LogRhythm NextGen SIEM Platform vs. Microsoft Power BI

Having mostly worked with their on-premises solution, I think it's well-suited for small , medium, and even big organisations. I feel it might be less suited if the customer wants a SIEM with 100% uptime, as it goes down a lot. Or if they want to depend on customer support. I suggest that if you want to go with LR, you have to have your own experienced engineers to work on.

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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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• LogRhythm NextGen SIEM Platform has an alarm system that generates tickets based on the event and the way it has been configured in the LogRhythm console. Let's say we have a ticket for a malicious email attachment. The ticket will some information like the source of the log, the source IP, destination IP etc. It can be drilled down to obtain specific information like the recipient, source location, file attachment name, SHA hash of the file, source and destination port, time, mac address of the machine that downloaded it etc. This helps the analysts to go to the root of the cause and take actions easily without manually parsing them.
• The second good thing about the LogRhythm NextGen SIEM Platform is that it is very easy to use with its well-structured interface. To use LogRhythm, an user barely require any technical skills. A little overview of IP, CIDR, hash, etc. is enough to get your hands on it. It requires no programming or coding skills, as everything is GUI based. It also provides a beautiful visualization dashboard. There is another beautiful feature that it provides for the classification of events, known as cases. Multiple users working on the same platform can create cases and add events to it. They also help to maintain future reference.
• The third good feature is the search tool which is very powerful. For example, sometimes it is hard to find the users who downloaded a malware from the guest wireless of the institution and not the private network. The search tool helps us in searching the user by automatically correlating the MAC address from the current network logs and the previous logs as the MAC address is the same. It is highly scalable for parsing a large number of logs from various sources.
• I particularly think this is one of the best software available for log parsing in an organization where non-technical users are working on incident response. This tool has a good amount of flexibility. However, it can only be configured with the LogRhythm NextGen SIEM Platform Console.
• In terms of usability, as already mentioned, it is a very easy tool to use, with a GUI based interface.

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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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• LogRhythm absolutely needs to provide back end support for threat intelligence lists. Performing a linear search on massive lists of IPs on incoming web traffic can bring the SIEM to its knees.
• LogRhythm should drop its entire code base for implementing lists and simply turn them into hash tables to avoid the excessive cost associated with referencing lists in rules. I haven't seen the code, but the performance suggests O(n).
• The reporting feature is the worst of all SIEMs, luckily reports are not my primary service offering. LogRhythm should definitely revamp its reporting to be more intuitive.

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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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LogRhythm is focused on SIEM. That is their core business. Cost of operations, feature set and ease of use. The Log Rhythm support team is outstanding. Overall reliability is good. Reporting module needs some improvement and LR is promising that there will be significant improvements in future releases.

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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.

LogRhythm does a rather decent job of making the functionality advanced (allowing for advanced keyword & field searching, use of "AND" as well as "OR" statements in the search bar) while keeping it accessible (by not requiring a specific syntax to do quick searches). This combined with a user interface that has headings and labels that are intuitive is very helpful.

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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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While LogRhythm support is generally quick to respond, the initial response is usually from a first line support engineer with general knowledge of the product. Any advanced or complex issues have always required the assistance of a higher tier of support, directly or indirectly. For a few occasions we actually used our PS hours to work on the issue.

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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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• Buy professional services.
• Buy and implement the system if possible.
• Remember that the end point log configuration may require other teams in your company to assist you in getting the desired logs from all resources.
• Attend the end user and daily operations training after a period of usage so you are not overwhelmed with information on concepts not yet seen.
• Don't be afraid to call for help during your first months of use.
• Don't close any ticket until you are sure the expected results are verified.
• Use the community forums to discuss issues with your peers.
• Watch the training videos offered by L R University.

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

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LogRhythm was simpler to set up and configure as well as extract information from. It also was less intrusive in terms of how many appliances were needed to implement. We were up and running within 5 hours to start accepting log sources. We selected LogRhythm as well since support is based in the USA in Colorado.

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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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• It gives the overall view of the environment so we are always aware of our security position.
• It has created operational effectiveness; we are able to rapidly detect threats and resolve it fast.
• We have been able to track inappropriate login attempts through tickets.

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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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