GoodData today unveiled two new data integration and modeling capabilities for its analytics platform on Friday, each designed to enable self-service users to prepare their data for analysis.
The vendor, founded in 2007 and based in San Francisco, began an overhaul of its platform during the summer of 2019, shifting from a focus on embedded BI to self-service analytics, and the new data modeling capabilities are part of that overhaul.
CSV Modeling, now generally available, enables users to create or prototype data models from comma-separated value files (CSVs) stored on Amazon S3 or kept on premises. With the new tool, organizations without cloud data warehouses have the ability to develop data models from CSV files, automatically update the underlying data, and build dashboards on top of those data models for analysis.
Cloud Data Warehouse Modeling, meanwhile, is scheduled to be available in early November and enables users to create data models using data stored in cloud data warehouses. Using a drag-and-drop interface, users are able to easily search and select datasets from their cloud data warehouse and create the data models that lead to analysis and insight.
And for those organizations that have some of their data stored in CSV