O'Reilly on Data

APRIL 23, 2024

In 2005, in “ What is Web 2.0? ,” I made the case that the companies that had survived the dotcom bust had all in one way or another become experts at “harnessing collective intelligence.”

Advertising 334

Advertising Cost-Benefit Marketing Risk 334

Occam's Razor

DECEMBER 9, 2013

Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Bonus: Facebook Marketing: Best Metrics, ROI, Business Value ]. If you open your copy of Google/Adobe Analytics or CoreMetrics or Webtrekk you'll notice that every single report has a gigantic number of metrics in it. Beat Beneful.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Occam's Razor

APRIL 25, 2011

" I'd postulated this rule in 2005, it is even more true in 2011. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views. Use metrics that matter: Loyalty, Recency , Net Profit, Conversation Rate, Message Amplification , Brand Evangelist Index , Customer Lifetime Value and so on and so forth.

Marketing 127

Marketing Metrics Measurement Testing 127

Occam's Razor

OCTOBER 19, 2010

First presented at an eMetrics summit in 2005 the 10/90 rule was borne out of my observations of why most companies fail miserably at web analytics. Mongoose Metrics ~ ifbyphone. I know Mongoose Metrics a bit more and have been impressed with their solution and evolution over the last couple of years. Mongoose Metrics.

Analytics 136

Analytics Testing Measurement Optimization 136

Smart Data Collective

JUNE 16, 2022

Google Analytics wasn’t launched until 2005. If you are trying to create a great website, then you have to leverage analytics tools to improve the quality of your site by assessing the right metrics. Businesses have been using websites to reach customers for nearly 30 years. Analytics is Crucial for Optimizing Websites.

Analytics 116

Analytics Visualization Testing Analytics Technologies 116

Domino Data Lab

JULY 1, 2021

from keras import optimizers from keras.models import Model from keras.models import Input from keras_contrib.layers import CRF from keras_contrib import losses from keras_contrib import metrics. We start by importing all the libraries needed for the ingestion, exploratory data analysis, and model building. import pickle import operator.

Modeling 111

Modeling Statistics Testing Metrics 111

The Unofficial Google Data Science Blog

JULY 18, 2023

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. We will follow the example of Janson and Olsson , and start from this generalized definition of the metric, which they call iota.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Domino Data Lab

JULY 22, 2019

You know, typically, when you think about running projects, running teams, in terms of setting the priorities for projects, in terms of describing, what are the key metrics for success for a project, that usually falls on product management. The fourth point is something that surprised us completely.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

DECEMBER 18, 2024

Continuous learning was one of the key performance metrics we were measured on. In 2005, EDS made a groundbreaking investment by rolling out neuroscience-based coaching. EDS recognized the unfair advantage flow gave them in the market, not only in terms of innovation but also in attracting and retaining top talent.

Deep Learning 98

Deep Learning Interactive Reporting Digital Transformation 98