Augmented Analytics – Top 5
Leverages Machine Learning (ML) automation to augment data profiling and data quality, harmonization, modelling, manipulation, enrichment, metadata development, and cataloguing. It includes capabilities like automated matching, joining, profiling, tagging and annotating data prior to data preparation, sensitive attribute recognition, automating repetitive transformations and integrations, data quality and enrichment recommendation.
Dashboarding and Data Visualization – Top 5
Supports creating advanced and sophisticated visualizations, enables data to be presented as an animation, guides the users by suggesting the best suitable visualization for the graphical representation of the selected data, and five other functional requirements.
Data Querying – Top 5
Allows users to Batch Updates, perform Complex Queries, execute In-Memory Analysis, maintains a direct connection and five other key requirements.