Strategies for Transitioning to a Cloud First Enterprise

DATAVERSITY

A great comfort with cloud deployment has emerged. Businesses are migrating databases to the cloud or building databases there as a result of scale challenges with the on-premises model, the cloud becoming the “center of gravity”, on-premises databases reaching capacity or emerging uses cases that are specific to the cloud. But not all organizations! And some struggle mightily with the move!
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Spotlight

According to a prediction by Gartner, the revenue in the business intelligence and analytics market will grow 5.2 percent in 2016, reaching $16.9 billion. Ellie Fields, VP of Product Marketing at Tableau, created a list of the Top 10 Business Intelligence Trends for 2016. We've summarized this list into an infographic that's easy to digest and have included a "Big Data Market Forecast" which breaks down spending by sub-types. Find out why CIOs are making BI and Analytics a top priority in 2016 and beyond.

OTHER ON-DEMAND WEBINARS

Riding the Data Privacy Wave: How Will You Stay Afloat?

IBM

Data privacy regulation is bigger than just GDPR. Other countries and jurisdictions are enacting their own versions of the data privacy regulation, each with subtle nuances - such as the California Consumer Privacy Act (CCPA), Lei Geral de Proteção de Dados (LGPD), and more - and that’s on top of existing privacy regulations. Moreover, consumers increasingly expect more protection for their sensitive information. A recent IBM-Harris poll of 10,000 individuals revealed that 75% of consumers won’t buy from companies they don’t trust no matter how great their product or service.
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Key Elements of a Successful Data Governance Program

At its core, Data Governance (DG) is all about managing data with guidance. This immediately provokes the question: Would you tolerate any of your assets to be managed without guidance? (In all likelihood, your organization has been managing data without adequate guidance and this accounts for its current, less-than-optimal state.) This program provides a practical guide to implementing DG or recharging your existing program. It provides an understanding of what Data Governance functions are required and how they fit with other Data Management disciplines. Understanding these aspects is a prerequisite to eliminate the ambiguity that often surrounds initial discussions and implement effective Data Governance/Stewardship programs that manage data in support of organizational strategy. Delegates will understand why Data Governance can be tricky for organizations due to data’s confounding characteristics.
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Expert Panel: The Importance of Governance in Data Modernization

Data modernization, especially through cloud migration, is critical to realizing value from today’s fast, diverse, and high-volume data. Modernization is about overhauling legacy data management and practices that hold organizations back from achieving business goals, improving resilience, and reducing risk. However, often overlooked in the rush to develop new applications and migrate data is modernizing data governance. Poor attention to data governance will bake problems into overall modernization efforts that become hard to correct, increase risks, and ultimately reduce the value of data.
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On-Demand Webinar: How Technology Is Changing the Newsroom

This session will be an opportunity for David Clinch, Storyful Founding Partner, to talk about his 30 years of experience in the news industry. David will discuss how the changes in technology continue to impact journalism and will draw on his experience of his time on the International News Desk at CNN where he helped pioneer t
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Spotlight

According to a prediction by Gartner, the revenue in the business intelligence and analytics market will grow 5.2 percent in 2016, reaching $16.9 billion. Ellie Fields, VP of Product Marketing at Tableau, created a list of the Top 10 Business Intelligence Trends for 2016. We've summarized this list into an infographic that's easy to digest and have included a "Big Data Market Forecast" which breaks down spending by sub-types. Find out why CIOs are making BI and Analytics a top priority in 2016 and beyond.

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