CIO Business Intelligence

NOVEMBER 14, 2022

A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. Forecasting models. Analytics, Data Science These models are used for “what-if” analysis.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Cloudera

MARCH 2, 2018

The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. Identify those most at risk or most affected by a problem more accurately by using predictive analytics.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Domino Data Lab

JUNE 2, 2019

Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty. More near-term, Kahneman suggested the use of pre-mortems – also called backcasting, as a contrapositive of forecasting. Rather, they were beaming about Kahneman’s work and its significance in our field.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110