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Business Analytics 101: How To Monitor Business Trends

by cspenn | Sep 23, 2020 | analytics, business analytics, data science, marketing, marketing technology, predictive analytics

In the weeks and months to come, expect significant challenges to business, B2B and B2C. Companies with a solid business analytics strategy and great data sources will have a significant advantage over companies without these assets. How can business analytics help?...

How to predict the second half of 2020?

by Katie Robbert | Jul 3, 2020 | marketing, planning, predictive analytics

Right now, forecasting and predicting anything further out than a few weeks is a fool’s errand for the most part. Here’s just a sample of what’s currently in play that could severely disrupt any marketing/business forecast: The pandemic, still in its early stages...

Cheese of the Week Predictive Forecast: 2020 edition

by Katie Robbert | May 29, 2020 | fun, insights, predictive analytics

Who loves cheese? Lots of people love cheese and next week is National Cheese Day (June 4th) here in the US. We’re showcasing a fun way to see predictive analytics in action, with Cheese of the Week. We first ran this forecast in 2019 for National Cheese day and since...

{PODCAST} In-Ear Insights: Predictive Analytics for Unpredictable Events

by cspenn | Mar 18, 2020 | data science, machine learning, podcast, predictive analytics

In this episode of In-Ear Insights, Katie and Chris respond to a listener question: how valid are predictive analytics forecasts when you’re in the middle of massively unpredictable events? How do you deal with the anomalies of a black swan event, and how do you...

Google Analytics Channel Traffic Forecast

by Katie Robbert | Nov 8, 2019 | google analytics, predictive analytics

“How do I know the effectiveness of my channels to drive traffic?” We hear this question all the time and the problem with answering this is that we could only look historically at what happened, and guess about the future. Until now. Using machine learning-powered...

Losealikes

by John Wall | Oct 4, 2019 | machine learning, marketing, predictive analytics

On January 31, 1969 The Lompoc Record (a newspaper from Lompoc, California) carried an uncredited article from the United Press International Wire service with the Nipsey Russell-esque headline “Nets, Mets even play same way.” The author goes on to poke...