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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Assisted Predictive Analytics Benefits All Team Members!

Smarten

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics?

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3 Things Citizen Data Scientists Need in Predictive Analytics!

Smarten

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Complete Set of Analytical Techniques. Access to Flexible, Intuitive Predictive Modeling.

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Citizen Data Scientists Are Key. So Is the Solution They Use.

Smarten

Select the Augmented Analytics Solutions That Will Best Support Them! If you can take the guesswork and data science skills requirement out of the analytical process, your Citizen Data Scientists will thrive and your organization will get the most out of its commitment to self-serve augmented analytics and digital transformation (Dx).’

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What’s the Difference Between Business Intelligence and Business Analytics?

Sisense

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.

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Machine Learning and AI Underpin Predictive Analytics to Achieve Clinical Breakthroughs

Cloudera

Despite advances made in EHRs of late, they, unfortunately, do not provide advanced analytics or intelligent search for that matter. Together in tandem with MetiStream, a healthcare analytics software company, Cloudera addresses many of these challenges. Ember exploits FHIR beyond data exchange to empower interoperable analytics.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time.