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5 Things You Didn’t Know About FDA Data-Driven Software Validation

Smart Data Collective

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. Big data has been instrumental in the software development process. The FDA has used data analytics technology to streamline their process and drastically reduce the risk of missing anything pertinent.

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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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Future of Power BI | Is it worth learning?

The BAWorld

Whether you seek to boost your career, future-proof your skills, or tap into growing demand for data analytics, here are 5 reasons why Power BI might be your best move yet. Human Resources – HR team uses Power BI to perform analysis of employee data and track hiring trends regarding people engagement, as well as turnover rates.

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Top 17 Real-Life Predictive Analytics Use Cases

Marutitech

Predictive analytics is one of these practices. Predictive analytics refers to the use of machine learning algorithms and statistics to predict future outcomes and performances. Key Industries : Banking, Pharmaceutical, Automotive, Retail, Insurance, Telecommunications, Utilities. 4. Next Best Action. Risk Modeling.

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McKesson: Using Big Data to Improve Care and Save Lives

Sisense

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade. Ready to disrupt the market?