Aryng

MAY 12, 2022

We worked through the example of the food delivery […] The post Do your analysts have the permission to ask the why behind the what? We worked through the example of the food delivery […] The post Do your analysts have the permission to ask the why behind the what?

Analytics 52

Analytics 52

Juice Analytics

MARCH 11, 2021

Along the way, we’ve learned a lot about what works and doesn’t. In this series I’ll take you through what you need to know to design, build, launch, sell and support a data product. Take the Academic Insights data product we designed and built for US News and World Report as an example of finding this intersection. (1)

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

O'Reilly on Data

NOVEMBER 28, 2023

A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. What’s the reality? We wanted to find out what people are actually doing, so in September we surveyed O’Reilly’s users. 26% have been working with AI for under a year. But 18% already have applications in production.

Enterprise 271

Enterprise Modeling Testing Reporting 271

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. People have become Gurus hawking it. What does a robust experimentation program contain? It truly is the bee's knees. Wah wah wah waaah.

Experimentation 101

Experimentation Testing Optimization Marketing 101

Occam's Razor

AUGUST 28, 2017

Over the last couple years, I’ve spent an increasing amount of time diving into the possibilities Deep Learning (DL) offers in terms of what we can do with Artificial Intelligence (AI). Some of these possibilities have already been realized (more on this later in the post). Why is this not yet another programmatic moment.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Occam's Razor

AUGUST 11, 2014

My reply was that attribution modeling might not be present in a physical manner, but that it should be there below the surface to ensure our executives have a smarter understanding of a channel's true contribution. The post also shares a total of seven complete modules to your digital analytics dashboards.

Metrics 147

Metrics Dashboards Key Performance Indicator B2B 147

Jet Global

JULY 2, 2020

Perhaps most importantly, built-in reports do not easily lend themselves to analysis. They need to be able to quickly find the answers to questions that might never have been asked before. Otherwise, analysts are working with old data, and they cannot get an accurate picture of what is happening in business right now.

Finance 98

Finance Reporting Software Data-driven 98