Comparative Analytic-oriented Database

Comparative analytic is a special type of data mining technology which compares large data sets, multiple processes or other objects using statistical strategies such as filtering, decision tree analytics, pattern analysis etc.

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83 percent of enterprise executives say they’ve pursued big data projects to gain a competitive advantage.
90% of enterprise analytics and business professionals currently say data and analytics are key to their organization’s digital transformation initiatives.
59 percent of executives say big data at their company would be improved through artificial intelligence (AI).
More than 150 zettabytes (150 trillion gigabytes) of data will need analysis by 2025.
More than 30 percent of businesses say big data and analytics have fundamentally changed business practices in their research and development departments
90 percent of the world’s data was created between 2015 and 2016 alone.
Data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times as likely to be profitable as a result.
79 percent of enterprise executives say that not embracing big data will cause companies to lose competitive position and risk extinction.
The number of IT professionals using descriptive and predictive analytics grew from the mid-40th percentile to high 60th percentile between January 2018 and January 2019.
53 percent of CEOs consider themselves the primary leader of their company’s analytics agenda.

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