16 BIG DATA QUARTERLY | FALL 2015 sponsored content The Enterprise Data Hub in Financial Services Three Customer Case Studies The typical financial services adoption cycle for Apache Hadoop usually begins with one of the two most prominent operational efficiency and cost reduction use cases: data consolidation and multi-tenancy or full-fidelity analytics and regulatory compliance with a centralized data hub. However, an October 2013 study by Sand Hill Group found that only 11% of respondents had progressed beyond their first Hadoop project, and only 9% were using Hadoop for advanced analytics, despite the fact that 62% indicated that they anticipated advanced analytics becoming a top use case during the next 12 to 18 months. 1 With so many organizations seeking

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