Business Driver Modeling Uncertainty 
CIO Business Intelligence
NOVEMBER 2, 2023
This model slows productivity, increases employee churn, and allows competitors to outpace us. This includes conveying to management, staff, and employees the “why” behind the effort and continuously reiterating the business drivers for the initiative. Communicating, communicating, communicating.
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.
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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.
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.
CIO Business Intelligence
APRIL 28, 2023
As it becomes a dominant IT operating model, critical data is finding its way into the cloud. Rising volumes of sensitive data in public cloud make sovereignty an imperative Organisations are starting to value strategic autonomy to ensure resilience amid growing geopolitical and economic uncertainties.
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