Atlassian Strategy Collection, with Align vs. Microsoft BI (MSBI) vs. Microsoft Power BI

The Atlassian Jira Align (formerly AgileCraft) tools help keep our scrum teams moving in the right direction. It gives Sr. Executives visibility into the progress of our digital transformation efforts. It provides information to our program manager to create the necessary artifacts to justify continued funding of our initiatives. It also supports the SAFe framework, along with some others. And the Atlassian Jira Align (formerly AgileCraft) tools provide integration to other tools that we use in our portfolio.

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Microsoft BI has a lot of features and is a very powerful tool, especially if you have folks on your team that know how to utilize all of its capabilities. To truly unlock all that it can do, it does require people to have a deep understanding of its capabilities. That's where the software really shines. If you are looking for a simpler, more basic reporting tool, there are other programs available that do not require such a steep learning curve.

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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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• Effective Sprint planning : Sprint planning can be done using Planning Poker in AgileCraft by clicking Team > Manage > Other > Estimation Games very effectively for distributed teams.
• Team Capacity Allocation Report: After tasks are created at team or program level, the report from AgileCraft cab be pulled and can be verified that no team member is under or over allocated. A report can be generated by navigating to Team > Manage > Assign Tasks.
• Effective Requirement trace-ability: To maintain requirements trace-ability follow the steps below:
• Upload test cases against the story/requirement. once uploaded test cases will be visible under that story
• Execute Test cases in AgileCraft and mark them as Pass/Fail based on the actual outcome
• Based on test results, The acceptance criterion's can be marked as “Pass” or “Fail” & if marked failed corresponding defect can be logged & can be attached with the story
• So against each story we can easily see whether all test cases been executed or not & which acceptance criterion's are failed & how many defects are in open or close state.
• Daily Scrum: In AgileCraft, the option to run a daily stand-up is available from Team > Manage > Daily Standups. Selecting the sprint number opens the daily stand-up meeting window in which each team member's tasks are visible and hours can be burned against them. Conduct Scrum meetings in AgileCraft, and burn each associate hour against the tasks created during the meeting. The burn-down chart can be generated & viewed during the stand-up to check whether the team is on track.

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• Comparatively easy to use compared to other data analytics solutions, collaborating with other colleagues on data work is simple.
• Using Visual Studio for database, ETL, reporting, and analytics development save time and money.
• Transfer of data from one application to another via Excel and comparison of data attributes between applications
• Dashboard functionality, as well as Python support, are available, allowing you to add additional charts and graphs.

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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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• The initial ticket creation screen lacks some important features, such as assigning "point values" (a measure of effort needed for the ticket).
• The browser needs to be manually refreshed to see new tickets, which can make things confusing when several people in a meeting are simultaneously creating tickets.
• The interface on some smaller portions of the software are sometimes difficult to understand.

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• MSBI designs can work on increasing data processing capabilities enough to handle the huge datasets etc.
• It would be a lot better if it is a little low on cost.
• it needs to create opportunities little more than they do regarding customization of some very unique visualization effects

• 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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There is nothing that can be better than Jira but it needs to keep improving certain areas especially the attachment size area.

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Microsoft BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.

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.

As I have mentioned, some older, less tech savvy, team members have not found it as intuitive. I found it the same when I started using it although it quickly made sense. I think this is because there are lots of features we do not use so this can get in the way of what we do use

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The Microsoft BI tools have great usability for both developers and end users alike. For developers familiar with Visual Studio, there is little learning curve. For those not, the single Visual Studio IDE means not having to learn separate tools for each component. For end-users, the web interface for SSRS is simple to navigate with intuitive controls. For ad-hoc analysis, Excel can connect directly to SSAS and provide a pivot table like experience which is familiar to many users. For database development, there is beginning to be some confusion, as there are now three tool choices (VS, SSMS, Azure Data Studio) for developers. I would like to see Azure Data Studio become the superset of SSMS and eventually supplant it.

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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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The product has been reliable.

SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.

Overall support from Jira team is good. It comes at an additional price but it is very efficient. There are no long wait times, you get a dedicated team to look into your issues. The support is available throughout the year and they keep a record of your issues. Overall we are very satisfied with the support they have provided us over the years, it has been very effective for the price that we pay.

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MSBI natively has a site that allows you to vote on user enhancements and bug fixes. This allows the largest nagging issues to float to the top and the development team can prioritize accordingly. As mentioned earlier, the large community base of MSBI developers assist technical resources in handling technical questions.

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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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This training was more directed toward what the product was capable of rather than actual programming.

I have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.

We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.

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

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Microsoft Azure Devops won't have the major functionality of software management like Jira. The customization provided by Jira is having a cutting edge over any project management tool. Adds-on and Plugins feature in the Jira Tool make it as perfect as desired task management tool for any company. One of the best Agile based Project Management Tools.

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We have used the built in ConnectWise Manager reports and custom reports. The reports provide static data. PowerBI shows us live data we can drill down into and easily adjust parameters. It's much more useful than a static PDF report.

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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 has positively impacted our tech teams, allowing them to better organize the tasks and items they are working on and has greatly improved their ability to communicate & review these tasks with other teams.
• I believe it negatively impacted other departments as lengthy training was required by many associates to attempt using the tool, only to find out it didn't meet our needs, therefore much time was wasted.

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• As a SaaS provider we see being able to provide self-service BI to our client users as a competitive advantage. In fact the MSSQL enabled BI is a contributing factor to many winning RFPs we have done for prospective client organisations.
• However MSSQL BI requires extensive knowledge and skills to design and develop data warehouses & data models as a foundation to support business analysts and users to interrogate data effectively and efficiently. Often times we find having strong in-house MSSQL expertise is a bless.

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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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