Analytics Digital Transformation Predictive Analytics Prescriptive Analytics 
Rocket-Powered Data Science
MARCH 19, 2021
The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. But more significant has been the acceleration in the number of dynamic, real-time data sources and corresponding dynamic, real-time analytics applications. Well, that statement was made five years ago!
CIO Business Intelligence
JUNE 7, 2022
What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?
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Jedox
JANUARY 29, 2019
In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).
CIO Business Intelligence
FEBRUARY 16, 2023
The next goal, with the aid of partner Findability Sciences, will be to build out ML and AI pipelines into an information delivery layer that can support predictive and prescriptive analytics. “As That is the domain of AI and advanced analytics that serve a role beyond just insight and business optimization.
IBM Big Data Hub
JULY 27, 2022
Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following: Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications and performance-monitoring tools. Predictive analytics to show what will happen next.
Jedox
JULY 31, 2018
Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.
Sisense
SEPTEMBER 12, 2019
And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Our go-to approach for analytics that feeds well into a BI strategy is the Evolution of Analytics chart (below). With that being said, it’s not enough to just have a tool. Find a bottleneck in R&D?
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