Descriptive Analytics Diagnostic Analytics Risk Technology 
Rocket-Powered Data Science
OCTOBER 6, 2023
There are other dimensions of analytics that tend to focus on hindsight for business reporting and causal analysis – these are descriptive and diagnostic analytics, respectively, which are primarily reactive applications, mostly explanatory and investigatory, not necessarily actionable. Pay attention!
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.
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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.
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.
Jet Global
MAY 1, 2023
BI is a set of independent systems (technologies, processes, people, etc.) And Manufacturing and Technology, both 11.6 The Hitchhiker’s Guide to Embedded Analytics Download Now Section 2: Embedded Analytics: No Longer a Want but a Need Find out how major shifts in technology are driving the need for embedded analytics.
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