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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

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Can My Business Achieve Optimal Analytics Without Hiring Dozens of Data Scientists?

Smarten

As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction. There is a need for Advanced Analytics but there is no funding to hire the required resources.

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Will AI Increase the Reach of BI and Analytics?

Birst BI

Today, the BI assembly line is highly dependent on several job roles with different skill sets working together to deliver a report or analytic dashboard to a business user to facilitate better decision making. For BI vendors, this means AI enabled BI will propel customers stuck in the “Access and Reporting” phase to the “Analytics” phase.

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Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Source: RStudio.

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What AI Means to a Data Scientist

Birst BI

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1] Source: Gartner (April 2018).

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Global Hospitals Embark On A Worldwide Medical Data Initiative

Smart Data Collective

The market for big data analytics in healthcare is massive. In fact, on 25 May, 2018, the new European Global Data Protective Requirement legislation (GDPR) came into force. What advantages does it offer in the realm of biomedical R&D? What challenges does an unstoppable, but necessary process imply for the healthcare system?

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2019 US Open Predictions: Doubling Down on the Data

DataRobot Blog

We started with the result of every match (and set scores) for ATP and WTA tour matches from 2010 through 2018. Once we had built this prediction model , we could take the draw of any tournament and simulate the results 100,000 times to find out how often each player would win with that particular draw. Andrew received his Ph.D.