Excel4apps is a business intelligence software offering from Excel4apps.
N/A
SAP Predictive Analytics
Score 7.0 out of 10
N/A
SAP Predictive Analytics is, as the name would suggest, a statistical analysis and data mining platform that can be deployed with SAP HANA.
N/A
Tableau Desktop
Score 8.4 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$1,380
per year (purchased via a Creator license)
Pricing
Excel4apps
SAP Predictive Analytics
Tableau Desktop
Editions & Modules
No answers on this topic
No answers on this topic
Tableau Creator License
$115
per month (billed annually) per user
Offerings
Pricing Offerings
Excel4apps
SAP Predictive Analytics
Tableau Desktop
Free Trial
No
No
No
Free/Freemium Version
No
No
Yes
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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—
All pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
More Pricing Information
Community Pulse
Excel4apps
SAP Predictive Analytics
Tableau Desktop
Features
Excel4apps
SAP Predictive Analytics
Tableau Desktop
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Excel4apps
6.3
4 Ratings
26% below category average
SAP Predictive Analytics
-
Ratings
Tableau Desktop
8.4
175 Ratings
3% above category average
Pixel Perfect reports
5.43 Ratings
00 Ratings
8.0145 Ratings
Customizable dashboards
6.13 Ratings
00 Ratings
9.1174 Ratings
Report Formatting Templates
7.44 Ratings
00 Ratings
8.1151 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Excel4apps
7.6
4 Ratings
6% below category average
SAP Predictive Analytics
-
Ratings
Tableau Desktop
8.3
172 Ratings
3% above category average
Drill-down analysis
7.54 Ratings
00 Ratings
8.5167 Ratings
Formatting capabilities
9.24 Ratings
00 Ratings
8.4170 Ratings
Integration with R or other statistical packages
6.52 Ratings
00 Ratings
8.0126 Ratings
Report sharing and collaboration
7.14 Ratings
00 Ratings
8.5165 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Excel4apps
6.4
3 Ratings
25% below category average
SAP Predictive Analytics
-
Ratings
Tableau Desktop
8.3
166 Ratings
1% above category average
Publish to Web
6.73 Ratings
00 Ratings
8.0155 Ratings
Publish to PDF
8.22 Ratings
00 Ratings
8.0154 Ratings
Report Versioning
5.83 Ratings
00 Ratings
8.3120 Ratings
Report Delivery Scheduling
6.23 Ratings
00 Ratings
8.5128 Ratings
Delivery to Remote Servers
5.02 Ratings
00 Ratings
8.878 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.
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.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
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.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
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.
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
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.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
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)
Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
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.
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.
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.