A retail chain wants to combine its point-of-sale transactions, website clickstream records, and social-media comments in a cloud analytics platform. From a business perspective, why can integrating these diverse datasets accelerate the company's digital transformation?
It prevents the organization from analyzing unstructured feedback, reducing the complexity of its data pipeline.
It creates a single, comprehensive customer view that supports real-time personalized offers and better inventory decisions.
It limits access to insights to data scientists only, ensuring non-technical teams do not influence decisions.
It removes the need for any data governance, because storing everything together makes compliance automatic.
Integrating structured and unstructured data in the cloud breaks down silos and produces a richer, unified view of each customer. This enables near real-time personalization and data-driven inventory or marketing decisions that create new value. Simply reducing costs, blocking access, or excluding unstructured feedback would limit insight generation and slow, rather than accelerate, digital transformation.
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