Data Analytics

The process of analyzing data to extract meaningful patterns, trends, and insights.

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Invest 20 minutes a day

Data Analytics involves examining data to identify significant patterns, trends, and insights. This process uses various techniques to analyze data and derive actionable conclusions. Effective data analytics supports data-driven decision-making and enhances understanding of business or research phenomena.

Domains in this track

Diagnostic Analytics

Operational Analytics

Big Data Analytics

Business Intelligence Tools

Data Mining

The process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database system

Predictive Analytics and Modeling

Anomaly Detection

Data Analysis

Related Resources Show Summaries

Data Analytics

Prediction: The future of CX

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David J. Malfara, Jr., Kevin Neher, Maxence Vancauwenberghe, Mike Thompson, Rachel Diebner

Feb 24, 2021 • 17 min read

Descriptive Analytics

Descriptive Analytics involves examining historical data to understand past events and outcomes. This type of analysis provides insights into what has happened by summarizing and interpreting past data. Effective descriptive analytics helps organizations learn from past performance and inform future decisions.

Prescriptive Analytics

Prescriptive Analytics involves using data to recommend actions that can influence future outcomes. This approach leverages data-driven insights to suggest optimal strategies or decisions. Effective prescriptive analytics helps organizations make proactive choices that enhance performance and achieve desired results.

Statistical Analysis

Statistical Analysis involves applying statistical methods to interpret data and draw conclusions. This process includes techniques for summarizing data, testing hypotheses, and making inferences. Effective statistical analysis provides a solid foundation for understanding data patterns and making evidence-based decisions.