Looker Sees A Way To Boost Data Scientist Productivity With New Data Workflow Capabilities

Data analytics platform developer Looker is making it easier for users to tap into data science tools that help reduce time-consuming data preparation chores and allow data scientists to focus on more valuable model-building tasks.

Tuesday Looker unveiled a new release of Action Hub, the Looker platform component that contains pre-built functions, with capabilities that improve and optimize data science workflows. “Cleaning and preparing data is not the most valuable use of time for data scientists,” said Looker CEO Frank Bien in a statement. Looker is one of the new generation of business intelligence and data analysis software that’s designed to go beyond the stand-alone BI tools of the past by handling a broad range of data modeling and analysis tasks.

Author: Rick Whiting

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