Sara’s a marketing executive for an online clothing retailer. She’s focused on data-driven measurement to drive…

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Sara’s a marketing executive for an online clothing retailer. She’s focused on data-driven measurement to drive sales of her company’s clothing lines. She turned to Google’s automated machine learning to help her company gain a competitive advantage in the marketplace. What does Sara do to succeed at automation?

  • She needs to learn the data models used by Google’s automation systems.
  • She needs to choose a CRM that can process the data from Google’s automated machine learning.
  • She needs to assign data values to her manual optimization processes in real time.
  • Sara first breaks down her organization’s data silos to ensure data quality. That lets the correct data get recorded by Google’s machine-learning algorithm.

Correct Answer is: Sara first breaks down her 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, Sara need to break down data silos and ensure data quality. 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 Sara’s automated strategy.