Text Analytics

The text analytics is basically the process of the application of linguistic, machine learning, and statistical techniques on the text-based sources. The text analytics is used to derive an insight or meaning from the text data by application of these techniques.

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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.
90% of enterprise analytics and business professionals currently say data and analytics are key to their organization’s digital transformation initiatives.
21 percent of investment professionals use web traffic to derive data.
Only 7% of marketers surveyed report that they are currently effectively able to deliver real-time, data-driven marketing engagements across both physical and digital touchpoints.
Businesses that use big data saw a 10 percent reduction in overall cost.
73 percent of businesses consider Spark SQL critical to their analytics strategies as a big data access method.
79 percent of enterprise executives say that not embracing big data will cause companies to lose competitive position and risk extinction.
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.
53 percent of companies are adopting big data analytics
55 percent of North American businesses have adopted big data analytics.

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