CIO Business Intelligence

MAY 4, 2022

He says organizations are looking to automate, streamline operations, and reduce costs to help deal with an unsettled labor market, worker shortages, inflation, and geopolitical uncertainty. Those tech investments in turn enable them to redeploy their scarce (and increasingly more costly) workers to higher-value tasks. 13, respectively.

IT 135

IT Business Driver Reporting Uncertainty 135

Jet Global

OCTOBER 21, 2020

Instead, many internal and external inputs to the planning cycle are automated, enabling finance teams to concentrate on scenario modelling rather than data reconciliation. During periods of uncertainty, this helps us plan for – and be ready to respond to – different outcomes. A new world of data possibilities.

Forecasting 98

Forecasting Finance Business Driver Key Performance Indicator 98

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113