In the past two decades, the diversity and production of big data and its accessibility have ballooned enormously, thereby creating new opportunities for insights about organizations and markets. Yet those opportunities cannot be fully realized without an understanding of the analytic strategies needed to approach the data, and what insights they can and cannot provide.
, we understand that real science in data sciences lies in the ability to transform the data into actionable information.
Our advancement in computing infrastructure have led to an explosion in both the types and the quantity of data available, making data from traditional sources that required specialized equipment or privileged access (e.g., trading information, satellite data, social commentary from around the world), accessible instantly to almost everyone.
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