Data Analytics Forecasting Modeling Uncertainty 
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.
Smart Data Collective
OCTOBER 6, 2023
Data analytics technology has helped retail companies optimize their business models in a number of ways. One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. It is easier to do so with the use of data derived from predictive analytics.
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CIO Business Intelligence
SEPTEMBER 22, 2022
Seeing that remote working continues to be a pressing issue still finding its footing after nearly three years in beta testing, the work surrounding feasible solutions seems to compound as time goes on, with some intending a full return to office while others have forged the company future on remote models.
erwin
AUGUST 13, 2020
Compliance and Legislation : How do we manage uncertainty around legislative change (e.g., data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g., big data, analytics and insights)?
Cloudera
MARCH 2, 2018
If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.
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.
Domino Data Lab
JUNE 2, 2019
If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”. We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively.
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