CIO Business Intelligence
JUNE 7, 2022
The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.
CIO Business Intelligence
JULY 5, 2022
Business analytics and business intelligence (BI) serve similar purposes and are often used as interchangeable terms, but BI can be considered a subset of business analytics. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward. Business analytics techniques.
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IBM Big Data Hub
SEPTEMBER 19, 2023
Descriptive analytics: Descriptive analytics evaluates the quantities and qualities of a dataset. A content streaming provider will often use descriptive analytics to understand how many subscribers it has lost or gained over a given period and what content is being watched.
Birst BI
OCTOBER 30, 2018
Instead of transacting business with only a paper record, enterprise applications recorded transactions in a computer database. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.
FineReport
APRIL 26, 2023
In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. Why do Enterprises Need Big Data Tools? What is Big Data? What is Big Data?
FineReport
MARCH 24, 2024
Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.
Sisense
SEPTEMBER 12, 2019
Originating with Gartner, this chart includes the analytic features needed for a full analytics strategy, and what our AI team believe to be the absolute future of analytics – Cognitive Analytics. . Some organizations empower its end users with interactive dashboards. A Centralized Approach. Go Big, go data.
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