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Just like the rise of Uber disrupting the traditional taxi business by completely changing people’s commute behavior – disruptive innovations are also happening in the data and predictive analytics realm today. “Disruptive Innovation” is defined as technologies that emerge to challenge established incumbent businesses, i.e., the traditional way of people doing things. It is not a marginal improvement to make things a little better, but a fundamental change that make the old things obsolete.
The first wave of disruption in data and analytics arrived about 10 years ago, when coding-based data analytics platform is transformed into visual-based platforms. And with that comes the era of modern Business Intelligence, where data are visualized in an interactive and code-free environment and have since then been realizing true business values.