Microsoft Power BI vs. Stream Chat

Has significantly improved collation of data and visualisation especially with business across Europe. Has given me the ability to see the Site availability at the click of a button to see which Site is in the "money" and seize opportunities based on Market data

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Based on my experience, here are some scenarios where Stream Chat is well suited: 1. If you want to build a real-time chat system then it is a very important use case. 2. Also good if you want to integrate it into gaming applications. However, there are also scenarios where Stream Chat may be less appropriate. For example: 1. stream chat use cases are mostly for real-time messaging use cases only but if you are someone who don't have such use case than you can skip stream chat

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• Options for data source connections are immense. Not just which sources, but your options for *how* the data is brought in.
• Constant updates (this is both good and bad at times).
• User friendliness. I can get the data connections set up and draft some quick visuals, then release to the target audience and let them expand on it how they want to.

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• Well, if there's a need for real-time messaging need then stream chat is there for the help.
• Multi-platform support of Stream chat is really good. It supports a range of platforms like web, desktop, mobile.
• Also it is very easy for developer to customise there need with the help of its documentation which make it very easy to implement.

• It would be easier for users could Microsoft Power BI and Excel used the same programming languages.
• Would like to see the online version of Microsoft Power BI be as powerful as the desktop version.
• Publishing a Microsoft Power BI file online and then having to save the file is somewhat redundant.
• Would like to export each page or chart as an image.

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• Better documentation on more subtle use-case scenarios

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Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.

Automating reporting has reduced manual data processing by 50-70%, freeing up analysts for higher-value tasks. A finance team that previously spent 20+ hours per week on Excel-based reports now does it in minutes with Microsoft Power BI's automated Real-time dashboards have shortened decision cycles by 30-40%, enabling leadership to react quickly to sales trends, operational bottlenecks, and customer behavior.

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It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.

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It was integrated with our erp easily and was accessible on cloud.

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Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would not pay for Tableau or Sigma anymore. Not worth it at all.

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Why we prefer stream chat over Twilio was as follows: 1. User interface customization: Stream Chat provides wide range of user interface customization feature than Twilio. 2. Moderation tools: Stream chat provides a lot of moderation tools to manage chat and content being generate real time on the app. 3. Collaboration features: collaboration feature of stream chat is really good. Very simple collaboration features are provided by Stream Chat

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• Power BI usage reduced the effort of analytical reports creation by about 80%
• Empowered all the level of employee to be more vigilant of the data and business insights, gained the profit of 8% overall.
• AI-powered predictive analytics improved forecasting accuracy by 17%, that topped the overall sales.

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• stream chat saved a lot of our cost which we may have invested in building our own messaging system
• stream chat saved a lot of our time which we may have invested in building our own messaging system
• overall the ROI for us with stream chat was higher