Google Digital Garage Certification Practice Exam 2025 – Complete All-in-One Guide to Achieve Certification Success!

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What is considered a significant drawback of collecting too much data without purpose?

It complicates data visualization

It can lead to data paralysis and missed insights

Collecting too much data without a clear purpose can lead to data paralysis, where decision-makers become overwhelmed by the volume of information available. This condition makes it challenging to extract valuable insights or make informed decisions, as the abundance of data can obscure important patterns or trends. When teams are faced with an excess of information, they may struggle to determine which data is relevant to their specific objectives, ultimately hindering their ability to take action effectively.

Moreover, in a landscape where timely decisions are crucial, this paralysis can result in missed opportunities and slower response times. Recognizing which data points are significant and aligning them with the organization's goals is key to turning data into actionable insights. Without this focus, the insights that could be gleaned from data may remain hidden, limiting the effectiveness of data-driven strategies.

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It increases the size of database files

It causes user confusion on the website

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