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PAII10SAP Predictive Analytics

..

COURSE OUTLINE.

Course Version:Course Duration: 5 Day(s)

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Contents

vii Course Overview

1 Unit 1: Introduction to Predictive Analytics

1 Lesson: Introducing Predictive Analytics1 Lesson: Understanding SAP Predictive Analytics1 Lesson: Describing Use Cases

3 Unit 2: Foundations of SAP Automated Analytics

3 Lesson: Introducing SAP Automated Analytics3 Lesson: Understanding Foundations3 Lesson: Understanding Data Encoding3 Lesson: Understanding Model Building

5 Unit 3: Classification Modeling with SAP Automated Analytics

5 Lesson: Understanding Classification Modeling with SAP Automated Analytics

5 Lesson: Understanding Classification Model Output5 Lesson: Understanding the Confusion Matrix5 Lesson: Applying a Model5 Lesson: Improving Predictive Power and Prediction Confidence5 Lesson: Reducing the Number of Variables6 Lesson: Understanding Data Deviation Testing6 Lesson: Describing Advanced Functionality6 Lesson: Understanding Advanced Data Description Functionality

7 Unit 4: Regression Modeling with SAP Automated Analytics

7 Lesson: Understanding Regression Modeling with SAP Automated Analytics

9 Unit 5: Clustering with SAP Automated Analytics

9 Lesson: Introducing Cluster Analysis9 Lesson: Understanding Options: Target Or No Target9 Lesson: Understanding Cluster Range9 Lesson: Understanding Model Debriefing9 Lesson: Applying the Model9 Lesson: Describing Segmented Models

11 Unit 6: Time Series with SAP Automated Analytics

11 Lesson: Describing Time Series with SAP Automated Analytics

© Copyright. All rights reserved. v

13 Unit 7: SAP Data Manager

13 Lesson: Introducing SAP Data Manager13 Lesson: Understanding Data Manipulation13 Lesson: Using SAP Data Manager

15 Unit 8: SAP Predictive Factory

15 Lesson: Introducing SAP Predictive Factory15 Lesson: Completing Setup15 Lesson: Importing Models15 Lesson: Creating and Scheduling Tasks15 Lesson: Understanding Segmented Modeling

17 Unit 9: Social and Recommendations Functionality

17 Lesson: Understanding the Social Functionality17 Lesson: Understanding the Recommendations Functionality

19 Unit 10: SAP Predictive Analytics Expert

19 Lesson: Understanding SAP Predictive Analytics Expert

21 Unit 11: SAP Cloud Platform Predictive Services

21 Lesson: Describing SAP Cloud Platform Predictive Services

vi © Copyright. All rights reserved.

Course Overview

TARGET AUDIENCEThis course is intended for the following audiences:

● Application Consultant

● Technology Consultant

● Super / Key / Power User

● System Administrator

● Technology Consultant

© Copyright. All rights reserved. vii

UNIT 1 Introduction to Predictive Analytics

Lesson 1: Introducing Predictive AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe predictive analytics

Lesson 2: Understanding SAP Predictive AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe SAP Predictive Analytics

Lesson 3: Describing Use CasesLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe use cases

© Copyright. All rights reserved. 1

Unit 1: Introduction to Predictive Analytics

2 © Copyright. All rights reserved.

UNIT 2 Foundations of SAP Automated Analytics

Lesson 1: Introducing SAP Automated AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain SAP Automated Analytics

Lesson 2: Understanding FoundationsLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain data cutting strategy

Lesson 3: Understanding Data EncodingLesson ObjectivesAfter completing this lesson, you will be able to:

● Prepare data

Lesson 4: Understanding Model BuildingLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe model building methodology for Automated Analytics


Unit 2: Foundations of SAP Automated Analytics


UNIT 3 Classification Modeling with SAP Automated Analytics

Lesson 1: Understanding Classification Modeling with SAP Automated AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:

● Create a classification model

Lesson 2: Understanding Classification Model OutputLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain classification model output

Lesson 3: Understanding the Confusion MatrixLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain the confusion matrix

Lesson 4: Applying a ModelLesson ObjectivesAfter completing this lesson, you will be able to:

● Apply a model

Lesson 5: Improving Predictive Power and Prediction ConfidenceLesson ObjectivesAfter completing this lesson, you will be able to:

● Improve predictive power and prediction confidence

Lesson 6: Reducing the Number of Variables


Lesson ObjectivesAfter completing this lesson, you will be able to:

● Reduce the number of variables

Lesson 7: Understanding Data Deviation TestingLesson ObjectivesAfter completing this lesson, you will be able to:

● Perform data deviation on data with target and without target

Lesson 8: Describing Advanced FunctionalityLesson ObjectivesAfter completing this lesson, you will be able to:

● Use gain chart and advanced functionality

Lesson 9: Understanding Advanced Data Description FunctionalityLesson ObjectivesAfter completing this lesson, you will be able to:

● Use composite variables and geolocation tiles

Unit 3: Classification Modeling with SAP Automated Analytics


UNIT 4 Regression Modeling with SAP Automated Analytics

Lesson 1: Understanding Regression Modeling with SAP Automated AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:

● Build a regression model


Unit 4: Regression Modeling with SAP Automated Analytics


UNIT 5 Clustering with SAP Automated Analytics

Lesson 1: Introducing Cluster AnalysisLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe clustering and segmentation

Lesson 2: Understanding Options: Target Or No TargetLesson ObjectivesAfter completing this lesson, you will be able to:

● Differentiate between supervised and unsupervised segmentation

Lesson 3: Understanding Cluster RangeLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain cluster range

Lesson 4: Understanding Model DebriefingLesson ObjectivesAfter completing this lesson, you will be able to:

● Understand cluster profiles

Lesson 5: Applying the ModelLesson ObjectivesAfter completing this lesson, you will be able to:

● Apply segmentation model options

Lesson 6: Describing Segmented ModelsLesson Objectives


After completing this lesson, you will be able to:

● Improve classification and regression models with segmentation

Unit 5: Clustering with SAP Automated Analytics


UNIT 6 Time Series with SAP Automated Analytics

Lesson 1: Describing Time Series with SAP Automated AnalyticsLesson ObjectivesAfter completing this lesson, you will be able to:

● Train a time series


Unit 6: Time Series with SAP Automated Analytics


UNIT 7 SAP Data Manager

Lesson 1: Introducing SAP Data ManagerLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe data preperation and SAP Data Manager

Lesson 2: Understanding Data ManipulationLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain data manipulation functionality

Lesson 3: Using SAP Data ManagerLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain the Data Manager benefits and process


Unit 7: SAP Data Manager


UNIT 8 SAP Predictive Factory

Lesson 1: Introducing SAP Predictive FactoryLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain Predictive Factory

Lesson 2: Completing SetupLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe architecture and roles

Lesson 3: Importing ModelsLesson ObjectivesAfter completing this lesson, you will be able to:

● Import models

Lesson 4: Creating and Scheduling TasksLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain model scheduling functionality

Lesson 5: Understanding Segmented ModelingLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain time series segmented model


Unit 8: SAP Predictive Factory


UNIT 9 Social and Recommendations Functionality

Lesson 1: Understanding the Social FunctionalityLesson ObjectivesAfter completing this lesson, you will be able to:

● Build a Social model

Lesson 2: Understanding the Recommendations FunctionalityLesson ObjectivesAfter completing this lesson, you will be able to:

● Create a retail recommendation analysis


Unit 9: Social and Recommendations Functionality


UNIT 10 SAP Predictive Analytics Expert

Lesson 1: Understanding SAP Predictive Analytics ExpertLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe SAP Predictive Analytics Expert and Predictive Analysis Library (PAL)


Unit 10: SAP Predictive Analytics Expert


UNIT 11 SAP Cloud Platform Predictive Services

Lesson 1: Describing SAP Cloud Platform Predictive ServicesLesson ObjectivesAfter completing this lesson, you will be able to:

● Use Data Manager on a large data set, build an Analytic Data Set (ADS), build a classification model, and productionize it in Predictive Factory


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