Discover, Visualize and Gain Insights on Data from Multiple Data Centers with WPS Analytics
December 29, 2021

Discover, Visualize and Gain Insights on Data from Multiple Data Centers with WPS Analytics

Adam Collier | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with WPS Analytics

WPS Analytics is a single unified analytics solution that we have employed in some departments at my current corporation. It enables me to create data-focused applications with zero or low coding and visual workflows.

Pros

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

Cons

  • I can't complain at the moment since the vendor support team and online WPS communities help me get rid of issues rapidly.
  • Interactive modeling tools.
  • Collaboration capabilities: Help share workflows.
  • Drag and drop functionality for workflow automation.
  • Data discovery and governance.
  • Model analyser help us choose the best that suit our needs.
  • Drag and drop workflow reduce time when coding.
  • Data prep is simplified by mixture of languages such as SQL and SAS.
Although we didn't implement datapine, we evaluated it but it was way too expensive compared to WPS Analytics.

Do you think Altair SLC delivers good value for the price?

Yes

Are you happy with Altair SLC's feature set?

Yes

Did Altair SLC live up to sales and marketing promises?

Yes

Did implementation of Altair SLC go as expected?

Yes

Would you buy Altair SLC again?

Yes

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.

Altair SLC Feature Ratings

10.0
Pre-built visualization formats (heatmaps, scatter plots etc.)
10
Predictive Analytics
10
10.0
Customizable dashboards
10
10.0
Drill-down analysis
10
Formatting capabilities
10
Integration with R or other statistical packages
10
10.0
Publish to Web
10
Publish to PDF
10
Report Delivery Scheduling
10

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