In this episode of In-Ear Insights, Katie and Chris discuss what to do when you data sources off the beaten path. What if the data you have doesn’t answer the questions you have? Where do you go to get such data? Listen in as they explore Mastodon, cryptocurrencies, and so much more. [podcastsponsor] Listen to […]
Read More… from {PODCAST} In-Ear Insights: Nontraditional Data Sources
One of the most hotly debated topics in autumn is, of course, the existence of pumpkin spice everything – from pumpkin spice lattes and coffee drinks to absurd parodies like pumpkin spice brake pads. Some people love it, while other people hate it; pumpkin spice is as hotly contested as any binary argument, like Red […]
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. Future of data science: 5 factors shaping the field via @TechRepublic “Chief among these is […]
Read More… from Marketing Analytics, Data Science and Leadership – August 26, 2019 Week In Review
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 4: Modeling-Related AI Failures
INBOUND, Hubspot’s annual mega-marketing and user conference, is just around the corner. One of our favorite pastimes at Trust Insights is to understand what’s on the minds of industry leaders as conference season rolls around, and there are few better ways to do that than to dig into what speakers have been sharing all year. […]
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 […]
Read More… from {PODCAST} In-Ear Insights: Predictive Analytics at BACon 2019
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 3: Data-Related AI Failures
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 […]
Read More… from Marketing Analytics, Data Science and Leadership – August 5, 2019 Week In Review
In this week’s episode of In-Ear Insights, Katie and Chris tackle the thorny issues of user data privacy and what expectations a company should plan to meet when it comes to protecting users – even when the users make bad choices. Learn the different types of private data – PII, SPI, and PHI – as […]
Read More… from {PODCAST} In-Ear Insights: Customer Data Protection and Privacy
This is the second part in a series on attribution. For an explanation of what attribution is, start out with Part 1 here. Ok, now that you know what Attribution is, this post will show you how to get started. This is where most companies should begin if they are currently not doing anything. Usually […]
Read More… from Attribution Part 2: Source Codes and Reconciliation
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