Richard’s a marketing executive for an online leather-goods retailer. He’s focused on data measurement to drive sales of his company’s belt lines. He turned to Google’s automated machine learning to help his company gain a competitive advantage in the marketplace. What’s an important first step that Richard must take to succeed at automation?

  • He needs to learn the data models used by Google’s automation systems.
  • He needs to assign data values to his manual optimization processes in real time.
  • He needs to build data spreadsheets that can be entered into Google’s automation system.
  • He first breaks down his organization’s data silos to ensure data quality. That lets the correct data get recorded by Google’s machine-learning algorithm.

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Correct Answer is:
He first breaks down his organization’s data silos to ensure data quality. That lets the correct data get recorded by Google’s machine-learning algorithm.

To succeed with automation, Richard first breaks down his organization’s data silos to ensure data quality. That lets the correct data get recorded by Google’s machine-learning algorithm. Automation relies on the quantity and quality of her data to train machine learning models. Connect the dots between marketing, sales, and CRM to have the richest data set to fuel Richard’s automated strategy.