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You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science and leadership you should be reading.

A Data Science Leader’s Guide to Managing Stakeholders via @analyticsvidhya

Broadly speaking, there are three main stakeholders. Each stakeholder has priorities which can, at times, be orthogonal to those of the others.

Read the full article here: https://www.analyticsvidhya.com/blog/2019/08/data-science-leader-guide-managing-stakeholders/

How to Use SEMrush for Content Marketing via @AlinaSEO

Content Marketing specialists face more than their fair share of challenges; strategic analysis, ideation, content creation, optimization, distribution, and measuring performance — all of this takes time and demands extra resources.

Read the full article here: https://www.semrush.com/blog/how-to-use-semrush-content-marketing/

Simplifying Google Analytics configuration with Google Tag Manager via @timothyjjensen

Google Tag Manager offers an extensive integration with Google Analytics, allowing you to configure anything from installing the default code to covering advanced tracking scenarios.

Read the full article here: https://searchengineland.com/simplifying-google-analytics-configuration-with-google-tag-manager-320002

Deep learning is about to get easier — and more widespread via @venturebeat

Transfer learning reduces the amount of training data required to create an AI model.

Read the full article here: https://venturebeat.com/2019/07/28/deep-learning-is-about-to-get-easier-and-more-widespread/

The rocky road of the chief data officer: Analysts weigh in at MIT CDOIQ Symposium via @SiliconANGLE

“Digital means data,” Vellante stated. “Data is not the new oil. Data is more valuable than oil because you could use it multiple times. That creates more data, more complexity, more security risks, more privacy risks, more compliance complexity. But yet at the same time, more opportunity.”

Read the full article here: https://siliconangle.com/2019/07/31/rocky-road-chief-data-officer-analysts-weigh-mit-cdoiq-symposium-mitcdoiq/

 

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