Features of Yellowfin BI

Data Preparation

• Big Data - Ability to handle large, complex, and/or datasets.
• Data Transformation - Can read of convert data formats of source data into the format required for the analytics platform without creating data quality issues. 
• Connectors - Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.
• Data Governance - Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data
  

Data Modeling and Blending

• Data Modeling - Ability to (re)structure data in a manner that allows insights to be created quickly and accurately.
• Data Querying - Using formulas based on existing data elements, users can create and calculate new field values
• Data Filtering - Business users have the ability to filter data in a report based on predefined or automodeled parameters.
• Automodeling - Tool automatically suggests data types, schemas and hierarchies.
• Data Blending - Allows the user to combine data from multiple sources into a functioning dataset.
  

Data Visualization

• Reports - User interface for standard and self-service reports is intuitive and easy to use.
• Graphs and Charts - Offers a variety of graph and chart formats for visualzation of data.
• Score Cards - Score cards visually track pre- and user-defined KPIs.
• Dashboards - Provides business users an interface to easily design, refine and collaborate on their dashboards
  

Insights

• Steps to Answer - Requires a minimal number of steps/clicks to explore data and insights for user enquiries.
• Data Discovery - Users can drill down and explore data to discover new insights.
• Predictive Analytics - Analyze current and historical trends to make predictions about future events.
  

Self Service

• Calculated Fields - Using formulas based on existing data elements, users can create and calculate new field values.
• Data Column Filtering - Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Advanced Analytics

• Predictive Analytics - Analyze current and historical trends to make predictions about future events.
• Data Visualization - Communicate complex information clearly and effectively through advanced graphical techniques.
• Big Data Services- Ability to handle large, complex, and/or siloed data sets.

Platform 

• Mobile User Support
• Customization
• User, Role, and Access Management
• Internationalization
• Sandbox / Test Environments

Pricing