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

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. PDPs for the bicycle count prediction model (Molnar, 2009). This trust must be paramount when human lives are at stake.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Juice Analytics

DECEMBER 17, 2018

Its never one metric and a leaderboard lets you compare across multiple metrics. Each entity is represented as a flower and every metric is represented by a petal. Its not just a horizontal bar chart, but an interactive way to see a top ranking as well as a way to explore a long list. Key Metric. Ranked List.

Visualization 53

Visualization Metrics Interactive Dashboards 53

Smart Data Collective

APRIL 5, 2019

The majority of consumers who have good interaction with a brand on social networks are more likely to recommend that brand to others. For example, it hones in on metrics in social media like retweets, engagement rates, mention, and story completions. The Complex Role Between Big Data and Social Listening Tools.

Big Data 79

Big Data Interactive Data-driven Metrics 79

John Wheeler

NOVEMBER 25, 2020

Offer capabilities to analyze business impacts at all levels of the organization by linking both strategic and tactical risk metrics. In addition, 73% of the 760 IRM client interactions in 2019 were business leader focused1. In 2019, Gartner saw a 36% increase in IRM client inquiry by business leaders.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

Peter James Thomas

AUGUST 12, 2018

Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics. Again see Using BI to drive improvements in data quality for further details. Some of these are based on the data available.

Metrics 49

Metrics Statistics Data Quality Measurement 49

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. The drawback of GAMs is that they do not allow feature interactions.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108