DataKitchen

AUGUST 24, 2023

We had the same problem starting in 2005 when we left software development and started to lead data teams. Five Pillars of Data Journeys Data Journey First DataOps The Terms and Conditions of a Data Contract are Data Tests “You Complete Me,” said Data Lineage to Data Journeys.

Data-driven 130

Data-driven Forecasting Metrics Dashboards 130

Smart Data Collective

JUNE 16, 2022

Google Analytics wasn’t launched until 2005. If you are trying to create a great website, then you have to leverage analytics tools to improve the quality of your site by assessing the right metrics. Test different value propositions. You will also want to use analytics technology to test different visual creatives.

Analytics 98

Analytics Testing Visualization Analytics Technologies 98

AWS Big Data

OCTOBER 11, 2023

Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue. We use two datasets in this post.

Management 101

Management Metadata Analytics Dashboards 101

Domino Data Lab

JULY 1, 2021

from keras import optimizers from keras.models import Model from keras.models import Input from keras_contrib.layers import CRF from keras_contrib import losses from keras_contrib import metrics. Number of sentences in the training dataset: 43163 Number of sentences in the test dataset : 4796. Evaluation and testing. verbose=2).

Modeling 111

Modeling Statistics Testing Metrics 111

The Unofficial Google Data Science Blog

JULY 18, 2023

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. We will follow the example of Janson and Olsson , and start from this generalized definition of the metric, which they call iota.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

APRIL 25, 2011

" I'd postulated this rule in 2005, it is even more true in 2011. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views. Use metrics that matter: Loyalty, Recency , Net Profit, Conversation Rate, Message Amplification , Brand Evangelist Index , Customer Lifetime Value and so on and so forth.

Marketing 126

Marketing Measurement Metrics Testing 126

Cloudera

MAY 18, 2021

Value-at-Risk (VaR) is a widely used metric in risk management. It helps identify risk exposures, informs pre-trade decisions, and is reported to regulators for stress testing. ABM generated synthetic data can be useful in situations where historical data is insufficient or unavailable. Intraday VaR. Citations. [1]

Risk 95

Risk Marketing Risk Management Data-driven 95