Excel4apps is a business intelligence software offering from Excel4apps.
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Microsoft Power BI
Score 8.5 out of 10
N/A
Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
$168
per year per user
SAP Predictive Analytics
Score 7.0 out of 10
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SAP Predictive Analytics is, as the name would suggest, a statistical analysis and data mining platform that can be deployed with SAP HANA.
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Pricing
Excel4apps
Microsoft Power BI
SAP Predictive Analytics
Editions & Modules
No answers on this topic
Power BI Pro
$14
per month (billed annually) per user
Power BI Premium
$24
per month (billed annually) per user
No answers on this topic
Offerings
Pricing Offerings
Excel4apps
Microsoft Power BI
SAP Predictive Analytics
Free Trial
No
Yes
No
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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Power BI Desktop is the data exploration and report authoring experience for Power BI, and is available as a free download.
It is easy to store and retrieve data so that when there is a turnover we are able to find information that someone entered and then use that for the upcoming prospective reports. Also the visuals we are able to generate through the programming help us quickly build reports and …
We have to calculate most all Lab / Pilot / Proposals sizing and results. The automated calculations in [Excel4apps] is awesome, as once you are familiar with them, it is easy to quickly implement them when needed.
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
It's a great tool to merge actual data analysis (which Lumira doesn't do that well) with visualization (which Lumira does well) - so it can be seen as Lumira for data analysts. However, a lot of the 'predictive' side is hidden/black box which can be frustrating for those analysts, so you could argue it is too complex for casual users, but too 'black box' for analysts.
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.
It doesn't require you to have a Ph.D. to build models!
You can use it to address a very large and wide dataset without worrying about sampling.
Automation is in the product DNA. You can prepare your data, ingest it into the "Kernel", then get insights about what was found, decide to publish it and schedule scoring tasks or model refresh in the same product.
It is possible but difficult to retrieve data or set criteria from different module into a single report or retrieve. If it is more user friendly instead of having to create a complex formula to retrieve the data, this function will be utilized more often.
It will be nice to have visual (graphs, etc.) report template available
It is helpful if we can retrieve data for a range of date, instead of just YTD, PTD etc. and multi-year data all at once for comparison too.
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.
I am not a power user of Excel. So I find Exel4apps a friendlier version of the things that I could do on Excel and making it easier with a magic wand.
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.
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.
The documentation provides an explanation about what features are available but not necessarily what's happening behind the scenes. On the other side, the "community" has grown since the acquisition and most questions are properly addressed by SAP folks. Since the "product maintenance" mode announcement was made, there wasn't much new content published except on the Smart Predict side (which is built by the SAP Predictive Analytics team)
Excel4apps is more user friendly and can retrieve data much easier and in a nicer format than Jaspersoft. Qlik Sense is useful and have more visual reporting and dashboard. However, it is usually used for higher level of analyses and review. Yardi is used for specific purpose, which is different than Excel4apps. Excel4apps can pull all the financial data from Oracle, including billing and collections.
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.
We have typically used Spotfire for data analysis but decided to move to SAP Business Objects due to its innate connection with SAP. I found Lumira to be good for visualizations but it is not meant for data analysis. Therefore, we have introduced Predictive Analytics to see if it can fill that gap. So far, it's been far less intuitive than Spotfire to get started, and as far as I am aware so far, it does not bring many additional capabilities. I do, however, like that it utilizes the Lumira look/feel and integrates very well.