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Enterprises Facing New, Stringent Privacy Regulations

Are you ready for new global data regulations? Even if your company doesn't have a business relationship in the EU or Canada, your customers, partners, or suppliers might be reluctant to do business with anyone who can't abide by their data privacy rules.

AI and Analytics: The Rise of the Machines

We are headed towards a future populated with AI and machine learning, where machines take on more of the work people have traditionally done. What does that mean for the business analytics professional?

Predictive Analytics Is the Future of B2B Marketing

Enterprises want to use data science and machine learning to increase their marketing ROI. One new player is a predictive account-based marketing company called Prophyts.

Data Models: Beauty Is in the Eye of the Implementer

The data vault model and data warehouse automation are worth investigating if you are about to embark on a new data warehouse project.

Migrate Data Without Holding Business Back

Migrating to the cloud can be simplified by data virtualization.

Busting 5 Myths about Data Lakes

The data lake is still misunderstood by many data professionals.

Multiplying Your Analytics Insights

In improving analytics, we often focus on obtaining more powerful platforms and bigger data. We neglect the second half of the equation: the abilities of our business users.

Top 5 Cloud Security Threats You Need To Understand

Data in the cloud is considered secure, but that doesn't mean you're safe from these five threats.

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Q&A with Jill Dyché

Find out what's keeping teams up at night and get great advice on how to face common problems when it comes to analytic and data programs. From head-scratchers about analytics and data management to organizational issues and culture, we are talking about it all with Q&A with Jill Dyche.

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