Altair SLC vs. Yellowfin

For now coders, I would emphasize them to use drag and drop functionality. Otherwise, WPS Analytics is a robust tool for app development and data visualization that offers multiple languages such as SAS, SQL, R, and Python.

Incentivized

We can recommend this software without hesitation, as it has the ability to generate reports and data analysis, as well as process the data automatically, which saves time. It is ideal for small and medium-sized companies that wish to improve their services in the business world

Incentivized

• Data preparation and advanced analytics help us to gain insights on company data.
• Data sharing and distributing securely.
• Visualization of data with WPS Analytics saves time when making business decisions.

Incentivized

• The Yellowfin user interface fits seamlessly into our own web software as it too is designed in the latest web technologies making it easy to use and easily accessible to our client base.
• The Yellowfin user interface is intuitive and easy to use, elevating VSV clients from needing in-depth training on the product before true value can be realised.
• The Yellowfin architecture supports the Pintl architecture 100% due to a similar design strategy and as such no real overhead is added to the Pintl system for the addition of the Yellowfin product nor does it add any additional IT overhead to be used.
• The Yellowfin product is quick and simple to develop reports and dashboards in cutting turn-around-time at the VSV development team and when new/custom reports are required by VSV clients.

• SAS functionality has to lack.
• There's no online guideline, making it hard to solve problems.

Incentivized

• The ability to predefine a colour for a specific graph as a selection option dynamically.
• The ability to customise the label of a chart, especially with respect to performance related reporting graphs we need an increase in dynamic charting options to meet our more specialised requirements.

Yellowfin has large promises that did not meet our expectations after we got it installed. We tried to configure it but things did not go as planned. After 1 year of trying - we still cannot get it working. Be very careful when signing up with them - everything is not what it seems.

99.9% availability

Anytime I needed a report, I ran into issues with this software. We used Yellowfin for a period of months, having switched from Salesforce. I found the reports were difficult to produce, and the data management was okay at best.

Incentivized

Yellowfin provides 3 levels of training to support consumers, business analytics, developers and Administrations :

1. Yellowfin BI Training - Level 1 (Exploration)
2. Yellowfin BI Training - Level 2 (Advanced)
3. Yellowfin BI Training - Level 3(Expert)

Web-based training for large audiences for Level 1 and Level 2 I would suggest

Design the data model and views for each dashboard is very important and it is the success factor Configuration of cluster for large implementation

To better understand the data I work with, I extensively use the data discovery and visualization tools available on my workstations, and I always go for the best. Unfortunately, some other tools does not offer any tutorials for the features, making it difficult and time-consuming to analyze data, mainly after it has been implemented. In addition to videos and articles, WPS Analytics provides comprehensive tutorials for each feature.

Incentivized

Yellowfin is no doubt, a stronger, more eloquent and polished tool compared to Microsoft's Power BI. The issue with our company specifically is that we are a big Microsoft shop, and pay for Power BI more or less in our bundle esp w/ O365. While the Yellowfin tool is a more sleek tool, the cost to our company is something that we have to weight against a negligible cost with Power BI.

Incentivized

- Tested 500 con-current users in Linux platform with 4 cores systems - Tested with cloud based VM - Tested with 1000 reads per minutes

• Reduction in operational costs since no data scientists are involved.
• Time and effort have been reduced when analyzing data by using machine learning capabilities and natural language.
• We have reduced time to value by bridging data processing to taking actions gap.

Incentivized

• made our org more data centric
• Decisions are made based on data vs opinion
• has created a single source of truth for the bulk of the organization

Incentivized