SAP Predictive Analytics

The Comprehensive Guide

Antoine Chabert, Andreas Forster, Laurent Tessier, Pierpaolo Vezzosi (Autoren)

Buch | Softcover

500 Seiten

2017
SAP Press (Verlag)
978-1-4932-1592-8 (ISBN)

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Leave your crystal ball behind and peer into the future with SAPPredictive Analytics. Master predictive models, regression, time series forecasting, clustering, and more, and learn how to get SAP Predictive Analytics up and running.

Leave your crystal ball behind and peer into the future with SAPPredictive Analytics. Master predictive models—regression, time series forecasting, clustering, and more—and learn how to get SAP Predictive Analytics up and running. Discover the essential tools, from Predictive Factory and the Automated Modeler to the Data Manager and Social Network Analysis. Get predictive analysis working for you. Highlights include: Predictive models; Classification models; Regression models; Time-series forecasting models; Predictive Factory; Automated Analytics; Expert Analytics; Social Network Analysis (SNA); Data Manager; Installation; Integration.

Pierpaolo Vezzosi is director of product management in the SAP Analytics organization. He joined BusinessObjects in 2000 as a technology alliances manager to develop the company relationship with key technological partners and monitor innovating trends, including offshore activities in India. In 2006 he moved to product management in the Semantic Layer area to define the strategy for SAP BusinessObjects BI universes and the Information Design Tool. His current area of focus is predictive analytics and big data. Before joining BusinessObjects, Pierpaolo held several positions in the software industry as an analyst, developer, support engineer, and technical documentation editor. He holds a master's degree in aeronautics and space engineering.

Preface
Objective
Target Audience
Structure of This Book
Getting Started
An Introduction to Predictive Analytics
The Importance of Predictive Analysis
Predictive Analysis: Prescriptive and Exploratory
Preparing for a Successful Predictive Analysis Project
Industry Use Cases
Summary
What Is SAP Predictive Analytics?
Building Predictive Models with SAP Predictive Analytics
Automated Analytics and Expert Analytics
Mass Production of Predictive Models with the Predictive Factory
Data Preparation
Additional SAP Predictive Analytics Capabilities
Summary
Installing SAP Predictive Analytics
Recommended Deployments
Installing the SAP Predictive Analytics Server
Installing the SAP Predictive Analytics Client
Installing the Predictive Factory
Installing SAP Predictive Analytics Desktop
SAP HANA Installation Steps
Summary
Planning a Predictive Analytics Project
Introduction to the CRISP-DM Methodology
Running a Project
Summary
The Predictive Factory
Predictive Factory
Predictive Factory: End-to-End Modeling
Creating a Project
External Executables
Variable Statistics
Summary
Automated Predictive Classification Models
Introducing Classification Models
Creating an Automated Classification Model
Understanding and Improving an Automated Classification Model
Applying an Automated Classification Model
The Data Science behind Automated Predictive Classification Models
Summary
Automated Predictive Regression Models
Introducing Regression Models
Creating an Automated Regression Model
Understanding and Improving an Automated Regression Model
Applying an Automated Regression Model
Summary
Automated Predictive Time Series Forecasting Models
Creating and Understanding Time Series Forecast Models
Mass Producing Time Series Forecasts
Productizing the Forecast Model
The Data Science behind Automated Time Series Forecasting Models
Summary
Massive Predictive Analytics
Deploying Predictive Models in Batch Mode
Model Quality and Deviation
Automatically Retraining Models
Scheduling and Combining Massive Tasks
Deploying Expert Analytics Models
Summary
Automated Analytics
Automated Analytics User Interface
When to Use Automated Analytics
Navigating the User Interface
Exploring the Automated Analytics Modules
Summary
Automated Predictive Clustering Models
The Clustering Approach of Automated Analytics
Creating a Clustering Model
Supervised and Unsupervised Clustering
The Data Science behind Automated Clustering Models
Summary
Social Network Analysis
Terminology of Social Network Analysis
Automated Functionalities of Social Network Analysis
Creating a Social Network Analysis Model
Navigating and Understanding the Social Network Analysis Output
Colocation and Path Analysis Overview
Conclusion
Automated Predictive Recommendation Models
Introduction
Using the Social Network Analysis Module
Using the Recommendation Module
Using the Automated Predictive Library
Summary
Advanced Data Preparation Techniques with the Data Manager
Data Preparation for SAP Predictive Analytics
Building Datasets for SAP Predictive Analytics
Creating a Dataset using the Data Manager
Additional Functionalities
Using Data Manager Objects in the Modeling Phase
Managing Metadata
SQL Settings
Summary
Advanced Workflows
Expert Analytics
When to Use Expert Analytics
Navigating the Expert Analytics Interface
Understanding a Typical Project Workflow
Creating an Expert Analytics Predictive Model
Exploring the Available Algorithms
Extending Functionality with R
Summary
Integration into SAP and Third-Party Applications
Exporting Models as Third-Party Code
In-Database Integration
Scripting
Summary
Hints, Tips, and Best Practices
Improving Predictive Model Quality
Additional Resources
Summary
Conclusion
Lessons Learned
The Future of SAP Predictive Analytics
Next Steps
Appendices
481

Erscheinungsdatum	08.02.2018
Reihe/Serie	SAP PRESS Englisch
Verlagsort	Maryland
Sprache	englisch
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
Themenwelt	Informatik ► Weitere Themen ► SAP
Schlagworte	1592 • Netzwerke • predictive analytics • SAP BOBJ Predictive Analytics • SAP BO Predictive Analytics • SAP Business Objects • SAP BusinessObjects Predictive Analytics
ISBN-10	1-4932-1592-2 / 1493215922
ISBN-13	978-1-4932-1592-8 / 9781493215928
Zustand	Neuware