CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. Follow a value-focused strategy.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. It is also a sound strategy when experimenting with several parameters at the same time. And sometimes even if it is not[1].)

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Occam's Razor

SEPTEMBER 13, 2016

I've added new insights, recommendations, and two bonus lessons on how to do surveys better and a direct challenge to your company's current analytics strategy. Bonus #1: Lessons from Econsultancy/Lynchpin Survey Strategy. Hypothesis development and design of experimentation. I promise, I won't mind one bit.

Modeling 127

Modeling Reporting Strategy Consulting 127

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics. and an error term ??

Statistics 27

Statistics Uncertainty Risk Marketing 27