CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As That, in turn, led to a slew of manual processes to make descriptive analysis of the test results. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

Smart Data Collective

SEPTEMBER 7, 2021

Data-based insights can help make the right decisions, keep up with market trends and navigate the uncertainty. Retailers can conduct A/B testing to find out which prices work the best. This global coffee brand has increased its revenue by 26% from 2016 to 2019. Big data is a not new concept, and it has been around for a while.

Big Data 124

Big Data Technology Cost-Benefit Predictive Analytics 124

Cloudera

MAY 15, 2018

Derman (2016), Cesa (2017) & Bouchard (2018)). Blog Post, Nov-2016. Probability, Uncertainty and Quantitative Risk (2017) 2:6. These examples are well covered by many others (e.g., A Stylized History of Quantitative Finance”. Jean-Phillipe Bouchard, J. Connier & M. Mauro Cesa. “A Additional resources.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Data Science and Beyond

JULY 28, 2017

As I haven’t heard anything from Automattic at that stage, it seemed unwise to reject a good offer, so I started working full-time with Car Next Door in January 2016. I finally heard back from Automattic in February 2016 (four months after my initial application and a month into my employment with Car Next Door).

Data Science 81

Data Science Testing Measurement Uncertainty 81

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. In this section we’ll discuss how we approach these two kinds of uncertainty with QCQP.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Jet Global

MAY 18, 2020

In the last few months, this level of thinking has been tested more than ever before. And that’s the last thing you want during in periods of uncertainty where things are changing on a daily basis. Furthermore, a 20 18 McKinsey survey said that the number of functions reporting to CFOs has risen from four to six since 2016.

Finance 64

Finance Reporting Uncertainty Testing 64

O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions. Image Source: Wikimedia Commons.

Statistics 27

Statistics Uncertainty Risk Marketing 27