O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

NOVEMBER 13, 2023

Transformational leaders must ensure their organizations have the expertise to integrate new technologies effectively and the follow-through to test and troubleshoot thoroughly before going live. This involves setting up metrics and KPIs and regularly reviewing them to identify areas for improvement.

Digital Transformation 140

Digital Transformation Cost-Benefit Experimentation Measurement 140

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

Experimentation 103

Experimentation Testing Optimization Measurement 103

IBM Big Data Hub

MAY 17, 2024

Organizations face increased pressure to move to the cloud in a world of real-time metrics, microservices and APIs, all of which benefit from the flexibility and scalability of cloud computing. Everything runs seamlessly and efficiently and all stakeholders are aware of the cloud’s potential to drive business objectives.

Modeling 97

Modeling Cost-Benefit Optimization Digital Transformation 97

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

Sisense

MAY 18, 2021

This illuminates a disconnect: Marketers understand data’s significance, but they don’t know how to use it to best serve their business objectives. However, as Deven states, avoiding data insights and going with your gut is like choosing all the wrong answers on a test despite your professor giving you the right ones.

Marketing 52

Marketing Data Analytics Analytics Metrics 52