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In this episode, we explore Big Data → Connected Data → Globally Connected Perspectives — tracing how enterprises evolved from just collecting huge volumes of data to making sense of it by connecting disparate data sources and delivering insights with global context. We dig into planning the data journey: defining what data you need up front, building an “information & source matrix,” ensuring data formats, availability and integrity, and engineering “soft” vs. “hard” connections across sources. The goal: amplify insights, improve decision-making, and create contextual, cause-and-effect perspectives that are globally relevant. https://blog.datamatics.com/big-data-to-connected-data-to-globally-connected-perspectives (blog.datamatics.com)
By DatamaticsIn this episode, we explore Big Data → Connected Data → Globally Connected Perspectives — tracing how enterprises evolved from just collecting huge volumes of data to making sense of it by connecting disparate data sources and delivering insights with global context. We dig into planning the data journey: defining what data you need up front, building an “information & source matrix,” ensuring data formats, availability and integrity, and engineering “soft” vs. “hard” connections across sources. The goal: amplify insights, improve decision-making, and create contextual, cause-and-effect perspectives that are globally relevant. https://blog.datamatics.com/big-data-to-connected-data-to-globally-connected-perspectives (blog.datamatics.com)