Masterclass session on 'Delivering Business outcomes using Augmented Analytics'
summary
Claim: SAP Analytics Cloud runs Smart Discovery and Smart Predict to auto-generate BI stories and predictive models for non‑data‑scientists, using SAP HANA in‑memory algorithms and UCI/CSV inputs (demo data: bank marketing, bookstore, juice company). The system reports model quality and predictive confidence (examples shown ~84% quality, ~96–97% confidence), does automated feature engineering and clustering, produces profit‑simulation recommendations (contact X% of customers to reach Y% of buyers), and embeds models into SAP apps with retraining and lifecycle monitoring to raise adoption.
AI-written summary · about
chapters (12)
- 0:00Augmented analytics intro
- 2:07Analytics evolution
- 8:08Defining augmented analytics and its place in the landscape
- 15:06Data science challenges
- 21:27SAP Analytics Cloud
- 32:19Predictive modeling for all
- 41:10Embedding machine learning into business applications
- 44:19SAP learnings
- 50:16Demo setup guide
- 1:01:02Hands-on part one
- 1:25:18Hands-on part two
- 1:38:33Q&A
related talks
33mApplied Intelligence in SAP Digital Enterprise Platform
23mUnlock the power of Intelligent Enterprise with Augmented Analytics
07mLeveraging AI & Predictive Analytics in Enterprise Architecture
27mBuild Intelligent Business Applications with Machine Learning and Cloud Foundry
21mOptimizing data delivery for faster, better analytical insights
21mRealizing the Potential of Business AI
27mEnterprise AI at Scale: Success Stories and Insights
23mDelivering business success with AI
