With rising layoffs in tech and global companies, many blame economic policies, automation, and shifting business priorities. What do you think is the main reason behind the current wave of layoffs?
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A company observes a sudden drop in sales across multiple regions. The leadership team asks for both explanation and future prevention. As a data professional, which approach best aligns with end-to-end value delivery across analytics, BI, and AI/ML?
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In a large enterprise program involving multiple Agile teams and external vendors, frequent delays are occurring due to cross-team dependencies and shifting priorities. The PMO wants to improve predictability without compromising team autonomy. Which approach would be most effective?
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