Data Analytics Forecasting People Analytics 
bridgei2i
APRIL 28, 2020
One real challenge that we’re seeing is the focus on forecasting. Let’s talk about forecasting for a moment. Everybody’s very concerned about forecasting. Most companies will forecast their business based on trends. Are they going to look at, you know, maybe new business models using data?
Cloudera
DECEMBER 20, 2022
This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model. If you are interested in chatting about how to manage the full data lifecycle with CDP, let your account team know or contact us directly.
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CIO Business Intelligence
DECEMBER 1, 2022
To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics.
AWS Big Data
MAY 31, 2023
In this post, we discuss how we use QuickSight to deliver powerful HR analytics to over 3,000 customers and 43,000 users while forecasting savings of 84% year-over-year as compared to our legacy reporting solutions. QuickSight allowed us to meet our customers’ needs quickly and played a key role in our overall analytics strategy.
bridgei2i
JULY 8, 2020
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. Number one, most of them, that I speak to want to manage their supply chains better. His past experience has been with Manthan, HP, and Pepsi Co.
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