Speakers at the Corporate Legal Operations Consortium (CLOC) Conference will try to educate legal departments about using metrics to understand and meet future challenges. Prescriptive modeling—the ...

Leveraging big data into actionable metrics is not only becoming necessary for understanding the legal climate and ensuring regulatory compliance, but also for evaluating whether a legal department is ...

This project performs an end-to-end Financial Statement Analysis of a company’s performance using Microsoft Excel. It converts raw financial data into meaningful insights through data cleaning, ratio ...

Businesses rely on data to make informed decisions, improve efficiency, and maximize profits. Two major techniques used in data-driven decision-making are predictive analytics vs. prescriptive ...

Predictive analytics is great. But prescriptive modeling is next-level. This guide by Erdoğan Taşkesen, PhD does what few tutorials manage: ️ Hands-on Bayesian modeling ️ Structure learning ️ ...

Abstract: In this paper, we present two paradigm of modeling of IoT application development, namely prescriptive modeling and its support to develop IoT applications and descriptive modeling of ...

\cf0 A proper discussion of shape prescriptive curve fitting must begin with what it is not. To do that, I must first discuss curve fitting in general. Why do we, as scientists and engineers, fit a ...

Prescriptive analytics is the practice of using data and analytics to identify and prescribe actions that can improve an organization’s performance. It is a field of data science that deals with ...

This ebook, based on the latest ZDNet / TechRepublic special feature, explores how you set up an analytics infrastructure that sees around corners and gives you options to avoid a head-on crash. Read ...

Abstract: Although 3D printing or additive manufacturing (AM) holds great promise as a direct manufacturing technology, the geometric accuracy of AM built products remains a critical issue, especially ...