Crunch Time VI: Forecasting in a digital world
Finance in a digital world: It’s crunch time for CFOs
A series on digital transformation in Finance
Traditionally, forecasting has been a mostly manual process with people gathering, compiling, and manipulating data, often within spreadsheets. There’s another way. Organisations are shifting to forecasting processes that involve people working symbiotically with data-fueled, predictive algorithms.
This guide shares the basics of algorithmic forecasting and how it changes forecasting processes, the workforce, and decision making. Find out how organisations are using algorithmic forecasting to create more accurate and timely predictions - and the lessons they learned along the way.
Crunch time VI: Forecasting in a digital world
Crunch time 6: Forecasting in a digital world
Organisations are shifting to forecasting processes that involve people working symbiotically with data-fueled, predictive algorithms. It’s all made possible by new technologies - advanced analytics platforms, in-memory computing, and artificial intelligence (AI) tools, including machine learning.
Today, these technologies in the hands of expert forecasting talent give companies the ability to discover things they’ve always wanted to know - as well as things they didn’t know they didn’t know - with more confidence and speed.
