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. Test different value propositions. Test different value propositions. Then you can take measures to update your site.

Analytics 97

Analytics Testing Visualization Analytics Technologies 97

Occam's Razor

APRIL 25, 2011

" I'd postulated this rule in 2005, it is even more true in 2011. Doing anything on the web without a Web Analytics Measurement Model. Bring a structured approach to your measurement strategy, bring some process, let a Web Analytics Measurement Model be the foundation of your program. The 10/90 rule.

Marketing 126

Marketing Measurement Metrics Testing 126

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

AWS Big Data

OCTOBER 11, 2023

Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue. We use two datasets in this post.

Management 107

Management Metadata Analytics Dashboards 107

Cloudera

MAY 18, 2021

Value-at-Risk (VaR) is a widely used metric in risk management. It helps identify risk exposures, informs pre-trade decisions, and is reported to regulators for stress testing. ABM generated synthetic data can be useful in situations where historical data is insufficient or unavailable. Intraday VaR. Citations. [1]

Risk 96

Risk Marketing Risk Management Data-driven 96

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. Finally, we split the resulting dataset into a training and hold-out set, so that we can measure the performance of the classifier on unseen data.

Modeling 111

Modeling Statistics Testing Metrics 111

Occam's Razor

DECEMBER 9, 2013

To learn more about the Do in stage one please review my See-Think-Do-Coddle framework for content, marketing and measurement.]. 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 ]. Don't do paid search. Beat Beneful.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165