Workday Prism Analytics - Reliable and Rapid Workforce Analytics Platform.
April 01, 2022

Workday Prism Analytics - Reliable and Rapid Workforce Analytics Platform.

Amanda Donaldson | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Workday Prism Analytics

Nearly every employee in my organization uses Workday Prism Analytics to perform data analysis procedures. Based on my experience, Workday Prism Analytics is a great solution that makes it easy and effective to make fully informed decisions by consolidating data in one integrated solution for real-time visualization.
  • Consolidate structured, unstructured and geospatial data from data sources.
  • Self-service analytics-zero coding and no license are needed to visualize data with Workday Prism Analytics.
  • Bring data together through multiple options (API, SFTP and browser file uploads).
  • Adding more video tutorials and articles on how to customize and use all features should be better.
  • Pricing should be slightly lowered or offer discounts.
  • Self-service analytics: involves drag and drop dimensions which requires zero coding.
  • Data governance: Apply contextual security for data access.
  • Data management and integration tools.
  • Self-service data preparation features.
  • Can be accessed through desktop, tablet and mobile devices.
  • Maximize profits by reducing workloads since data preparation to visualization is automated.
  • Cleansing of data enables us to make informed decisions.
Visier People wasn’t rapid to gather data across ETL services mainly from on-premise data sources. Hence, we shifted to Workday Prism Analytics which is absolutely fast in data collection, preparation, modeling, and visualization.

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In my organization, we mainly use Workday Prism Analytics in HR and Finance departments. It not only enables us to make data-centric decisions but also helps reduce the need for data experts since we are able to visualize data on our own through self-service analytics.

Workday Prism Analytics Feature Ratings

Data integration
Data management