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In today's working environment, managers are continuously faced with abundant data that requires them to deal with it in a vigilant and rigorous way to produce insights and tackle opportunities that can sustain a competitive advantage. Big data analytics can support efficient and effective companies’ operations with superior management control. Our research objective is to identify the initial architecture of the big data implementation process and propose a novel paradigm architecture that will focus on internal and external data analysis that can bring greater value to decision makers. Untapped external data can represent a mine of quality information combining a variety of new data, outdated data, behavioral data, structured data, unstructured data translating to a set of reliable indicators that can contribute to efficient performance measurement.
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Stored only when both papers are in the corpus — 16 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.