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 119

Data Warehouse Dashboards Risk Management Risk 119

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

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

O'Reilly on Data

MAY 27, 2020

Using the new scores, Apgar and her colleagues proved that many infants who initially seemed lifeless could be revived, with success or failure in each case measured by the difference between an Apgar score at one minute after birth, and a second score taken at five minutes.

Risk 355

Risk Testing Measurement Reporting 355

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. It’s not only about the data.

Testing 214

Testing Manufacturing Data Quality Statistics 214

John Wheeler

NOVEMBER 25, 2020

Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery. Offer capabilities to analyze business impacts at all levels of the organization by linking both strategic and tactical risk metrics.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

Alation

AUGUST 5, 2021

This poor-quality data governance can result in confusion for customers that have multiple interactions with each department over time. Completeness is defined as a measure of the percentage of data that is missing within a dataset. Timeliness measures how up-to-date or antiquated the data is at any given moment.

Data Quality 52

Data Quality IT Data Governance Sales 52