Turn free-text columns into strategic, dashboard-ready insights — without writing a single line of code.
A lot of the most valuable business signals never make it into dashboards — because they live inside free-text columns that traditional BI tools simply can’t read. These columns exist across every industry and every department:
OAC’s AI Functions are built directly into the workbook expression editor — right alongside
SUM() and
RANK().
Write a prompt in plain English, point it at any text column, and the LLM classifies, filters, or summarizes your data in real time.
This guide is for OAC practitioners, solutions architects, and data analysts who want to add AI-powered text analysis to their analytics workbooks. If your organization already uses Oracle Analytics Cloud and has free-text columns sitting unused in the data warehouse, these functions let you unlock that data immediately — no additional tools, no data science team required.
Two guided steps — from model registration to a fully AI-powered churn detection dashboard.
Complete walkthrough — OCI Resource Connection, Autonomous AI Lakehouse, credential creation, network ACL, AI profile, and troubleshooting with exact error fixes.
Click-by-click instructions — sentiment classification, churn risk flagging, group summarization, dashboard assembly. Explore how each AI function transforms your data, then compare against the reference DVA file.
A downloadable OAC workbook (.dva) with the completed hands-on exercise — all AI-powered calculated columns and visualizations pre-built for comparison.
Available alongside these guides for import into your OAC instance.