Data Science

Data Science | News, how-tos, features, reviews, and videos

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What is data science? A method for turning data into value

Data science is a method for transforming business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more.

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Technology at the helm in the Volvo Ocean Race

Predictive analytics, pervasive communications, and intelligent systems played a key role in the around-the-world Volvo Ocean Race.

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How to get started with predictive analytics

Cast aside your doubts and gain the ability to view and act upon future business needs and opportunities.

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What is a data scientist? A key data analytics role and a lucrative career

The data scientist role varies depending on industry, but there are common skills, experience, education and training that will give you a leg up in starting your data science career.

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What is a data scientist? A key data analytics role and a lucrative career

Data scientists uncover insights from massive amounts of data to help shape or meet business goals. The data scientist role is becoming increasingly important as businesses rely on data analytics to drive decision-making. Here are the...

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12 data science mistakes to avoid

Well-managed analytics initiatives can reap organizational gold. But succumb to one of these common mistakes, and your data science operations can quickly go wrong.

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5 enterprise trends that will drive digital transformation

Over the next year, the traditional enterprise will become the intelligent enterprise – able to detect regulatory, technological, market and competitive challenges and proactively turn them into business successes or opportunities.

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Toys 'R' Us shopper data insights can give toy makers and retailers an advantage

Toys ‘R’ Us is shutting its doors, meaning consumers will begin looking elsewhere for their toy needs. Meanwhile, retailers of all shapes and sizes are clamoring to grab Toys 'R' Us’ market share. Location data could uncover insights...

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Why data science must stand at the forefront of customer acquisition

How valuable big data can be for any business looking for its customers.

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Why data analytics initiatives still fail

Strong data analytics is a digital business imperative — and it all begins with smart data governance practices and an emphasis on quality and context.

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15 data science certifications that will pay off

Looking to get ahead as a data scientist? Earning one of these data science certs will help you stand out in one of the hottest careers in IT.

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3 ways successful CIOs benefit from weather data, forecasts and alerts

How CIOs view the threat of weather and use that data.

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Essential skills and traits of elite data scientists

These days the data scientist is king. But extracting true business value from data requires a unique combination of technical skills, mathematical know-how, storytelling, and intuition.

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6 data analytics trends that will dominate 2018

As businesses transform into data-driven enterprises, data technologies and strategies need to start delivering value. Here are four data analytics trends to watch in the months ahead.

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AI’s biggest risk factor: Data gone wrong

Bad data is big issue for artificial intelligence, and as businesses increasingly embrace AI, the stakes will only get higher. Here’s how not to get burned.

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What does a data scientist do? 7 of these in-demand professionals offer their insights

We catch up with some of the rare unicorns who fill this role to learn about the job and the skills and education that got them there.

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12 myths of data analytics debunked

From data concerns to staffing needs to technology combinations, data analytics misconceptions abound. Here’s a no-bull look at how to leverage data science to deliver bona fide business results.

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What is DataOps? Collaborative, cross-functional analytics

DataOps (data operations) is an emerging discipline that brings together DevOps teams with data engineer and data scientist roles to provide the tools, processes and organizational structures to support the data-focused enterprise.

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