Occam's Razor

SEPTEMBER 13, 2016

Bonus #2: The Askers-Pukers Business Model. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Take this as an example… How do you know that this is a profoundly sub-optimal collection of choices to provide? Ok, maybe statistical modeling smells like an analytical skill.

Modeling 127

Modeling Reporting Strategy Consulting 127

Domino Data Lab

SEPTEMBER 25, 2019

One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). These models are well represented in R and are fairly easy to work with. AR models can be thought of as linear regressions of the current value of the time series against previous values.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Let's listen in as Alistair discusses the lean analytics model… The Lean Analytics Cycle is a simple, four-step process that shows you how to improve a part of your business. But it is not routine.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

AWS Big Data

APRIL 5, 2023

The serverless model was also compelling because we did not have to pay for server instances nor license fees per reader. We went through user research, development, and beta tests in a span of 6 months, which was a fast turnaround and a big win for us,” says Minnaert. With QuickSight, we pay for usage.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. As an analyst, I was upset that this change would hurt my ability to analyze the effectiveness of my beloved search engine optimization (SEO) efforts – which are really all about finding the right users using optimal content strategies.

Optimization 154

Optimization Reporting Experimentation Metrics 154

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Occam's Razor

APRIL 25, 2011

This latter category contains things that are so obviously sub-optimal that no one should be doing them any more. The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. Yet there they are. Life is a lot more complex (and sexy!).

Marketing 126

Marketing Measurement Metrics Testing 126

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. In addition to the issues above, does the conclusion pass the smell test?

Experimentation 61

Experimentation Testing Statistics Metrics 61

Domino Data Lab

MARCH 3, 2019

What’s been the impact of using ML models on culture and organization? Who builds their models? We also used maturity , in other words how long had an enterprise organization been deploying ML models in production? “Three surveys of AI adoption reveal key advice from more mature practices”. Or something. Technologies.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Occam's Razor

FEBRUARY 22, 2010

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? The secret to making optimal use of CI data lies in one single realization: You must ensure you understand how the data you are analyzing is collected. The panel methodology is based on the traditional television data capture model.

Metrics 123

Metrics Advertising Reporting Software 123

CIO Business Intelligence

JUNE 1, 2023

Here are a few outcomes from HPC’s groundbreaking capabilities: HPC modeling and simulation help engineers test jet engines without destroying a single $10-40 million jet engine. For one company, Cloud for HPC reduced deployment time by 95% in designing and testing new engineering pumps, drill heads, and regulators.

ROI 92

ROI Cost-Benefit Machine Learning Testing 92