Microsoft Power BI Reviews

I've mainly worked within the banking sector. It is particularly useful for vertical clients. Power BI is a great tool for reporting. You can source data from any database, like Oracle or Microsoft SQL. It generates reports and provides methods to control your report's power.

Power BI works with both real-time and offline data. When interacting with real-time data across multiple systems, it offers a great advantage.

I've worked with real-time interactions and appreciate them, similar to how AI is increasingly being incorporated. It's fascinating to see the shift towards AI.

Using middleware technology, like web services, allows Power BI to interact with multiple systems efficiently. This request and response mechanism ensures data is transmitted from the source to the target system in real-time, which significantly benefits business operations by providing up-to-date information.

Moreover, integration capabilities were smooth. I worked on integrating Power BI with PeopleSoft, focusing on custom solutions rather than out-of-the-box features, tailoring the experience to specific needs.

Power BI is very user-friendly and easy to learn. I've even uploaded instructional videos on YouTube, which have helped many users, including some who have become long-term administrators of Power BI.

Reporting is the best thing about Power BI. And it could help improve decision-making in many ways.

Power BI is flexible and easier to use compared to tools like Crystal Reports.

It should integrate with multiple enterprise applications. For instance, integrating CRM (Customer Relationship Management) and HCM (Human Capital Management) with Power BI can be a significant advantage.

Because, organizations focus on and like software that can do multiple tasks.

The user interface is good but it should have the ability to interact with multiple systems.

I would like to see more AI capabilities in future releases. There's a strong interest in AI, including technologies like GPT, which facilitate real-time interactions.

It's all about real-time interaction between customers and the system, automated to operate under specific scenarios. This ensures it functions in real-time, leveraging AI for more dynamic engagements without needing predefined projects or setups, much like how chatbots are designed for real-time use.

In future releases, I would like to see more encrypted software, and there should be version control for Software. It will avoid pirated downloads. 

I would also like to see dynamic content. It should be an add-on in Power BI. It helps users understand reports more easily. For example, when a developer is building a report, they should consider using dynamic content to make the report more user-friendly.

I've worked with Power BI for almost one and a half years, focusing on reporting and integration with Power BI.

Power BI is very stable, especially in sectors like banking, retail, pharmaceuticals, and telecommunications. 

Its stability is expected to increase in the future with advancements in Azure.

I would rate the stability a nine out of ten. 

I would rate the scalability a ten out of ten. It's very scalable.

I haven't needed to press for support activities, so based on my experience, it is good in general. 

Compared to other reporting tools, it is very easy to acquire, demonstrate, and understand.

I would rate my experience with the initial setup a nine out of ten, with ten being easy. 

It is very easy to set up. Security in a private cloud is optimal, whereas public cloud lacks in security. Hybrid solutions offer some balance, but on-premises solutions have a lot of limitations.

Many customers are moving to the cloud for its ease of use, security, availability, and flexibility. Cost efficiency is also a factor. For example, Why would you use the cloud? Say you have 1000 people in your organization, and only 500 need access to Power BI. On-premises, you'd need to buy licenses for all the users. With the cloud, you only pay for what you use.

Considering cost, cloud solutions like Amazon Cloud, GCP Cloud, or Azure Cloud are preferred for their scalability and cost-effectiveness.

So, our customers mainly use cloud deployments.

Deployment doesn't take much time, thanks to it being a Microsoft product, which makes it easy to handle compared to other software.

So, it takes just a few hours.

It's about balancing cost and value. Although Power BI is cost-effective compared to other reporting tools, its pricing should be more adaptable based on the size of the organization to ensure it remains cost-effective for both small and large entities.  For example, if the organization has a million end-users, it should be cost-effective. 

This is important when considering the scalability of solutions like Kronos or Banner ERP systems, ensuring the cost is aligned with the organizational needs.

The pricing is very low and competitive. Microsoft could consider adjusting the price according to the size and needs of the organization, balancing demand with supply.

Power BI is an essential tool for any kind of detailed reporting. It's efficient and effective. 

I would definitely recommend using this solution. Overall, I would rate the solution a ten out of ten. 

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.

We use Microsoft Power BI for both data manipulation and visualization, with a strong emphasis on data-driven storytelling. It allows you to clean and transform data. You can connect to various data sources, such as Excel, SQL databases, and SharePoint files, and clean and prepare your data using Power Query. Additionally, you can write DAX to create powerful measures for diverse use cases. Power BI enables the creation of highly insightful dashboards to convey information.

The data manipulation and data cleaning tasks are handled in the backend by Power Query in Microsoft Power BI.

Integrating data from multiple sources in Microsoft Power BI is very easy. For example, you can connect to SharePoint, various SQL servers, and other platforms. Power BI also offers a range of connectors and libraries for integrating data from various sources, including databases, online services, and cloud-based platforms. It saves a lot of time by handling large datasets. It can process millions of rows of data and allows users to create visualizations and analyze trends quickly. Power BI is effective for various types of data analysis and can adapt to complex data needs.

Additional features can enhance Power BI's capabilities in predictive analysis. Currently, Microsoft Fabric is integrated with Power BI. As Copilot and further integrations continue to develop, they will enhance Power BI's functionality.

It offers a range of formatting options for reports and dashboards. For example, if you have multiple headers and change one header's color, all the subheadings can automatically adopt the same color. This feature allows for extensive customization and formatting, which is important because leaders often prefer color-coded information presented in a specific manner.

I have been using Microsoft Power BI for seven years.

I rate the solution’s stability a ten out of ten.

More than 400 people utilize it. It is suitable for small and medium businesses.

You can create dashboards using Power BI Desktop and share the Power BI Desktop file itself. However, for larger organizations, Power BI offers a web-based solution through Power BI Service, where you can publish reports and dashboards.

I rate the solution’s scalability a ten out of ten.

Microsoft offers excellent products, and its community provides many options and support. If users encounter specific issues, they can find solutions in various Microsoft communities.

I have experience with both Microsoft Power BI and Tableau. Working with Tableau posed multiple challenges, such as data integration and ETL, which can be quite complex. Additionally, Tableau's measures and visualizations can be somewhat intricate. However, the flexibility in Power BI is comparable to that of Tableau.

I used Tableau for about five years before switching to Power BI, so I have a total of around eleven years of experience with these tools. As an advanced Tableau user, Power BI is simpler in comparison. Additionally, Tableau requires a paid license, whereas Power BI does not require a purchase unless you deploy it.

The initial setup is simple. You can start in about twenty minutes. However, you'll need to thoroughly understand the application to gain deeper and more critical insights. While you can learn the basics within a few hours, mastering the more advanced features involves a steeper learning curve.

Compared to other solutions, it can be relatively expensive, while the cost can be more manageable for organizations, considering the scale and the benefits.

Power BI offers several built-in AI capabilities. For instance, it includes features for sentiment analysis, generating word clouds, pattern recognition, and trend analysis. While Power BI integrates well with various external data sources and services, including advanced AI models, many analytical functions are available directly within the Power BI suite.

Overall, I rate the solution a ten out of ten.

We mostly use Microsoft Power BI for reporting. We are going to build some solutions. We are going to deploy the scripts from Intune so that it can pull some data, which we can aggregate and show the projections on Power BI.

I really like the solution's integration part. You can integrate Microsoft Power BI with various other solutions like Intune. You can push the Intune data warehouse to Power BI. I really like the custom-built solutions that are available in Power BI.

I really wanted to send the inventory data to Power BI. I don't know whether the feature is available because I'm working on it and still need to look into it. The solution should increase the API functionality so that we can use Microsoft Power BI for other purposes and aggregate things.

I recently used Microsoft Power BI reporting for Windows Update. I wanted to understand where the reporting data came from, but I couldn't find it. It could be because I had fewer privileges. It would be good to know the data source for the solution's reporting part.

I have been using Microsoft Power BI for the past six months.

I rate the solution’s stability ten out of ten.

Microsoft Power BI can be used by all company sizes because it's all about aggregating and visualizing data. Any organization needs to have a broader perspective on what is happening. It could be useful for both large and small applications. All ranges of companies can utilize Power BI.

I rate the solution a nine out of ten for scalability.

The support engineers are not ready to schedule the calls or understand the issues and are very eager to close the cases. I have previously worked at Microsoft as a support engineer. I know they may have workloads and may need to handle multiple cases in a day.

However, I'm not finding even the basic courtesy of handling the issues from the engineers' perspective. Except for a few, many engineers are not willing to help the customers. They focus more on their limitations, saying that they don't deal with such issues or that they are out of their scope.

I rate the solution’s technical support a six to seven out of ten.

Neutral

Informatica is a competitor to Microsoft Power BI. However, Microsoft Power BI is very easy to use, and even a nontechnical person can implement it. Other solutions are a bit complicated when compared to Microsoft Power BI.

The solution’s initial setup is very simple. The solution's deployment takes less than 15 to 30 minutes.

Microsoft Power BI is deployed on the cloud in our organization. I would recommend the solution to other users.

Overall, I rate the solution a nine 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.

We use it to create dashboards. We input our data and visualize it as dashboards.

While it hasn't significantly enhanced collaboration, it has greatly improved our reporting capabilities. It allows us to present visually appealing dashboards to management.

Our main focus with Power BI is dashboarding rather than collaboration.

Power BI makes it easy to visualize our data through dashboards. It is quite dynamic. We can easily modify views based on our requirements, which helps us see the data more clearly and makes it visually appealing for management.

Moreover, the integration of Power BI with other Microsoft products is quite easy. 

There are certain features that are only available in the cloud version. It would be beneficial if they could be brought down to the on-premise version without the necessity of using the enterprise SQL database, as that can be very costly. We need more cost-effective features that are available in the cloud to be accessible on-premise.

We've been using Microsoft Power BI for about three years now.

It is a stable product for me. I would rate the stability an eight out of ten. There are less than ten end users in my company using this solution. 

I would rate the scalability an eight out of ten.

The customer service and support are okay.

Positive

We're essentially a Microsoft house. We use a wide range of Microsoft products and are very happy with them. So far, we have no plans to switch, as we haven't found alternatives for essentials like Office or Windows.

Azure DevOps is something we're starting to explore to enhance our desktops. We also work with Microsoft Dynamics, DPM, Hyper-V, and Microsoft Exchange.

Cost was a decisive factor when opting for Power BI. 

I would rate my experience with the initial setup an eight out of ten, with ten being easy to set up. 

The deployment process took one to two days. 

I would rate the pricing an eight out of ten, with one being cheap and ten being expensive. 

I would recommend it, especially the Pro or Premium versions. They are better.

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

I've been using it for financial data.

Flexibility and usefulness of the data.

Trend data and dashboards need improvement.

I have been using Microsoft Power BI for some time. 

The stability is a seven out of ten. 

The initial setup is straightforward. 

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

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.

I use it primarily for some application services. It's primarily for government statistics.

I use it for visualization as well, mainly for filtering data, and creating graphs and dashboards.

Power BI helped me to improve the decision-making process. It was particularly useful when I had data in a table, and I was able to use it as a dashboard with filters for better insights.

The sharing features are vital, especially the ability to share and test different shared dashboards.

It's quite manageable and easy to learn. It took me about a month to learn how to use it effectively.

Better mapping capabilities and easier administration access would be beneficial, especially for understanding who has viewed reports.

I have been using it for a year. 

It is a stable product. I would rate the stability an eight out of ten. 

It is a scalable product but it could be improved to better suit the overall size of projects.

I would rate the scalability a seven out of ten. 

There are around 50 end users in my organization. We plan to increase the further usage.

The customer service and support are not as easy to access as I'd like. I don't often find a direct portal to support. I end up looking up the internet. I would rate it one out of ten, but I would put it a five out of ten. 

I have to go and look up the internet. I sometimes just bring in expertise. I would prefer some tech support instead of bringing in someone else. 

I have to run a case. I want to have something easy and readily accessible. There is good stuff on the website, but it would be better if I could easily ring somebody. 

Neutral

I've used Tableau, but now we primarily use Power BI.

Each has its advantages, but Power BI supports our needs effectively.

I would rate my experience with the initial setup an eight out of ten, with ten being easy to set up. 

We use it on the cloud. For us, deployment took six months.

The pricing is reasonable, at about 6.3 euros per user per month.

I'd recommend it for its features and cost-effectiveness. I find this product pretty okay. It works well for me. 

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