Quantzig, a global data analytics and advisory firm, that delivers actionable analytics solutions to resolve complex business problems has announced the completion of its recent article that examines the role of data warehousing and data mining in combating COVID-19.
To know why leading Fortune 500 healthcare and pharma companies rely on Quantzig when it comes to data warehousing and data mining
The article also offers comprehensive insights on:
1. The top data mining trends of 2020
2. The benefits of data warehousing and data mining in the healthcare industry
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Currently, the whole world is looking forward to data-driven insights to combat coronavirus. Data analytics has already started to show fruitful results by predicting the impact of coronavirus. To devise an appropriate predictive analytics model for analyzing the outbreak, mining medical data isn’t sufficient, but you also need to get faster and smarter at it. By leveraging Quantzig’s advanced data analytics solutions that leverage data mining and text analytics you will be able to convert bigger datasets into actionable insights in a much smaller span of time. We must take note of this fact that the healthcare industry doesn’t revolve around just physicians and patients but also third parties like insurance companies. Secured and organized data is a good opportunity for organizations to save money. All they need is to represent their facilities in an accurate way by leveraging advanced data warehousing and data mining solutions.
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According to Quantzig’s data analysts, “Despite the opportunities like universal accessibility and digitalization, the global healthcare system is facing several obstacles due to changes in healthcare requirements.”
Healthcare data warehousing and data mining might remain an unexplored field and most of the health organizations and researchers are still unaware of its benefits. In this current scenario of the world, healthcare organizations can’t afford to unsee the benefits of data warehousing and data mining in combating the novel coronavirus.