GoodData Simplifies Data Modeling with Latest Release

GoodData, a provider of end-to-end analytics solutions, is releasing a new web-based logical data model (LDM) modeler, bringing new capabilities and tooling to enables the simplification of data modeling.

The web-based LDM modeler compliments the recently released GoodData data source management interface, which enables easy connection to Google BigQuery, Amazon Redshift, Snowflake, or a CSV file.

When integrated together within GoodData’s interface, users gain the benefits of a single tool and can speed time to market for new data products as a result of better communication between teams taking care of physical data and those developing reporting, including the logical data model.

This all supports GoodData’s semantic layer and its ability to simplify the complexity of data and make it more understandable to end-users.

“Achieving smooth collaboration between data engineers and data analysts is the greatest challenge facing enterprises building new data products for customers, or a reporting portal with a roll-out plan for every company branch. With our recent release, companies will bring analytics faster to their markets, both internal and external,” said Zdenek Svoboda, GoodData’s VP of product and marketing and co-founder.

The key benefits of the GoodData semantic layer which is supported by our new LDM modeler includes:

  • Ease of use for non-technical users
  • Alignment between users
  • Augmented ad hoc analytics and data discovery
  • Improved collaboration between data engineers and analysts

An additional benefit of the recent release is the guidance GoodData provides when modeling the output source from the company's cloud data warehouse.

GoodData suggests the data structure according to the data model and vice versa. When the data source or data structure  is changed, which is common, the data model can also be updated, so that teams save time in communication and explaining the changes

For more information about this release, visit