Smart Data Collective

MARCH 2, 2023

In 2023, big data Is no longer a luxury. One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology. Companies which require immediate business funding are using data analytics tools to research and better understand their options.

Big Data 81

Big Data Uncertainty Risk Data mining 81

Jet Global

OCTOBER 8, 2020

Invariably, these activities have seen added stress in 2020. Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context.

Finance 98

Finance Reporting Forecasting Metrics 98

Andrew White

APRIL 22, 2020

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. But as we look out from April 2020, which organizations will be ready for this third phase, and which will not be, is not clear. Data, analytics and AI.

Software 52

Software Uncertainty Measurement Marketing 52

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. Their head is like can we augment data from other data sources that can give us a glimpse into the future. These are strange times.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

CIO Business Intelligence

JUNE 22, 2022

Oxford Economics, a leader in global forecasting and quantitative analysis, teamed up with Huawei to develop a new approach to measuring the impact of digital technology on economic performance. Total spending over the period 2020–23 will amount to some US$1.2

Digital Transformation 105

Digital Transformation Internet of Things Manufacturing Unstructured Data 105

Domino Data Lab

JUNE 2, 2019

She had much to say to leaders of data science teams, coming from perspectives of data engineering at scale. And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. See you at Rev 3 in 2020! Rev 2 wrap up.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Sisense

DECEMBER 13, 2021

Luckily, there are intelligent and scalable ways institutions can access and make sense of their data, allowing them to spot trends and extract insights that drive innovation and inspire creative solutions. Forecasting consumer trends. What is business intelligence? Where are they spending their money, when, and how often?

Data-driven 59

Data-driven IT Business Intelligence Cost-Benefit 59