Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. Data analysts can help build ...

True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells you which 9,990 to ignore.

“Predictive modeling uses regression analysis to project forward and try to predict future health events,” says Dr. Orr. When using predictive modeling, “the quality of data and the size of the data ...

The efficient management of hospital resources, particularly in terms of bed utilisation and staff allocation, is increasingly critical in modern healthcare systems. Predictive modelling for hospital ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore ...

The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...

Auto dealers today are under constant pressure to operate more efficiently, forecast more accurately, and make faster, data-driven decisions. From inventory management to customer engagement, ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

Subsurface reservoir engineering has become increasingly pivotal as the world intensifies its focus on sustainable energy systems and effective resource ...