Microsoft Power BI Reviews

In January, I successfully published my application on AppSource, specifically targeting retail customers. Recently, I received positive feedback from a customer, which was truly gratifying. It seems that my application is Microsoft's preferred choice as it effectively addresses the majority of customer requirements and is tailored to their specific requests. 

Apart from retail applications, I have also developed solutions for BigChange, an organization dedicated to driving significant changes. Additionally, I have worked on creating reports focusing on production efficiency within my company. These reports have been well-received and have provided valuable insights. Lastly, I have recently worked on an application that involves managing IT resources and has developed a multi-dimensional model including SSIS and Power BI.

For the last project, I worked on creating data flows and implementing incremental refresh functionality. However, there was an issue we encountered regarding the date field in the tables. The existing portal dates were incorrect as they did not reflect changes in the records. To address this, we collaborated with the developers to introduce an additional column that accurately captures modified data in the system. This improvement has proven to be significant, and it can be implemented using the pro license, rather than relying on the premium license, as the premium license covers different aspects.

The Pro license offers great features such as incremental refreshing, which is highly beneficial. While it doesn't include direct query capabilities, I believe that many customers don't actually require direct query functionality. 

Currently, the developers in my company are busy adding a column in the API as part of our transition to BC Start. Our intention is to gradually migrate our customers to SQL Server, and that's why we are using the app.

In a simplified manner, when working on-site, you cannot directly connect to the regular table without using APIs. That's why the APIs need to be modified to include an additional column, making it suitable for incremental refreshing. Apologies for any disruption caused, but I hope this explanation clarifies the situation.

They find Power BI's data pull mechanism to be sufficient and cost-effective, especially considering the stability it provides. In comparison with other solutions, Power BI stands out as a fantastic choice. Therefore, I would definitely recommend sticking with the Pro license.

I believe there is room for improvement in terms of authentication and certain functionalities in Power BI. For instance, adjusting the width of columns is not easily done, as there is only an option to enable or disable automatic adjustment. 

This can be a significant drawback for clients who desire more flexibility.

Additionally, changing styles and formatting options for numbers require external tools, which can be inconvenient and time-consuming. Ideally, Power BI should incorporate these features within its platform to enhance user experience and eliminate the need for external tools.

I understand your frustration with the lack of automation and dynamic features in Power BI, particularly regarding the assignment of dynamic titles and content titles. While there are some options available for creating dynamic titles, they may not fully meet your specific requirements. It would be ideal to have more flexibility in manually assigning the desired typography for each call and dynamically setting content titles. Although it is possible to find workarounds for these limitations, I believe Microsoft will likely address these issues in future updates to improve the user experience. Despite these shortcomings, Power BI remains a powerful and highly capable application, and I would rate it an eight out of ten.

I have a strong belief that within the next couple of years, or even sooner, significant advancements will be made in Power BI. These advancements will make it even more powerful and I am confident it will become truly exceptional. I have complete faith in the future development and potential of this platform.

I have been working with Microsoft BI since the start of 2020.

I am working with the latest version.

Microsoft BI is very stable.

Microsoft BI offers scalability, particularly with the availability of premium capacity. With premium capacity, whether it's per user or a dedicated resource, Microsoft BI can effectively handle increased data volumes and accommodate growing user needs. 

Microsoft BI offers scalability in specific areas, but it is important to note that scalability options are limited to certain aspects and may come at a higher cost. For instance, the premium package, which starts at around $5,000 or more, provides enhanced scalability features. However, if you opt for the per-user licensing model, the scalability may be constrained as it is tied to the number of licensed users. Therefore, in terms of scalability, the per-user option may have limitations compared to other packages.

I wrote to Chris Web, and he replied to me immediately. He is the principal program manager at Microsoft.

I have him I have him working And, usually, I don't contact them, only when it is something serious. top expert and experts, and they reply, you know, has been one for us. It's great

In my professional experience, I have primarily worked with AS (Analysis Services), Power BI, and SSIS (SQL Server Integration Services).

Last week, I worked on creating SSRS (SQL Server Reporting Services) reports and integrated them with SSAS (SQL Server Analysis Services). Additionally, I hold a Microsoft certification in this field.

The initial setup is straightforward. It is very easy to set up. it is very intuitive.

Perhaps it's because of my experience and expertise in the field that I approach things with caution. I don't take things for granted. Just because I obtain a certain result doesn't automatically mean it's correct, as there may be errors that are not displayed.

It's important to carefully check the measurements and ensure their accuracy, especially for beginners who may not be familiar with these nuances.

Maintaining the system is not difficult due to the availability of the admin platform. When it comes to permissions and access, it becomes straightforward as long as the customer's requirements are clear. 

You can easily define the level of access they need, whether it's building, reviewing, sharing, or restricting data access for online viewing. Depending on their specific needs, setting up gateways and configuring other settings is also simple. 

It's important to have a clear understanding of their security requirements and engage in discussions with the customer to determine the best approach. 

Often, customers may not be fully aware of what they want to achieve, and it's our job to help them identify their needs.

Especially for clients, it's important to understand that achieving the desired outcome is not as simple as just completing the task and generating the report.

There are several factors and considerations that come into play. Careful attention needs to be given to the creation process by different stakeholders if you truly want to achieve an exceptional result. 

Even small changes, such as removing certain elements from the selection or adjusting formatting, can have a significant impact on the report. Users may perceive the tool as being the same regardless of these details, but the difference between a subpar report and a high-quality one lies in the expertise and knowledge of the creator.

There are various options available for creating reports, particularly focusing on online reports. However, the foundation of the process lies in Power BI Desktop. Whatever we develop in Power BI Desktop can be published and accessed through a unified platform and tool. 

Data flows enable us to make necessary modifications, similar to working with Power Query and related functionalities. Personally, I find working with Power BI Desktop easier due to its comprehensive features and user-friendly interface.

You can gather data from various sources, including data flows, RBI databases, and SharePoint, among others, and then create and publish your report. While you do have the option to connect to online sources directly, I personally find that working with local data feels faster, at least for now.

Microsoft BI is considered to be competitively priced when compared to other similar solutions in the market.

I haven't had the opportunity to work with other tools as I found Power BI to be excellent. No one has specifically asked me to explore other tools.

However, I did purchase some tools on my own for personal learning purposes, particularly for tabular data. I may consider exploring other tools after June 15th, once I have completed my Microsoft exam DP-500 for Synapse.

Power BI is a complex tool that should not be taken for granted.

Its capabilities and functionalities are multi-layered, and the more you delve into it, the more you realize how much there is to learn. 

It can be both challenging and fun to explore the different features and unlock the full potential of Power BI.

As a BI developer, I joined the company without prior experience in BI. Since December 2021, I have been working on establishing a BI deployment in collaboration with a partner. My main focus is to create and enhance internal and external applications for app stores. Currently, my task primarily involves developing a new deployment strategy.

I would rate Microsoft BI an eight out of ten.

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.

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.

My company uses Microsoft BI for reporting purposes. In my company, we extract data from different sources, put it in the staging area, and then use Microsoft Power BI to build the reports and dashboards.

The most valuable feature of the solution is that it is an easy-to-use tool.

Microsoft BI lacks integration capabilities, so it needs to consider increasing its integration capabilities. Microsoft BI needs to improve its mobile application compatibility so that people view their reports and dashboards through a mobile app since, nowadays, people move towards tools that are in the digital transformation phase.

I have experience with Microsoft BI. I recently joined a new organization where I see Microsoft BI being used extensively.

Considering that most people in my organization use Microsoft BI, I can say that it is a stable solution.

Microsoft BI is a part of Microsoft Power Platform, because of which Microsoft can increase its capacity based on the needs and licenses of its users.

Around 20 people in my company use Microsoft BI.

My company plans to increase the use of Microsoft BI.

The initial setup of Microsoft BI is straightforward since it comes along with Microsoft Power Platform.

The solution is deployed on the cloud.

I am unsure about Microsoft BI's deployment process since it was already deployed when I joined the organization.

In my company, we have two developers and two testers to look after the deployment and maintenance of the solution.

The company's in-house team did the installation process of Microsoft BI.

When my company compared the price of Alteryx to Microsoft BI, we found Alteryx's price to be higher than Microsoft BI's price.

In general, Microsoft BI's price is lower compared to Alteryx.

I am not a user of the solution at the moment. I am an architect taking time to evaluate and see how my company can use Microsoft Power BI.

Our company hardly finds a tool where we can say one size fits all, so we need to use other tools for larger amounts of data and data cleansing.

It would be effective for those planning to use the solution to find the best solution that suits their requirements.

I rate the overall solution a seven out of ten.

It’s not just a specific tool I use when providing solutions. In these scenarios, clients often have a significant Microsoft presence with servers for data collection, whether it's in a data lake, data warehouse, or a data lake house. Their users typically require reporting, dashboards, or ad-hoc queries based on their specific business needs. However, most vendors tend to offer inflexible solutions, focusing on predefined reports.

Power BI stands out because it provides considerable flexibility in creating reports, dashboards, and various types of analytics to meet those dynamic requirements. It is lightweight and easy to use with good support.       

Microsoft BI typically connects to a database, often SQL Server, but it's also capable of connecting to multiple databases, pulling data from them, and allowing for data consolidation. You can then aggregate and generate dashboards and reports from this combined data. Personally, I wouldn't claim to have the expertise to suggest significant changes or additional features, as it functions quite well as is.

I have been using this solution for the past five years. 

It is a stable solution. 

It's a cloud-based platform, and it scales seamlessly based on your usage, which is one of the key advantages of cloud services. You pay according to your usage, without worrying about licenses or ownership. However, there are some limitations to consider. While it's a front-end tool for visualization and analytics, it lacks extensive customization options. If you require complex reports or queries, Microsoft offers support to help you achieve those goals. In my experience over the past five years, I haven't encountered any use case that couldn't be addressed with Power BI. On the contrary, I faced performance issues with other tools like Spotfire, which prompted us to explore different solutions. The effectiveness of Power BI also depends on factors like architecture, deployment, and network quality. If network configurations aren't optimized, it can lead to slow data transfer. However, being a cloud-based solution, the cloud infrastructure often manages these issues. Nevertheless, if you want the best performance, you might need to invest in improving your network infrastructure.

Positive

I'm not very familiar with the licensing aspect, as it operates in the cloud as a SaaS (Software as a Service) model. Essentially, you pay based on cloud cost models, which might include hourly rates or similar billing structures introduced by Microsoft. Many organizations utilize it and pay for its services, somewhat like Office 365. It's a cloud-based platform that provides the necessary services, including support, for development, and you pay accordingly for the usage.

 would recommend the solution, rating it eight out of ten. There’s no such thing as an ideal product. In my perspective, perfection remains an unattainable goal. However, I can't rate it lower than eight because Microsoft actively invests in BI's development and expansion. They have a roadmap and allocate resources to it, which is evident in the growing user base. This continuous growth adds value to the product and benefits its users.

We use Microsoft BI all over our enterprise but our main use is for the organizational dashboard. My organization sends all of our systems and ERP data into a Power BI dashboard, which goes to all the managers, the leadership, and then gets reported up to the company executives.

Microsoft BI has helped out the organization because it has brought visibility of our data across the organization allowing everyone to see the same metrics.

My favorite feature is the power query editor, where it can do the data transformations.

Microsoft BI could improve by having better collaboration between developers working on the same dashboard. The developer platform is all done on a single laptop and it's difficult to have the same project files work. Two developers have to go back and forth. You have to have the project file on one developer's laptop making it difficult to co-develop.

In terms of the performance, it could always improve sometimes. It's only slow to update. The automated data feeds have to be all updated.

I have been using Microsoft BI for two years.

The stability of Microsoft BI is very good. We have not had an issue.

Microsoft BI has scaled very well for us. We have a very large organization with users all across the company.

We have approximately 100 users using this solution. It's a standard program for analysts and even managers will use it. It is a standard business analyst software. 

The solution is extensively being used in our organization.

I have not contacted Mircosoft for technical support. I only use our internal support.

We previously used SAS and it is similar to Microsoft BI. It's a little different in the visualization. It was more on analytics, but it also had the visualization.

We had SAS Enterprise Guide which was on-premise. When they were looking at cloud solutions, they kind of opened it up for more possibilities. The deciding factors of why we switched to Microsoft BI was we already had many Microsoft products and we have a SQL Server Data Warehouse. There's good integration between our existing Microsoft systems with Microsoft BI.

I was part of the initial user testing of Microsoft BI, but it was mostly IT that handled all the initial implementation.

We have a dedicated IT team of two administrators that support Microsoft BI. One of the administrator's full-time job is to manage the Microsoft BI.

My advice to those wanting to implement this solution is to do some training. There is enough training curriculum available to get people going.

I rate Microsoft BI a nine 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.