Data analytics refers to the process of examining datasets to draw conclusions about the information they contain.
Some of the technologies that make modern data analytics so powerful are:
Data needs to be high quality and well-governed before it can be reliably analyzed. With data constantly flowing in and out of an organization, it's important to establish repeatable processes to build and maintain standards for data quality.
Data mining technology helps you examine large amounts of data to discover patterns in the data – and this information can be used for further analysis to help answer complex business questions.
Predictive analytics technology uses data, statistical algorithms and machine-learning techniques to identify the likelihood of future outcomes based on historical data. Applications include fraud detection, risk and marketing.
Take a look at an overview of platforms we developed.
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