Too much data and not enough analysts.  This article does an excellent job describing the latent power of Analytics, and the potential of citizen data scientists.  All-in-all, a good way to kickoff this month’s focus on Analytical Automation.
https://hbr.org/2018/05/why-marketing-analytics-hasnt-lived-up-to-its-promise

The First 90 Days

Whenever faced with a new job or transition at work, I pull “The First 90 Days” off my shelf.  This is one book I wish I had received earlier in my career.  And many times a data or analytics issue at work is really a question of successfully navigating one’s organization.  Going to give a few copies to new grads…

The Drivers of Opioid Prescription Rates in England

This article by Chief Scientist Dan Putler explores the impact of data science on one of our most pressing social issues, the opioid epidemic, in a very accessible way.  And the Alteryx Community contains a wealth of information for learning more about Predictive Analytics…more to come.

https://community.alteryx.com/t5/Data-Science-Blog/The-Drivers-of-Opioid-Prescription-Rates-in-England/ba-p/135244

Calculating CLV with Artem Mariychin of Zodiac Metrics

What is the fundamental unit of value to a business? It turns out it’s the customer. Artem Mariychin, CEO and Co-Founder of Zodiac Metrics, joins host Allison Hartsoe to explain why companies should care about calculating Customer Lifetime Value (CLV), how to establish an accurate CLV formula model, and the positive business impact organizations can drive. Artem outlines how through having the right information and a data-driven approach to the customer, companies are able to increase their ROI and make better business decisions.

from Ambition Data…

Statista offers a search engine for market data, surveys, and statistics via corporate subscriptions.  But a certain amount of information is publicly available.  Here’s an example of a search on Education in China.  It yields a short overview of how education is structured in China, some interesting high-level stats on things like number of universities, number of enrolled students in public universities, etc.  You can see the high level numbers on the main search results page, but clicking into details (here’s the ‘number of universities’ detail page) runs you into the paywall.

https://www.statista.com/topics/2090/education-in-china/