Sap Predictive Analytics
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SAP Analytics Cloud: Predictive Analytics
Today's organizations must be prepared for tomorrow's events. Forecast future behavior in SAP Analytics Cloud with this comprehensive guide to predictive analytics! Start by learning about the data types, scenarios, and methods used in predictive analytics projects. Then follow step-by-step instructions to build, analyze, and apply predictive models to your business data using classification, time series forecasting, and regression analysis. Automate your models and dive into the data science with this all-in-one guide! In this book, you'll learn about: a. Predictive Scenarios and Projects Understand the basics of predictive analytics in SAP Analytics Cloud: scenarios, data types, and actions. Then plan your predictive project, including identifying the key stakeholders and reviewing the methodology. b. Build, Train, Analyze, and Apply Master predictive models from end to end. Create classification, time series, and regression models; then train them to identify business patterns. Analyze and apply the results of your models to data in SAP Analytics Cloud. c. Practical Demonstrations See predictive analytics in action! Identify use cases for predictive modeling. For each data model, understand practical applications through curated examples with sample business data. Highlights include: 1) Predictive scenarios 2) Predictive forecasts 3) Data modeling 4) Planning 5) Time series model 6) Classification model 7) Regression model 8) Multi-actions 9) Data science 10) Stories and dashboards
SAP Predictive Analytics
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
First Steps in SAP Predictive Analytics
Author: Anurag Barua
language: de
Publisher: Espresso Tutorials GmbH
Release Date: 2019-02-18
Curious about how to leverage SAP Predictive Analytics (SAP PA) to effectively mine data and unearth trends, patterns, and relationships? In this book written for users and analysts, readers will explore the foundations of SAP Predictive Analytics. Review the architectural underpinnings and technical components that make up SAP PA. Explore how SAP PA works with SAP HANA. Walk through the installation steps and learn the differences between the desktop and enterprise versions. Explore SAP PA modules and components, including the predictive analytical library (PAL), the application function library (AFL), and the SAP HANA automated predictive library (APL). Leverage the data manager and learn how to create an event log aggregation. Get tips for performing text analysis and take an in depth look at automated analytics, including Expert Analytics. Dive into a sales and pipeline forecasting example using specific SAP PA functions and algorithms. By using practical examples, tips, and screenshots, this book explores: - SAP PA architecture and technical components - How SAP PA works with SAP HANA - Core SAP PA modules and components - Detailed sales/pipeline forecasting example