The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

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. Doing anything on the web without a Web Analytics Measurement Model. Bring a structured approach to your measurement strategy, bring some process, let a Web Analytics Measurement Model be the foundation of your program. The 10/90 rule.

Marketing 126

Marketing Measurement Metrics Testing 126

Occam's Razor

SEPTEMBER 24, 2012

A Facebook employee (FBe) gave a talk about measuring ROI/Value of Facebook campaigns. FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. Why is it so hard to measure the value of Facebook? How can we do better?

Advertising 165

Advertising ROI Metrics Marketing 165

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? The term “agile” was originally conceived in 2011 as a software development methodology. Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. Finalize testing.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. If you want to stress test this,… go back to your 2011 (pre- not provided ) data for paid and organic and see what you can find. Measure the impact (remember you can measure at a Search Engine and Organic/Paid level).

Optimization 154

Optimization Reporting Experimentation Metrics 154

Domino Data Lab

APRIL 3, 2019

Network security mushrooms with VPNs, IDS , gateways, various bump-in-the-wire solutions, SIMS tying all the anti-intrusion measures within the perimeter together, and so on. Fun fact: in 2011 Google bought remnants of what had previously been Motorola. credit cards). Data is on the move. Does machine learning change priorities?

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. days or weeks).

Advertising 42

Advertising Testing Sales Statistics 42

Edwin Chen

AUGUST 14, 2014

In an ideal world, we'd be able to run experiments – the gold standard for measuring causality – whenever we wish. How can we understand causal lifts in the absence of an A/B test? We measure Soylent's effect as the difference between each twin pair. In the real world, however, we can't. Propensity Modeling. a negative effect).

Modeling 75

Modeling Measurement Sales Testing 75

datapine

AUGUST 29, 2022

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself. is one of the greatest on the market.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

SEPTEMBER 25, 2019

We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system. For an illustration, we will make use of the World Bank API to download gross domestic product (GDP) for a number of countries from 1960 through 2011. Time series data is commonly encountered.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

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

Occam's Razor

NOVEMBER 2, 2015

Higher Order Bits: Human vs. Business, Success KPIs, S-T-D-C Framework, MoR Test. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). Success Metrics.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

AWS Big Data

APRIL 5, 2023

However, with 70 dashboards with over 1,000 visuals with varying levels of complexities, including proprietary logic unique to certain tools, and data from over 1,000 tables ingesting data from over 20 data sources, the team decided to take a measured approach to the migration.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52