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Databricks launches new data lakehouse for retailers and consumer good customers

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Singapore – Global data and AI company Databricks has recently launched Databricks Lakehouse for Retail, which is a new centralized data and AI platform catered to retailers and consumer goods (CG) customers. Some of its early adapters include Walgreens, Columbia, H&M Group, Reckitt, among others.

With Databricks’ Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing. In addition, it delivers an open, flexible data platform, data collaboration and sharing, and a collection of tools and partners for the retail and consumer goods industries

Designed to jumpstart the analytics process, new Lakehouse for Retail Solution Accelerators offer a blueprint of data analytics and machine learning use cases and best practices to save weeks or months of development time for an organization’s data engineers and data scientists.

Some of the solutions offered include real-time streaming data ingestion, demand forecasting and time-series forecasting, as well as machine learning-powered recommendation engines.

Ali Ghodsi, CEO and co-founder at Databricks, said, “Databricks has always innovated on behalf of our customers and the vision of lakehouse helps solve many of the challenges retail organizations have told us they’re facing. This is an important milestone on our journey to help organizations operate in real-time, deliver more accurate analysis, and leverage all of their customer data to uncover valuable insights. Lakehouse for Retail will empower data-driven collaboration and sharing across businesses and partners in the retail industry.”

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