Descriptive Analytics Explained

Descriptive analytics is the lowest form of data analytics on the spectrum.

The core of descriptive analytics is answering "WHAT HAPPENED?"

With this method of data analysis, you summarize past data and identify trends to better understand the data. Descriptive analytics is used to better understand what happened in the past, so businesses can make data-driven decisions in the present. At their core, data analytics and business analytics start with capturing what happened in the past.

Descriptive analytics is a powerful tool for data mining and data transformation, allowing for detailed insights into customer behavior and preferences. You're using data to understand your customers.

Utilizing descriptive analytics helps businesses to identify patterns, correlations, and trends in large datasets, allowing for more accurate predictions and forecasting. Segmenting your data different ways helps you develop more targeted actions which improve your overall results.

For every sized business, descriptive analytics is a valuable resource for optimizing website content and search engine rankings, as it provides data-driven insights into customer interests and behaviors.

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