Predictive analytics refers to the practice of deriving insights from existing information and data in order to predict future trends and events. In fact, one of the best uses of big data is in reducing ambiguity and uncertainty of future events by establishing patterns in the existing data. Predictive analytics can help companies in identifying the potential risks and opportunities by providing an enhanced understanding of their customers and products.
Predictive analytics is what brings mammoth amounts of ‘big data’ into execution. It’s the final step in the whole big data loop where measurable outcomes are generated in financial terms. It is useful in making decisions wherein risks are minimized to the largest extent possible. Some of the very obvious areas where predictive analytics can be useful are insurance and financial markets.
With our services you can get the required data scraped for your finance or insurance industry. We:
- Scrape stock related data daily, every hours in order to analyze market movement.
- Scrape analytic data from finance websites or groups (Yahoo Finance)
- Scrape / auto download bank statements from websites
- Scraping information from insurance providers websites
- Capture the names and contact details of insurance agents
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