Microsoft Power BI Reviews

I primarily use Power BI for data visualization. I build dashboards on Power BI, which are then distributed to a larger audience for day-to-day operations, like data management and similar tasks. 

In some cases, I have used Power BI to manage very large data sets, which isn't possible with Excel, Access, or other tools. I created custom solutions on Power BI that allow users to cut and slice through the data we have. These are the two main use cases I've observed so far.

One of the key factors why I use Power BI is because it's very flexible with other Microsoft tools. The entire ETL process is easy and supports many databases, allowing data pipelines from multiple sources to be gathered in one place for visualization. This is the key aspect I like about it.

Power BI is our development visualization system for general analytics and data reporting. I position it on top of our data warehouse, SharePoint data, Excel data, or any available data. It is used for internal purposes, allowing network-wide access from physicians to nurses to operational leaders. We have upwards of 16,000 users.

Power BI is a general-use visualization system. I can express the performance of our network through high-level key performance indicators. It allows me to show detailed improvements in quality and safety and patient experience. I create improvement dashboards for task forces and work teams. I have built analytic dashboards that guide analytics, enabling research and dataset manipulation.

My use case is not extensive because I am using a module of Eightfold. As a financial controller, I am not directly involved in recruitment myself. I have only seen it on someone else's screen, so I am not a good judge of the solution.

The main feature I find valuable is the possibility to work with an extensive amount of data. While you can achieve some of this with Excel, it takes much longer to perform calculations. 

Power BI processes data differently, efficiently utilizing memory for detailed-level processing. The visual capabilities are another significant advantage over Excel, though Excel continues to improve. Access, however, does not compare in terms of graphical evolutions like those in Qlik. 

Furthermore, the potential to use custom add-ons in Power BI is restricted if you do not use native Microsoft products, which is understandable for quality control. Ultimately, the ability to handle large volumes of data and provide dynamic selections is a considerable benefit. In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.

In my company, we use Microsoft Power BI only for monitoring because now it is the only software you can use to connect to Azure DevOps. We use the tool to monitor our environment, activities, and KPIs and evaluate bug rates and future values. In our company, we use agile scrum methodology, and for every activity that we create in our backlog, we monitor the life of the activity in our backlog. When we deliver the above-mentioned features, we use the Microsoft Power BI to monitor and create KPIs.

The dashboard is very nice and it is very simple to understand every single component. You would use a new task manager to monitor goals to manage your team, but I don't like that and would prefer to work with and learn a new tool that does monitoring. Sometimes, we use Azure to measure every dashboard and to monitor the activity in the scrum, but only under the dashboard. For example, more or less the two or three KPIs can be monitored using your monitoring tool.

We have created the reports and are continuing to work on them. We are deploying them to the proxy, and the users are utilizing them for various business processes.

I work in Tableau or Tableau and Power BI. It can handle large data sets. You can just get the raw data. When it comes to Power BI, if you have to get the raw data and want to refresh it, the refresh at a point in time would degrade performance.

One of the key benefits of Power BI is how easy it is to develop reports. Even non-technical users can easily download the report and learn to include slicers and data filters once provided with a template. The platform is very user-friendly. Another advantage of Power BI is that if the report developer encounters any issues, they can quickly find solutions through Microsoft’s help resources. You can get your assistance by visiting the Microsoft support site or posting queries. This makes developing and delivering reports much easier. Microsoft Power BI provides much support and flexibility, making it a great tool for report generation.

It can integrate with different data sources. You can connect seamlessly to Databricks, SQL Data Warehouse, third-party sites, and multiple other sources.

I use Microsoft Power BI for data visualization and IT studies. It is used primarily in my academic studies and courses, particularly in my visualization course, which is part of a master's program for individuals currently working in the industry. Students also use similar programs like Excel to monitor various issues.

Using Microsoft Power BI has significantly helped in analyzing large datasets. The solution allows for visualizing and connecting different Microsoft applications, which is beneficial for academic purposes.

Dataverse is quite mature in terms of visualization. There are many interesting features for Power BI, such as role-level security, which allows you to control who sees what based on their roles. This is a cool feature, as you can separate reports depending on user departments or roles.

Real-time refresh is quite interesting and user-friendly, provided you have access to a gateway. It works well.

We have integrated it into the data warehouse.

It's not AI-driven. Although it has Copilot, which is in test mode, so it's not fully used.

Although there are many visualizations, most of them are paid separately because they have been developed by private developers. The visualizations that come off the shelf are quite few. 

You won't have very many common visualizations; you will have to download them from private developers, which come with their own limitations, or you have to pay.