RapidMiner

Much like KNIME, RapidMiner operates through visual programming and is capable of manipulating, analyzing, and modeling. It increases data work productivity through an open-source platform, machine learning, and model deployment. The unified data science platform accelerates the analytical workflows from data prep to implementation. It dramatically improves efficiency.

Octoparse

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The amount of data generated each second in the banking sector will grow 700 percent by 2020.
Customer/social analysis is considered the second most important big data analytics use case, followed by predictive maintenance.
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.
Businesses that use big data saw a profit increase of 8–10 percent.
59 percent of executives say big data at their company would be improved through artificial intelligence (AI).
In 2025, the IoT data analyzed and used to change business processes will be as much as all of the data created in 2020.
In the banking sector, investments in big data analytics were estimated at $20.8 billion in 2016.
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.
8 percent of businesses say data and analytics have fundamentally changed the nature of industry-wide competition
Through 2019, 90% of large organizations will have hired a CDO, but only 50% will be considered a success.

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