Diagnostic Analytics Forecasting Risk Technology 
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.
FineReport
MARCH 24, 2024
Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.
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BizAcuity
MARCH 31, 2022
The widespread adoption of AI technology is fueled by 3 major challenges that businesses have been facing since the last decade. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: Artificial Intelligence Analytics. AI for Business. Uncertain economic conditions.
Rocket-Powered Data Science
OCTOBER 6, 2023
Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. These may not be high-risk discoveries, but they could be high-reward discoveries. ” “91.9%
Jet Global
MAY 1, 2023
BI is a set of independent systems (technologies, processes, people, etc.) In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. It’s all about context.
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