By definition, Big Data is all about collecting large (or “Big”) volumes of structured and unstructured data. What makes Big Data useful is analysis of the collected information to find patterns and meaning that otherwise would be left undiscovered. Making sense of Big Data is the realm of Big Data analytics tools, which provide different capabilities for organization to derive competitive value.
What should you look for when selecting Big Data Analytics tools for your business? Analytic Capabilities. There are multiple types of analytics capabilities with different models for various types of analysis including: predictive mining, decision trees, time series, neural networks, path analysis, market basket analysis, and link analysis. Integration. Often additional statistical tools and programming languages (such as R) are needed by organization to conduct other forms of custom analysis.
Author: Sean Michael Kerner
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