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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What are the four types of data analytics? More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI).

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

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.

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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

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. Now that we have described predictive and prescriptive analytics in detail, what is there left?

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

Pillar #3: Analytics and reporting This pillar represents the most traditional aspect of data management, encompassing both descriptive and diagnostic analytics capabilities. The introduction of generative AI (genAI) and the rise of natural language data analytics will exacerbate this problem.