Data analytics is all about scrutinizing raw data to find patterns, insights, and inform decision-making. It’s all about gathering, structuring, and processing data through different techniques and tools to enable the understanding of trends, relationships, and anomalies. The aim is to transform data into usable knowledge that can drive better business strategies, operations, or fix certain issues.
Simply put, data analytics aids in answering questions such as:
What did it happen? (Descriptive analytics)
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Why did it occur? (Diagnostic analytics)
What will probably happen next? (Predictive analytics)
What do we need to do about it? (Prescriptive analytics)
It’s applied across numerous sectors — from commerce and medicine to sporting and social sciences — wherever data are available and decisions must be based on evidence, not speculation.
Would you prefer that I describe some of the standard tools or techniques of data analytics?
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