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.