Microsoft Power BI vs. OnPlan

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

Incentivized

OnPlan is well suited for finance teams looking to maintain control of their corporate/financial models. Every model can be exported to Excel. In particular, for early-stage to mid-stage companies, OnPlan provides a powerful and inexpensive solution that allows for automation and customization. Another strong argument for OnPlan is their experienced CSM/IM team that helps to build the first model and acts as a sounding board with insights to improve the models. OnPlan might be less powerful for large organizations operating across multiple divisions, countries, and entities as this requires sophisticated consolidation processes and standardization, which might be difficult to maintain with OnPlan. Implementations depending on complexity can take longer due to the customization options and plethora of options to make models more accurate.

Incentivized

• 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.

Incentivized

• Integration with QBO and SFDC
• Integration with Google sheets and presentations
• User friendly and polished UE
• Easy Excel like syntax for modelling
• Flexibility to create custom formulas
• User roles and permissions
• Handling of fiscal year vs. calendar as well as switching between monthly/quarterly views

Incentivized

• 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.

Incentivized

• Chart library or templates to quickly create polished Google charts
• More collaboration features for comments and questions to team members

Incentivized

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.

Incentivized

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.

Incentivized

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

Incentivized

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.

Incentivized

OnPlan provided the best tradeoff for customization, integrations, affordability, user controls, and maintenance/control of the financial model.

Incentivized

• 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.

Incentivized

• More cost control
• More accurate forecasts / reducing of forecasting errors
• More accurate accounting close / detection of erroneous GL entries
• Time savings to update financial model / forecasts
• Time savings to create BvA reports

Incentivized