Remove Customer Satisfaction Remove Data Mining Remove Machine Learning Remove Predictive Analytics
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The Future of Marketing: Automation and Predictive Analytics

SugarCRM

Marketing automation and predictive analytics are among those game-changers. The best part about automation, however, is that it has opened the door to predictive analytics in marketing. And by leveraging these insights, these organizations are able to make data-driven decisions that inform their marketing strategies.

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Mastering Sales ROI in Manufacturing: Navigating Through a Sea of Data with Strategic Analytics and Reporting

SugarCRM

It can also help manufacturers: Assess risks Find trends Predict outcomes Evaluate customer satisfaction Enhance the decision-making process Types of Data Analytics There are various types of data analytics, each serving a different purpose. Below are some of the main types of data analytics.

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Data-Driven Decision Making: The Differentiator

Helpt

It's the foundation of data analysis, involving the use of key performance indicators (KPIs) and other metrics. Diagnostic Analytics : Moving a step further, diagnostic analytics seeks to understand why something happened. It involves more in-depth data mining and correlations.