Occam's Razor

APRIL 8, 2013

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

CIO Business Intelligence

JULY 20, 2022

Given how important sustainability metrics are to companies and their stakeholders, it is crucial to identify why it is taking so long for some organizations to jump on board with new technological innovations to implement meaningful change. of CO2 in 2007, the industry has now risen to 4% today and will potentially reach 14% by 2040. .

Technology 138

Technology Metrics Strategy Measurement 138

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. The calculation methodology and query performance metrics are similar to those of the preceding chart.

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

The Unofficial Google Data Science Blog

APRIL 19, 2021

For these ML systems, calibration simplifies interaction. The numerical value of the signal became decoupled from the event it was measuring even as the ordinal value remained unchanged. Calibration and other considerations Calibration is a desirable property, but it is not the only important metric.

Modeling 122

Modeling IT Metrics Testing 122

Domino Data Lab

FEBRUARY 4, 2019

The ability to measure results (risk-reducing evidence). Interactive media plays a much larger role in our work than merely the presentations or blog posts. I don’t have a metric to estimate the time it takes to change company culture because that’s what we call a very small dataset. Frédéric Kaplan, Pierre-Yves Oudeyer (2007).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66