard, so the interface needs to be more seamless and dumbed down for the average user. 

Tableau is much better at that, which is probably why it's more expensive. The days where one person works on the data and someone else does the analytics are coming to an end. In the past, larger organizations usually had a dedicated analytics team and a dedicated data team. Now we buy data as a service, so we got rid of our data team and we don't have analysts per se. Instead, we have smart users. So I think Microsoft BI needs to move on to the next iteration of truly user-friendly solutions.

I've been using Microsoft BI for about three years.

Microsoft BI has never crashed on me.

I honestly can't comment on how scalable Microsoft BI is because I've never taken it beyond training or simple use. But I would imagine, if it's on Azure, that it's scalable. I haven't had the pleasure of scaling it, so I don't know, but it doesn't strike me as a solution that would have problems with scalability.

I have not had to contact technical support, but I've actually downloaded and taken three Power BI courses for free and they're very good.

I was using Tableau but the licensing cost went up when Salesforce required them to raise the price. But if the price hadn't changed, I would've absolutely stuck with Tableau because I like it. I do not know about the cost of the licenses. We buy it from the state and when it went up, our CIO at the time said no more Tableau licenses. I had to scramble to find a replacement, and fortunately, I discovered that Power BI is included in Microsoft 365. However, I prefer Tableau's interface. Microsoft BI's user interface is convoluted in terms of how you attach a data source. You have a separate screen for defining your data and then you have to jump to a different screen to model the results. In other words, there are two separate interfaces for data and analytics. In Tableau, it's more seamless. 

Setup is very easy. You click on the icon, download the MSI, and it loads itself. It takes about a couple of hours to deploy overall.

I'd rate Microsoft BI as an eight out of 10. The biggest drawback is the user interface. From what I'm seeing, Windows 11 is going to have a more user-friendly interface. Even Microsoft Edge is adopting a more user-friendly interface. I'm hoping that Power BI follows this trend as well. 

My advice for anyone who is thinking about adopting Microsoft BI is to understand what you're trying to do with it. If you're trying to do analytics with it, then it depends on the kind of analytics. If you're want to do statistical analytics, it's not the tool for you. It's a tool that's better suited for visual analytics than it is for straight-up analytics. If you're dealing with patterns and data, it's great. If you're working with numbers and data, it's not so good. You're better off with a statistical package.

Microsoft Power BI is an easy tool for data analysis. It's easier to get the data from different data sources and then create a visual representation. Using the tool comes easily and naturally to people proficient with Excel. You need to have an understanding of data modeling and how the data works. Once you work with Power Pivot, I think Power BI will be a better upgrade than other tools in the market.

There are some issues with Microsoft Power BI's integration with OAC because it's currently in the beta phase. We face multiple issues, and the connection drops off multiple times while integrating Microsoft Power BI with OAC and pulling in the data. The solution's integration capabilities have created some issues for us, especially while retrieving data.

I have been using Microsoft Power BI for over seven years.

The solution's technical support has not been very helpful. I have solved my issues by myself and found a workaround for it.

Neutral

I have worked with multiple data visualization tools, such as SAP One and SAP BusinessObjects, where you had different tools for data visualization. I think each tool has its own unique capabilities. The biggest advantage of Microsoft Power BI is its integration with Excel and how it is an upgraded version of Excel. We all know how Excel is used in the market, so Power BI has a strong advantage over its competitors.

I use the solution for myself, and I recommend it to my customers. I would recommend the solution to other users.

The selection of the visualization tool clearly depends on the data sources. I would recommend Microsoft Power BI if I worked for Microsoft. Otherwise, I would recommend other better tools available in the market. It completely depends on the data source and the data volume. I would not recommend Microsoft Power BI if the data volume is very high because it will tend to freeze your report.

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

We use the solution for data analysis. 

The tool's most valuable features are slicer and Microsoft Copilot integration. It also allows users to see reports on mobile devices. The solution can also integrate with various data sources. 

The limitations within Microsoft Power BI include the volume of data it can handle, as there's a cap on the number of rows you can keep. When you pull your data and build your models, you're restricted by this row limit. Additionally, certain SSRS features are deprecated, which can be a drawback for users who rely on those capabilities.

I have been working with the product for three to four years. 

I rate the solution's stability a seven out of ten. It has limitations on rows, datasets, and the things that can add to the memory. 

I rate the product's scalability a ten out of ten. It is resilient and scalable. 

I am a technical supporter and can support myself. 

Before Microsoft Power BI, we used Reporting Services. We switched to it because it is part of Microsoft's ecosystem, and Microsoft has mapped the roadmap for visualization from SSRS to Microsoft Power BI.

I rate the solution's deployment ease a ten out of ten. It is easy and can take around 14 hours to complete. 

Microsoft Power BI's deployment was done in-house. 

The solution's pricing is medium.

I would recommend Microsoft Power BI based on the use cases. I rate it a seven out of ten. 

In terms of impact, Power BI significantly improved decision-making and instilled confidence in our data. It also resulted in cost savings by avoiding the purchase of expensive Oracle integration tools like ODI. These savings were crucial for our fast-growing company, allowing scalability without increasing expenditure.

The most effective feature of Microsoft Power BI for data analysis is the ability to use Power Query directly from Excel. Power BI's integration capabilities impacted our data management by allowing us to push all reporting down to the end user, giving them the capability to perform "what if" scenarios and discover and validate their own data without needing to refer to IT. Additionally, it provided insights that we couldn't get from Oracle Cloud. We wrote an extract routine to transfer our Oracle Cloud database to Power BI, which was a game changer in terms of giving people confidence in the finances.

It was easy to implement Microsoft Power BI into our existing infrastructure, but integrating it with Oracle Cloud was very difficult. The integration with Oracle Cloud required us to build a sophisticated database replication process because the APIs for Oracle Cloud are very restricted in terms of volume, depth, and complexity of queries. However, the part of implementing Power BI into our infrastructure was very easy. It required almost no tech input because it was all part of Office 365. To overcome the integration issues, we developed an extract and update process, although it was quite complicated and involved a lot of IP.

Power BI excels in integrations and its ability to handle various data sources. It would be beneficial if it could integrate more seamlessly with cloud interfaces like Oracle Cloud, although I understand the challenges with Oracle's policies on database access. Another area for improvement would be enhancing error messaging, especially when working with Dataverse and M Code for automation.

I have been using Microsoft Power BI for the past ten years.

I would rate Power BI overall as an eight. It's a very powerful tool for users, which I appreciate. However, there are some areas that could be improved.

As for AI-driven decision processes, I believe Power BI supports them, although we haven't utilized those features ourselves.

I use the solution to generate analytics reports for most of the projects we are engaged in within our company.

Some controls and integration capabilities of the product require configurations with the help of NoSQL databases, as it is one area where the product has certain shortcomings.

At times, I feel that the system needs improvement in single sign-on, especially for the on-premises side of the tool.

At times, I see the product freeze in unexpected areas. Unknown exceptions appear in the tool for no reason. One problem with the tool arises from the fact that it does way too much monitoring, impacting areas like reports and performance. The aforementioned areas can be improved in the product.

The tool should provide cloud support to help users deal with problems related to the frozen servers.

I have been using Microsoft Power BI for five years. My company has a partnership with Microsoft.

It is a stable solution. Stability-wise, I rate the solution an eight out of ten.

Scalability-wise, I rate the solution a nine out of ten.

Around 100 people in my company use the product. Most of the product's users are managers in my company.

The problematic licensing part of the product influences my company's decision on whether to increase the use of the product.

I haven't seen any major problems when dealing with the product's support team. The product's support team is friendly, but I think there are problems in Microsoft's internal communication since a problem gets distributed between multiple internal teams.

The product's initial setup phase has no problems unless we choose to have it integrated on an on-premises model and not on a cloud version. 

Most of the product deployments are carried out manually by our company.

My company opens reports and publishes the report files for the projects being handled. My company gives required permission for other users to access the reports.

The solution is deployed on an on-premises model. 

The solution's deployment process is simple to handle, but problems appear in the area of domains, considering that Microsoft Power BI manages the configuration part.

My company needs to make monthly payments towards the licensing costs attached to the product. Considering my company's turnover, we need a tool that offers more flexibility and allows us to increase or decrease the solution in our environment.

Tableau offers more flexibility in service compared to Microsoft Power BI. Microsoft Power BI is simple to use compared to Tableau.

Microsoft Power BI has improved our company's data analysis and visualization tasks since it helps simplify our work. My company is able to generate data analysis and easily deal with visualization tasks.

The most valuable feature of Microsoft Power BI for data storytelling stems from the integration with different types of products along with the support option it provides to help integrate with other tools. Caching in Microsoft Power BI would improve the organization's performance.

Microsoft Power BI's Q&A feature impacted our company's data exploration efforts since it is an area used by many types of users, including those involved in management and analytics, as it helps with cross-filtering.

The product's real-time dashboard and data refreshing capabilities are good, but it freezes without showing any status during the data retrieval if the volume is high.

It is not possible to use the product's in-depth features since it requires many controls and user interfaces.

The product is mainly for managers who want to track work details.

I rate the overall tool an eight out of ten.