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4 Advanced Analytics Techniques to Improve Decision-Making
In today’s data-driven business landscape, organizations are constantly pressured to make faster, more informed decisions that drive better outcomes. According to Forbes, 53% of companies use big data analytics to take inform business decisions. An HBR study points out that companies that use data-driven decision-making are 6% more profitable than those that don’t. However, with […]
Read MoreA Primer on Feature Engineering
Feature engineering is the process of selecting, interpreting, and transforming structured or unstructured raw data into attributes (features) that can be used to build effective machine learning models which more accurately represent the problem at hand. In this context, a “feature” refers to any quantifiable unique input that may be used in a predictive model, […]
Read MoreAdvanced Analytics: Techniques, Examples, and Benefits
Data is the most important asset for any modern organization, backing most business-critical decisions today. However, fully capturing the potential of the company’s data sources, so that they start yielding impactful business insights, is not a straightforward task and the traditional BI and analytics stack is just not at the level to handle the complex […]
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