Occam's Razor

SEPTEMBER 29, 2009

One of the ultimate excuses for not measuring impact of Marketing campaigns is: "Oh, that's just a branding campaign." It is criminal not to measure your direct response campaigns online. I also believe that a massively under appreciated opportunity exists to truly measure impact of branding campaigns online.

Measurement 128

Measurement Metrics Analytics Marketing 128

Cloudera

OCTOBER 20, 2021

What are the key climate risk measurements and impacts? Stress testing was heavily scrutinized in the post 2008 financial crisis. When it comes to measuring climate risk, generating scenarios will be a critical tactic for financial institutions and asset managers. in partnership with Deloitte, to accurately measure climate risk.

Risk 80

Risk Modeling Risk Management Measurement 80

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 125

Data Warehouse Dashboards Risk Management Risk 125

Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. In their 2002 paper Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Occam's Razor

OCTOBER 14, 2014

[See step four in the process for creating your Digital Marketing and Measurement Model.]. should be 1,356,000), you've set a clear line in the sand as to what performance will be declared a success or a failure at the end of the measurement time period. If you have set the targets for your KPIs up front (Unique Visitors for Sept.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. Find errors before your customers do.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Alation

AUGUST 5, 2021

When collected data fails to meet the company expectations of accuracy, validity, completeness, and consistency, it can have massive negative impacts on customer service, employee productivity, and key strategies. Completeness is defined as a measure of the percentage of data that is missing within a dataset.

Data Quality 52

Data Quality IT Data Governance Sales 52