Oracle Data Visualization Cloud vs. WPS Analytics

Oracle Data Visualization is very effective if used in an enterprise context with huge volumes of data coming from different systems. It supports dashboard and reporting capabilities and is easy to scale. It also allows you to leverage machine learning capabilities to extract hidden data trends. Visualization capabilities are powerful but not so various if compared to other solutions on the market. If you want to present a dashboard to an executive audience and you want to make your dashboards beautiful you must adapt them through PowerPoint.

Incentivized

WPS Analytics allowed our company's business users to keep using their existing programs while getting similar results with much less learning time. It's a great accomplishment when software for business users is changed—excellent relationships with providers and other salespeople. As a SAS user, I needed an interpreter for the SAS language, and WPS has more packages and a lower price than any other company I could find, so I decided to go with
it.

Incentivized

• Providing live dashboards
• Sending scheduled reports
• Intaking data from a variety of sources

Incentivized

• WPS Analytics is powered with high performance data processing engine.
• Reusable data models save finances and time.
• Self-service data analyzation portals.

Incentivized

• The only betterment we can do in this application is if oracle provides the method to implement CLOB data which contains audio, videos that will really make the application to the next level.

Incentivized

• Currently, I barely encounter challenges when using WPS Analytics although I don't use it on a daily basis. There's no functionality or feature that needs more improvement.

Incentivized

Tableau can be a somewhat difficult product for someone unfamiliar with it. Based on your query, search will produce a very high amount of data, which you then need to sort. Can be cumbersome to work with. Oracle Data Visualization Cloud is easy to use upon initial trial download, point and click, sort very easily, and machine learning really helps by learning various metrics a user takes advantage of in developing various reports, etc.

Incentivized

I use a lot of data discovery and visualization tools at workstations to help me gain deep insights into data. WPS Analytics doesn't vary much from all the DVD tools that I have listed, I always go for the best.

Incentivized

• Has improved time to value for initiatives
• Saves reporting hours every week
• Eliminates need for dedicated user to prepare and batch reports

Incentivized

• Using machine learning and natural language to analyze data saves time and effort.
• Standard reporting and business intelligence help us reduce workload and make data-driven decisions.
• Drag-and-drop workflow saves time when different languages like SQL and SAS make it easier to code and prepare data.

Incentivized