This whitepaper argues that becoming a data-driven enterprise is a culture and architecture problem, not just a tooling upgrade, because organizations struggle with acquisition, processing, analytics, governance, security, compliance, and inconsistent data models. It says analytics creates business value by turning structured and unstructured data into insights that improve revenue and profitability, brand recall, and sustained digital transformation, but progress is often blocked by siloed data, “dark” unstructured data that is stored but unused, weak data strategy, and inadequate infrastructure. It recommends a people-process-technology approach anchored in strong data governance, security, and compliance, supported by continuous platform evolution that democratizes data access and short

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