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Marketing Analytics, Data Science and Leadership – August 19, 2019 Week In Review

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. Is Facebook listening to you through your phone? Almost certainly not via @RealBenGilbert “Facebook isn’t […]

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A marketer’s guide to surviving the summer slow down

It happens to all of us from time to time and it’s nothing to be afraid of. The slow down, the lull, the quiet time. Sometimes it’s planned and needed, sometimes it happens out of nowhere. When you know that downtime is about to happen you probably have some other tasks planned that generally get […]

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In The Headlights: August 14, 2019 Issue

You collectively voted, and we heard you: IMAGE Rear View Mirror Data stays as a regular column. We’ll move it just below The Bright Idea for this and future issues of the newsletter in its new home. If you’re interested in how we did the polling, it’s a very straightforward process. Google Analytics automatically tracks […]

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{PODCAST} In-Ear Insights: Predictive Analytics at BACon 2019

In this episode of In-Ear Insights, listen to the full, un-abridged audio from CEO Katie Robbert’s talk at the Business Analytics Conference (BACon) as she walks through use-cases for predictive analytics in multiple industries, from forecasting real estate sales to customer service call center staffing. You’ll also learn what constitutes good data and the overall […]

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Marketing Analytics, Data Science and Leadership – August 12, 2019 Week In Review

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.   7 Digital Marketing Strategies That Actually Work via @JoshuaCHardwick The key to digital marketing […]

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5 Ways Your AI Projects Fail, Part 3: Data-Related AI Failures

Introduction The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this […]

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In the Headlights: August 7, 2019 Issue

This is the second week of us testing the Rear View Mirror Data column, shown below. What do you think? Are these snippets of data about marketing channels useful and helpful? Tap/click your reply here: Yes, I find the Rear View Data helpful. Please keep publishing it. No, I don’t find the Rear View Data […]

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{PODCAST} In-Ear Insights: Agile Marketing Best Practices

In this episode of In-Ear Insights, Katie and Chris review the basics of agile marketing: What agile marketing is Where agile marketing came from What practices are easiest to adopt for marketers Sprint planning Scrums Kanban boards Standups What marketers should know about agile marketing Listen in and use these ideas to improve your own […]

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Marketing Analytics, Data Science and Leadership – August 5, 2019 Week In Review

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 […]

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5 Ways Your AI Projects Fail, Part 2: Strategic AI Failures

5 Ways Your AI Projects Fail, Part 2: Strategic AI Failures

Introduction The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this […]

Read More… from 5 Ways Your AI Projects Fail, Part 2: Strategic AI Failures

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