HPE ProLiant DL vs. Microsoft Power BI

It's well suited for a VMWare Esxi cluster setup. You are guaranteed to have the same CPU chipset to ensure the servers on the cluster are compatible with each other. We've had to stagger the purchase of systems by six months and have had compatibility issues. It's also well suited for I/O such as MS SQL or Oracle databases, Exchange servers, domain controllers. Pretty much any server setup will work with no issues on the HPE Proliant DL line. It's less appropriate as a NAS server, we had purchased one that ran on Windows Storage. Since it was more or less running Windows as a single controller, we had issues where it has locked up and caused an outage.

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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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• Highly reliable. We've never had one go down unexpectedly in 11 years.
• High performance. Current 380 G10s are configured with 1.5TB of RAM, always the shortest commodity in virtual environments.
• Great manageability: iLO boards allow us to run headless without the Advanced license even.

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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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• iLO Advanced - I feel like this is just a money grab. Give me the remote features, at least the remote console, with the purchase. I'd be OK with paying for the advanced license for more centralized functionality, but straight remote sessions? That should just be there.
• Software entitlements and online interaction are a little wanting. This isn't the hardware per se, but enterprise products are often heavily tied to online services and tools and that could be a lot better.

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• 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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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.

We have been using these servers for many years now and we have used different generations of this product line. We have never faced a catastrophic issue using these and even the smaller issues that we have faced have been dealt with by the technical support team of HP. They have been a reliable partner in our data center.

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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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Overall, HPE support meets our requirements. They offer handy 24x7 phone support with clear case resolution interface. Engineers from HPE know their hardware and software. They are polite and help to find quick solutions for their customers. We don't need to prioritize our service requests to account managers to find how to fix or improve our service support.

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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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I've used Dell poweredge servers and they were great too, but I found remotely deploying HPE hardware was significantly easier and faster. One thing I love about HPE is when i got to deploy an OS remotely via iLO I can utilize the virtual media URL as opposed to mounting an iso. these eliminates the SSL overhead and the OS can be deployed in under an hour. Mounting an ISO has proven reliable but due to the SSL overhead it can take hours. In addition i found im able to register my HPE hardware with HPE and they provide me a clean IT dashboard of all of my hardware and they give me alerts as to expiring support coverage, if a server is down or reporting an error. its a very solid and reliable solution all around.

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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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• Allowed us to move forward with running web-based applications and to scale them as needed.
• The lack of future driver support has made it difficult to consider upgrades, we may need to go with more expensive hardware in the future to be able to maintain upgrades.
• While we have not realized all the business growth benefits we expected from this investment, we have had much more flexibility and options when we need to change our environment to meet the business needs.

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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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