Occam's Razor

JULY 22, 2013

Most of the frameworks we have also don't optimally capture the complexity of digital marketing and measurement. We (oh how I hate this) apply irrational and "narrow-view" measurement strategies toward understanding what is successful and what's not. Then there is Agile for engineering.

Measurement 163

Measurement Marketing Key Performance Indicator Metrics 163

Occam's Razor

SEPTEMBER 15, 2014

Company UX leaders are happy to stink less by taking the sub-optimal path of responsive design, rather than create a mobile-unique experience (your customers tend to do different things on your desktop site than your mobile site!). Create a distinct mobile website and mobile app measurement strategies.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

JANUARY 31, 2017

There is only one simple message above, and just two metrics that matter. It also forces a lot less think than might be optimal. Everything seems sub-optimal. Yes, text can be optimized. It can be any of the numerous brand metrics avilable to us. It should have just focused on those two. Interesting trend.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

IBM Big Data Hub

FEBRUARY 2, 2024

They’re implementing measures to reduce energy usage and adopting renewable energy alternatives where possible to aid efforts against global warming. It often entails efforts like fair trade practices, investing in local economies, ensuring safe working conditions and adherence to ESG (Environmental, Social, and Governance) metrics.

Optimization 86

Optimization Cost-Benefit Strategy Technology 86

Occam's Razor

JANUARY 9, 2012

Most companies are astonishingly blasé about data and possibilities of measurement. " Sad, unimaginative measurements of their sad, unimaginative campaigns. All while constantly optimizing your portfolio via controlled experiments. I told 20 people that Nikon's site is slow and profoundly sub-optimal on mobile.

Marketing 140

Marketing B2B Measurement Risk 140

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve comparison of the exposed and unexposed groups would produce an overly optimistic measurement of the effect of the ad, since the exposed group has a higher baseline likelihood of purchasing a pickup truck. It should be noted that inverse probability weighting is not generally optimal (i.e., the curse of dimensionality).

Statistics 44

Statistics Optimization Modeling Experimentation 44

Occam's Razor

DECEMBER 3, 2012

We like to believe that all there is to digital marketing is to do some search engine optimization, send out an email blast every once in a while, get our agency to create a flash-heavy "brand experience" website, or slap together a mobile app in the corporate-approved shade of eggshell white. So what do you have?

Marketing 147

Marketing Advertising Strategy Optimization 147

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. To create the vector index, you must define the vector field name, dimensions, and the distance metric.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. They can all help you at any time depending not the context.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Insight

JUNE 10, 2019

Photo by Wayne Chan on Unsplash The race to the future I don’t know about you, but I distinctly remember a promise from 1989 that flying cars would be commonplace by 2015. It can be quantitatively defined as: We can then combine these useful metrics with a confusion matrix to provide a powerful summary of the performance of the model.

Breakeven 69

Breakeven Modeling Testing Marketing 69

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. The optimiser is set to Adam (Kingma and Ba, 2015) with a learning rate of 0.001. import pickle import operator. 0.] [1.

Modeling 111

Modeling Statistics Testing Metrics 111

datapine

SEPTEMBER 4, 2023

For example, the average price of a Big Mac in the Euro area in July 2015 was $4.05 Simple, striking, effective, and informational, this is certainly among the prime data visual examples in existence, and its message is as engaging as it is informational, offering key insights into optimizing our daily routines for enhanced success.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

Domino Data Lab

FEBRUARY 4, 2019

The ability to measure results (risk-reducing evidence). After about 2015, the firm followed the herd by introducing yet more sophisticated machine learning techniques; however, since the data science team was already swamped with reporting requirements, they introduced a new team of machine learning engineers. Friction ensued.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. 2015) for additional details. See Wei et al. Bahdanau, D.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Cloudera

JUNE 16, 2022

Use cases like fraud detection, network threat analysis, manufacturing intelligence, commerce optimization, real-time offers, instantaneous loan approvals, and more are now possible by moving the data processing components up the stream to address these real-time needs. . Convergence of batch and streaming made easy.

Data Lake 90

Data Lake Manufacturing Metadata Dashboards 90

Occam's Razor

FEBRUARY 9, 2015

. + Traffic Trends Key Metrics Analysis. Onsite Behavior Key Metrics Analysis. I tend to use Hitwise a lot less, or not at all, because it is a very hard to use, it is slow, the UX/UI, metrics and reports have not really evolved over the years. Traffic Trends Key Metrics Analysis. It is 2015.

Metrics 155

Metrics Reporting IT Advertising 155