Occam's Razor

MARCH 12, 2012

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. No one quite knows.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

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.

Data Warehouse 124

Data Warehouse Dashboards Risk Management Risk 124

Occam's Razor

APRIL 8, 2013

First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. For each of them, write down the KPI you're measuring, and what that KPI should be for you to consider your efforts a success. Measure and decide what to do.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

IBM Big Data Hub

JUNE 1, 2023

The rule proposal would require US publicly traded companies to disclose annually how their businesses are assessing, measuring and managing climate-related risks. This would include disclosure of greenhouse gas emissions as a measure of exposure to climate-related risk.

Risk 56

Risk Reporting Measurement Finance 56

The Unofficial Google Data Science Blog

JULY 22, 2020

For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. Ramp-up solution: measure epoch and condition on its effect If one wants to do full traffic ramp-up and use data from all epochs, they must use an adjusted estimator to get an unbiased estimate of the average reward in each arm.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration. Brace yourselves for impact.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

DECEMBER 28, 2021

These controlling measures are essential and should be part of any experiment or survey – unfortunately, that isn’t always the case. This means that there is no definable justification for the placement of the visible measurement lines. In 2007, Colgate was ordered by the Advertising Standards Authority (ASA) of the U.K.

Statistics 363

Statistics Advertising Visualization Data mining 363