Integrate with a large range of data sources including files, direct application integration for ease of migration as well as real-time streams
Out of the box support for various formats enables migration to the cloud warehouse without the need to transform or pre-process the data in advance
The cloud warehouse is location and hosting agnostic giving freedom to choose from popular hosting providers
based on preference
Scale data processing horizontally using Spark and Kafka
Define data flows that can securely pull data directly from any external system
Leverage the power of data process automation which doesn’t necessitate or mandate persistence but can share data anywhere based on preference
Process data retroactively using historical data to compare scenarios and prepare models with new outcomes
Analyze processed data with a large ecosystem of compatible best of breed analytics solutions to derive valuable insights
Build and train models to give better predictions with automated data analytics using modern machine learning capabilities
Setup predictive and prescriptive models as needed by the business to get targetted insights with possible outcomes
Change quickly to adapt to new measures and analyze new dimensions with simply refactoring and reuse of models
Unlock advanced and broader interoperability with external applications for data analysis and planning with native support for standard OData protocols
Benefit from a large repertoire of familiar algorithms and formulae for statistical transformation and analysis of data and scenarios
Create simple lists of tasks to continuously track and assign work wihin the team
All apps are customizable to suit specific needs with standard apps covering common user requirements
Changes to apps and new apps are deployed instantaenously to all users without tedious release management steps
All apps are responsive and mobile friendly to give every user a modern look and feel
Display reports from 3rd party BI as pages in user apps
