O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. You might have millions of short videos , with user ratings and limited metadata about the creators or content. Models within AI products change the same world they try to predict.

Management 332

Management Machine Learning Experimentation Metrics 332

Rocket-Powered Data Science

JULY 19, 2023

For example, an exploration of historical data may reveal that an increase in customer satisfaction (or dissatisfaction) with one particular product is correlated with some other satisfaction (or dissatisfaction) metric downstream at a later date.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

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

Alation

OCTOBER 26, 2021

The glossary includes the definition of the metric and can point to the specific table containing the formula from which it is calculated. Data governance: Alation allows finance teams to easily identify business metric owners and connect these experts to the underlying data they know best, which supports better governance.

Finance 52

Finance Data Transformation Enterprise Metrics 52

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Moreover, advanced metrics like Percentage Regional Sales Growth can provide nuanced insights into business performance. One of the primary sources of tension?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Domino Data Lab

JUNE 2, 2019

Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty. Then calculate the variance divided by the mean to construct a metric for noise in decision-making. For kicks, try calculating this kind of metric within your own organization. Worse than flipping a coin!

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Domino Data Lab

JULY 22, 2019

You know, typically, when you think about running projects, running teams, in terms of setting the priorities for projects, in terms of describing, what are the key metrics for success for a project, that usually falls on product management. They learned about a lot of process that requires that you get rid of uncertainty.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109