Analytics

Analytics news, analysis, how-to, opinion and video. | CIO

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Why data governance?

Data governance used to be a nice to have, but due to the increasing focus and importance of data and analytics, it’s becoming a necessity that helps to drive data management across the enterprise.

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How to assemble a highly effective analytics team

The right mix of skills, strong leadership and stretch goals are just a few of the secrets to building a top-notch analytics team primed to derive lasting value from your data.

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Why 2018 will be the year of mobile data measurement and insights

While there is promising momentum in the growth of mobile location data for measurement and insights, there is still a lot of work to be done.

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How sports clubs can use data to secure their futures

The more data clubs collate and analyze, the greater the possibilities to boost engagement with fans, and the more potential they have to generate valuable new revenue streams.

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The ghosts of Christmas retail: data management past, present and yet to come

It’s never too late to do something about your regrets and wake up to a happier, data-fueled Christmas.

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Why weather data is now your business

4 strategies for CIOs to maximize the value of advanced weather data.

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7 power tips for Microsoft Power BI

Microsoft’s Power BI service can visualize a lot more than chart data; from asking questions to analyzing the services you use, here’s how to make the most of it.

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Adopt real-time data analytics or get left behind

As innovators race toward real time, the wise CIO is one who embraces the fastest and most efficient means of analyzing data.

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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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9 ways you’re failing at business intelligence

Solid business intelligence is essential to making strategic business decisions, but for many organizations, BI efforts are derailed by poor data practices, tactical mistakes and more.

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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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Fall 2017: Hot trends in data analytics

The range of technologies and techniques for analyzing vast volumes of data is expanding at a rapid pace. If your organization is looking to leverage data analytics for actionable intelligence, this heat index should be your guide.

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What’s the difference between a chief data officer, chief digital officer, and chief analytics officer?

Companies are increasingly developing new executive roles aimed at making the organization as a whole more data-driven and digitally adept. Here’s how three new tech exec titles take different approaches to tackling the same problem.

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Information blindness

Many leaders are crying out to see – to both access and visualize information that may be spread across multiple platforms and geographies. Here's how one healthcare organization healed themselves.

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Why your BI strategy needs a universal semantic data layer

A universal semantic data layer is a single business representation of all corporate data aimed at helping users access data using common business terms via the BI and analytics tools of their choice.

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8 data science bootcamps to boost your career

Whether you’re a recent grad, seasoned IT pro or someone looking to make a career change, these bootcamps will set you on the right path for a career in data science.

CIOs should focus on accurate, long-term NPS to measure loyalty

CIOs needs effective tools for measuring their team’s impact on customer experience. NPS is one of my favorite tools for this, if it’s used correctly.

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How companies are creating data scientists in-house

AT&T, Booz Allen Hamilton, Ibotta and Qlik are just a few of the companies launching programs to develop internal data science talent to help fill their data analytics needs.

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7 sure-fire ways to fail at data analytics

Data analytics is fast becoming the key to a winning business strategy. But without the right approach, skills, and tactics, your data initiatives may never add up.

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The data-centric enterprise: Not yet a done deal

Data is turning into a new source of competition yet complexity, missing data quality and a rising talent shortage could prevent enterprises from harvesting their efforts.

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