Jedox

OCTOBER 8, 2020

We are currently operating in an environment with a very high (if not the highest ever) level of VUCA, (Volatility, Uncertainty, Complexity, Ambiguity). The way you mitigate uncertainty is with planning, planning, and more planning. To quote General/President Dwight D.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

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 42

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 42

bridgei2i

JULY 8, 2020

This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. In the short run, this means they have to get their demand forecast right. Now, how do you use signals from a pre-COVID world to predict a post-COVID demand scenario? These are strange times. And all at the same time.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Jet Global

NOVEMBER 8, 2021

Naturally, finance teams play a lead role in planning and budgeting, setting meaningful targets for the organization, and in forecasting likely outcomes based on current conditions. We deliver comprehensive reporting, business intelligence, planning and budgeting, and predictive analytics tools aimed at finance users.

Finance 52

Finance Predictive Analytics Reporting Uncertainty 52

Smart Data Collective

FEBRUARY 14, 2023

One of the biggest is that more financial institutions are using predictive analytics tools to assist with asset management. Predictive Asset Analytics, Riskalyze and Altruist are some of the tools that use predictive analytics to improve asset management for both individual and institutional investors.

Predictive Analytics 107

Predictive Analytics Management Analytics Risk 107

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

Smarten

JULY 18, 2022

By incorporating analytics into day-to-day activities and allowing access for business users, the business can encourage the transition from business user to Citizen Data Scientist and create a comprehensive system of analytics with governance and collaboration to ensure security, appropriate access, mobile use and fact-based decision-making.

Uncertainty 52

Uncertainty Predictive Analytics Forecasting Analytics 52

Jet Global

NOVEMBER 7, 2023

If any one word could encapsulate 2023, it would be “uncertainty.” The need for greater efficiency and more accurate forecasting led CFOs to re-evaluate the tools and processes on hand and their ability to overcome skills shortages and drive agility.

Finance 52

Finance Uncertainty Reporting Marketing 52