Abstract
This paper provides some understandings on what big data analytics are, how they work, some of their applications and how big data analytics can improve the IT service delivery in typical IT organization or IT outsourcing service provider's environment. Both discussion and conclusion are also included. The applications of big data analytics include: recommendation, clustering, classification and frequent pattern matching. Examples for the application of big data analytics are categorized into: a) IT staffing and resourcing, b) IT service level and problem management, and c) IT governance and risk management. Some challenges of adopting big data analytics are also discussed which include: a) Big data analytics are not for everyone, b) Shortage of big data analytical skillset, c) Ethical consideration, and d) Careful planning on what big data to collect.
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