Occam's Razor

APRIL 29, 2013

It turns out that Marketers, especially Digital Marketers, make really silly mistakes when it comes to data. Small data. In the last couple months I've spent a lot of time with senior level marketers on three different continents. A benchmark for you: In 2013 if 30% of your time, Ms./Mr.

Marketing 166

Marketing Metrics Advertising Measurement 166

DataKitchen

JUNE 24, 2021

Ryan Chapin explained that at GE Aviation the main products such as jet engines generated tons and tons of data. GE’s goal was to leverage this data to drive faster turnaround times and quicker speed to market. “GE GE formed its Digital League to create a data culture. And I think that really paid off for us.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Occam's Razor

OCTOBER 14, 2014

See step four in the process for creating your Digital Marketing and Measurement Model.]. Here's the complete year 2013… While the numbers for individual month are different, you can see that October spiked and then things came down to below Sept performance by December. None of the four other methods are advisable.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Finally, this is picky, but why is most of the x-axis yearly and then suddenly just until Q2, 2013? Yes, cost per click is metric. Scroll back up.

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? an aspiring author?—?finished

Modeling 59

Modeling Metadata Publishing Sales 59

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. There is only one simple message above, and just two metrics that matter. What is the problem we are trying to solve with this data?

Visualization 148

Visualization IT Strategy Key Performance Indicator 148