CIO Business Intelligence

AUGUST 18, 2023

It is the product of nearly 20 years of research at the University of Tennessee, beginning with a deep-dive funded by the United States Air Force on outcome-based outsourcing in 2003. First, the model must balance risk and reward for both parties. There are two principles for establishing a pricing model.

Measurement 90

Measurement Modeling Risk Management 90

erwin

JUNE 7, 2022

I published my first book in 2003 showcasing how I used Ralph’s technique to create a large data warehouse in the Oracle database. Don’t obstruct the optimizer from seeing it’s a star schema. Many database optimizers recognize the star schema and have code to optimize their execution by orders of magnitude.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

bridgei2i

MAY 26, 2020

It is even more essential now that supply chains are empowered with a high standard of data and analytics sophistication to be able to cost-effectively serve the company’s purpose and combat risks at the same time. You know, Chief Risk Officers, for example, will no longer be confined to the credit industry. Anushruti: Perfect.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. It provides the occasion for deeper exploration of which inputs that can be influenced and which risks can be proactively managed. Our team does a lot of forecasting.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Andrew White

APRIL 22, 2020

Cost optimization and short-term value generating activity will be explored. Many highly leveraged firms will be at risk; debt will be at record levels in public and private so anyone who has cash will be predatory. And there is no time to consult with a specialist. This is not an option. But not all firms will get past phase 2.

Software 52

Software Uncertainty Measurement Marketing 52

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

These estimates can be useful to make risk-adjusted decisions and explore-exploit trade-offs, or to find situations where the underlying regression method is particularly good or bad. 3] Bradley Efron, "Robbins, Empirical Bayes, and Microarrays" , Technical Report, 2003. [4]

KDD 40

KDD Testing Machine Learning Modeling 40