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Descriptive analytics is the process of analyzing data to find trends and patterns that support decision-making, monitoring, and other initiatives. It's the most fundamental building block of data ...
When it comes to customer experience, data analytics can be broken down into three key areas: descriptive analytics, prescriptive analytics and predictive analytics.
Could data analytics be poised for a new change? Prescriptive analytics is here to shake up what we know about data and AI.
Predictive: A Data-driven organization goes through a maturity ladder in its analytics journey. It is important to know which type of analytics will help in what form.
These data analysis methods build on each other like tiers of a wedding cake. Descriptive Data Analysis Descriptive statistics tell you what is in the data you’ve gathered.
With Advanced Data Analysis, you can ask in plain language. Beyond simple descriptive statistics, Advanced Data Analysis is capable of running statistical tests.
Columnist David Fothergill provides a handy primer on statistical principles that can help make your sense of and glean insights from your marketing data.
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