The Ministry of Railways’ information technology (IT) backbone — the Centre for Railway Information Systems (CRIS) — has ...

It doesn’t sit in a glass-walled server room or require teams of data scientists on payroll. Yet, AaaS is becoming the ...

Healthcare Data Analytics is transforming the medical world by turning raw health information into actionable insights. From personalized treatments and early diagnoses to hospital efficiency and ...

Ogletree Deakins’ T. Scott Kelly discusses the strategy of the firm’s workforce analytics and compliance practice group, the evolving employment regulation landscape, and leveraging analytics ...

To make analytics a competitive differentiator, we must move from descriptive insights to predictive foresight — and ultimately to prescriptive action.

What Are the 4 Types of Business Analytics? Business analytics is categorized into four main types, each designed to help organizations understand and use their data effectively. According to Stephens ...

The 4 Pillars of Core Data Analytics At the core of this data revolution lie the four fundamental pillars of modern data analytics: Descriptive, Diagnostic, Predictive, and Prescriptive Analytics.

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques to do so.

This is where prescriptive analytics comes into play. Building on the foundations of descriptive and predictive analytics, prescriptive analytics provides real-time recommendations to brands.

We’ve changed the paradigm of analytics, not just from diagnostic and descriptive, but now looking at predictive and prescriptive analytics, bringing in AI, AutoML, augmenting the way people ask ...