Remove Article Remove Descriptive Analytics Remove Predictive Modeling
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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

This article reflects some of what Ive learned. The hype around large language models (LLMs) is undeniable. Even basic predictive modeling can be done with lightweight machine learning in Python or R. This article was made possible by our partnership with the IASA Chief Architect Forum.

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What Is The Difference Between Business Intelligence And Analytics?

datapine

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Try our professional BI and analytics software for 14 days free! What Do The Experts Say?

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was. Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses. Let’s look at our first use case.

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What Is Embedded Analytics?

Jet Global

Predictive, the Up but Not Coming Over time, analytics grow and level up. Leading research and consultancy company, Gartner describes the path that businesses take as they move to higher levels: Descriptive Analytics: Describe what happened (e.g., Diagnostic Analytics: No longer just describing.