Microsoft Power BI vs. SAP Agile Data Preparation

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

SAP Agile Data Preparation is well suited for an organization with loads of data where data can be transformed, analyzed and shared on a single click. Thus, the software is well suited for organization which have intense data working. Further, the software is not suited for small/medium organization as there data would be comparatively less and they may not be able to afford the software.

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

• Centralized data storage, monitoring, and constant refreshes, as well as synchronization of global data are helping supply chain members reduce risk and secure stronger contracts.
• SAP empowers its users for successful data management by providing very easy-to-use tools which allow one to access, manipulate, and update a ton of data.
• SAP allows you to create data with having technical programming skills

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

• To manage user's email notifications
• Search data across worksheet
• Data quality statistics

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

I have no had any major issues, just a couple minor ones.

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

Our organization chose SAP Agile Data Preparation because of its brand name and the pricing. The software was feasible for the organization as it provides loads of feature as compared to other software's at a reasonable price. Additionally, SAP Agile Data Preparation is powered by SAP HANA so that is a prerequisite to data preparation freedom. Also, at the implementation stage the software was working really efficiently in terms of features, durability and performance.

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

• Data management for large community has been increased
• Easy to collaborate with relevant stakeholders
• Smart and user-friendly interface
• Data sharing feature with excel, spreadsheet etc

Incentivized