PAII10 SAP Predictive Analytics

• Application Consultant
• Business Analyst
• Program / Project Manager
• System Administrator
• Technology Consultant

This course will prepare you to:

• Understand predictive analytics concepts and approaches, as well as how they are implemented within the context of the SAP Predictive Analytics tool
• Develop the ability to use Predictive Analytics within a Data Science project context
• Be able to use automated analytics capabilities to build, score and implement classification, regression and time-series models
• Use Data Manager to prepare and manipulate data to support modelling
• Understand and implement Predictive Factory to import, build and schedule models
• Build Social and Recommendation models
• Be introduced to Expert Analytics and the Predictive Analytics Library (PAL)

Essential

• None

Recommended

• Basic statistical skills and a background in Business Analytics and Data Modelling

The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

• Predictive Analytics
• Automated Analytics
• Classification Modelling with Automated Analytics
• Regression Modelling with Automated Analytics
• Clustering with Automated Analytics
• Time Series with Automated Analytics
• Data Manager
• Predictive Factory
• Social and Recommendation
• SAP Predictive Analytics Expert
• SAP Cloud Platform Predictive Services

Introduction to Predictive Analytics

• What is Predictive Analytics
• Introduction to SAP Predictive Analytics
• Predictive Analytics projects and CRISP-DM
• SAP Use Case examples

Foundations of Automated Analytics

• Introduction to SAP Automated Analytics
• Foundations
• Data Encoding
• Model Building

• Training a classification model
• Applying a model
• Understanding model output
• Understanding the confusion matrix
• Improving Predictive Power and Prediction Confidence
• Reducing number of variables
• Data deviation testing
• Advanced Functionality
• Advanced Data Description Functionality

• Training a regression model

• Introduction to clustering and segmentation
• Target or no target?
• Building a segmentation
• Model debriefing
• Model apply
• Segmented models

• Training a time series

• Data Preparation
• Data Manipulation
• Data Manager process and benefits

• Introduction
• Setup
• Building a model in Predictive Factory
• Importing models
• Scheduling models
• Segmented modelling

• Social
• Recommendation

• Expert Analytics

• PAL