The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

CIO Business Intelligence

JULY 7, 2023

ITIL Specialist High Velocity IT : In this module you’ll learn how to integrate methodologies such as agile and Lean with other technical skills, including cloud, automation, and automatic testing, to deliver rapid delivery of products and services.

Cost-Benefit 98

Cost-Benefit Strategy Management Uncertainty 98

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. Here, $X$ is a vector of tuning parameters that control the system's operating characteristics (e.g.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Jet Global

SEPTEMBER 10, 2020

Living through periods of rapid upheaval and uncertainty, like the recent pandemic, forces us to adapt quickly to new working practices. Imagine having real-time indicators consolidated across sales, marketing, operations, and HR—in addition to metrics on recent acquisitions and overall market trends.

Forecasting 52

Forecasting Finance Uncertainty Sales 52

O'Reilly on Data

OCTOBER 13, 2020

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. During testing and evaluation, application performance is important, but not critical to success. require not only disclosure, but also monitored testing. Debugging AI Products.

Management 244

Management Metrics Machine Learning Modeling 244

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Thriving amid uncertainty means staying flexible, he argues. . The coming months are a leadership test for CIOs, and it’s a pass/fail grade.”. Keep calm and lead on.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

Occam's Razor

JULY 12, 2010

Please click on the above image for a higher resolution version , including all the other metrics.]. I love the data you saw in the very first screenshot, and I absolutely love this… [Please click on the above image for a higher resolution version , including all the other metrics.]. Say it ain't so! :). Why is this cool?

Analytics 96

Analytics Measurement Metrics KPI 96

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

CIO Business Intelligence

MARCH 10, 2023

Because of this, the importance of code quality shows why project velocity is not a metric to be seen in isolation as it often is. Mitigate DX-killing red tape The business longs for metrics and insights into what’s happening in the dark interior of software creation. But too much intrusion into developer workflow is a real DX killer.

Software 122

Software Metrics Uncertainty Sales 122

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. A single model may also not shed light on the uncertainty range we actually face. For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

JUNE 23, 2019

Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

Jet Global

OCTOBER 21, 2020

During periods of uncertainty, this helps us plan for – and be ready to respond to – different outcomes. Communicate the key performance indicators: Identify the key metrics that senior management will use to monitor the business on a daily, weekly, and monthly basis. The past few months have shown the benefits of continuous planning.

Forecasting 98

Forecasting Finance Business Driver Key Performance Indicator 98

The Unofficial Google Data Science Blog

APRIL 19, 2021

To explain, let’s borrow a quote from Nate Silver’s The Signal and the Noise : One of the most important tests of a forecast — I would argue that it is the single most important one — is called calibration. Calibration and other considerations Calibration is a desirable property, but it is not the only important metric.

Modeling 122

Modeling IT Metrics Testing 122

CIO Business Intelligence

SEPTEMBER 27, 2022

Deploy the system: Prior to the final cutover, multiple activities have to be completed, including training of staff on the system, planning support to answer questions and resolve problems after the ERP is operational, testing the system, making the “Go live” decision in conjunction with the executive sponsor. Hidden costs of ERP.

Enterprise 120

Enterprise Cost-Benefit Manufacturing Software 120

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. This means it is possible to specify exactly in which geos an ad campaign will be served – and to observe the ad spend and the response metric at the geo level. They are non-overlapping geo-targetable regions.

Advertising 42

Advertising Testing Sales Statistics 42

Insight

FEBRUARY 19, 2020

I held out 20% of this as a test set and used the remainder for training and validation. Building Models to Predict Movie Profitability Here I use profitability as the metric of success for a film and define profitability as the return on investment (ROI). Scatterplot of the predicted ROI vs. the true ROI for the hold-out test set.

Risk 67

Risk ROI Modeling Metrics 67

The Unofficial Google Data Science Blog

APRIL 16, 2019

Such decisions involve an actual hypothesis test on specific metrics (e.g. Often, an established product will have an overall evaluation criterion (OEC) that incorporates trade-offs among important metrics and between short- and long-term success. The metrics to measure the impact of the change might not yet be established.

Experimentation 68

Experimentation Sales Metrics Measurement 68

datapine

SEPTEMBER 4, 2023

Your Chance: Want to test a powerful data visualization software? Your Chance: Want to test a powerful data visualization software? Not only is each flight color-coded by the airline, but this short movie-style visualization has transformed flight-based metrics into a piece of art that shows the path of each flight in action.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

The beliefs of this community are always evolving, and the process of thoughtfully generating, testing, refuting and accepting ideas looks a lot like Science. Note also that this account does not involve ambiguity due to statistical uncertainty. the power grid, a streaming music service, the human body, the weather).

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45