Business Analytics Business Intelligence Data Analytics Document 
Smart Data Collective
NOVEMBER 25, 2019
More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. These new avenues of data discovery will give business intelligence analysts more data sources than ever before.
datapine
APRIL 15, 2020
When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. Therefore, we will walk you through this beginner’s guide on agile business intelligence and analytics to help you understand how they work and the methodology behind them.
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CIO Business Intelligence
OCTOBER 6, 2023
What is a business analyst? Business analysts (BAs) are responsible for bridging the gap between IT and the business using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders.
Smarten
NOVEMBER 8, 2022
It is also suitable for those that wish to find out more about the Citizen Data Scientist approach to Data Literacy and fact-based decision-making. It provides an individual study environment that includes video, slides, lectures and supporting documentation for further study and reference. About Smarten.
FineReport
JULY 6, 2022
With the advancement of digitization, various business intelligence tools have gradually emerged. Some BI tools are devoted to helping companies’ data analysis and business information management, gradually becoming the leaders of the BI market. It is devoted to transforming data into value. From FineReport.
IBM Big Data Hub
DECEMBER 16, 2022
Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise.
Sisense
FEBRUARY 1, 2021
As we clarify the functional distinction between the two types of frameworks and summarize the rationale for choosing one or the other, an exciting new event in the evolution of product life cycle management emerges: The application of machine-learning-based (ML) analytics is sharpening PLM frameworks. The analytics edge in PLM functionality.
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