Fall 2025 Decision, Risk & Operations Management B8117 section 001

Business Analytics III: Modern AI, Deep

Business Analytics III: A

Call Number 16166
Day, Time & Location View Class Schedule & Location in Vergil
Points 1.5
Grading Mode Standard
Approvals Required None
Instructor Charles R Guetta
Type LECTURE
Method of Instruction In-Person
Course Description

Business analytics refers to the ways in which enterprises such as businesses, non-profits, and
governments use data to gain insights and make better decisions. Business analytics is applied
in operations, marketing, finance, and strategic planning among other functions. Modern data
collection methods – arising in bioinformatics, mobile platforms, and previously unanalyzable
data like text and images – are leading an explosive growth in the volume of data available for
decision making. The ability to use data effectively to drive rapid, precise, and profitable
decisions has been a critical strategic advantage for companies as diverse as Walmart, Google,
Capital One, and Disney. Many startups are based on the application of AI & analytics to large
databases. With the increasing availability of broad and deep sources of information – so-called
“Big Data” – business analytics are becoming an even more critical capability for enterprises of
all types and all sizes.

Department Decision, Risk and Operations
Enrollment 146 students (150 max) as of 9:06PM Wednesday, May 20, 2026
Subject Decision, Risk & Operations Management
Number B8117
Section 001
Division School of Business
Open To Business, Journalism
Note Corequisite: Business Analytics II, Foundations of AI (or pr
Section key 20253DROM8117B001