Data analytics company Databricks Inc. said Thursday it launched a platform that helps retailers draw faster insights from their data.
The platform, called Lakehouse for Retail, has industry-specific tools that help users tackle challenges with inventory management, demand forecasting and recommendation modeling. the company said.
“The vision of lakehouse helps solve many of the challenges retail organizations have told us they’re facing,” said Ali Ghodsi, chief executive and co-founder of Databricks.
The San Francisco-based company sells services based on open-source Apache Spark, a real-time data-analytics technology that Mr. Ghodsi helped create. Apache Spark emerged from the University of California, Berkeley, in 2009.
Lakehouse for Retail consolidates a variety of information in a single digital repository. In the past, such repositories, often called data lakes, required users to make a copy of the data so that it could be structured and analyzed in a separate environment, the company said. The newer concept of the “lakehouse” allows users to analyze data in the repository itself, according to Databricks.