[PDF] Sap Predictive Analytics - eBooks Review

Sap Predictive Analytics


Sap Predictive Analytics
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Sap Predictive Analytics


Sap Predictive Analytics
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Author : Antoine Chabert
language : en
Publisher: SAP PRESS
Release Date : 2017-12-30

Sap Predictive Analytics written by Antoine Chabert and has been published by SAP PRESS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-30 with Data mining categories.


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



Sap Analytics Cloud


Sap Analytics Cloud
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Author : Abassin Sidiq
language : en
Publisher: SAP Press
Release Date : 2020-05-26

Sap Analytics Cloud written by Abassin Sidiq and has been published by SAP Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-26 with Computers categories.


Discover the next generation of BI with this guide to SAP Analytics Cloud! Get your data into the system and see which data models to use in which situations. Next, learn about stories--how to create visualizations for them, publish them, and enhance them. With information on using SAP Analytics Cloud for financial planning, predictive analytics, dashboard creation, and more, this book is your one-stop shop! Highlights include: 1) Data modeling 2) Stories 3) Visualizations 4) Dashboards 5) Financial planning 6) Predictive analytics 7) SAP Analytics Cloud, analytics designer 8) SAP Digital Boardroom 9) SAP Analytics Hub 10) Data integration 11) Configuration



Implementing Machine Learning With Sap S 4hana


Implementing Machine Learning With Sap S 4hana
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Author : Siar Sarferaz
language : en
Publisher: SAP PRESS
Release Date : 2020

Implementing Machine Learning With Sap S 4hana written by Siar Sarferaz and has been published by SAP PRESS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.


Put machine learning to work in SAP S/4HANA! Get started by reviewing your available tools and implementation options. Then, learn how to set up services, train models, and manage applications. Discover how machine learning is implemented in key lines of business, from finance to sales. With details on extensibility and related SAP Cloud Platform services, you'll find everything you need to make the most of machine learning! In this book, you'll learn about: a. Tools and Technologies Get to know the machine learning toolkit you can use to consume models: SAP HANA, SAP Cloud Platform, SAP Analytics Cloud, SAP Intelligent Robotic Process Automation, and more. b. Technical Implementation Perform the technical setup in SAP S/4HANA. Learn how to implement key services, train machine learning models, and manage applications, from data integration to user interface design. c. Business Implementation See how machine learning improves your lines of business. Explore machine learning in SAP S/4HANA business processes for finance, procurement, sales, inventory, and more. Highlights Include: 1) Predictive analytics 2) Predictive intelligence 3) Tools and technologies 4) Architecture 5) Embedded services 6) Technical implementation 7) Business implementation 8) Extensibility 9) SAP HANA 10) SAP Cloud Platform 11) SAP Analytics Cloud



Sap Analytics Cloud Predictive Analytics


Sap Analytics Cloud Predictive Analytics
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Author : Antoine Chabert
language : en
Publisher: SAP Press
Release Date : 2024

Sap Analytics Cloud Predictive Analytics written by Antoine Chabert and has been published by SAP Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.


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



Predictive Analysis With Sap


Predictive Analysis With Sap
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Author : John MacGregor (Product manager)
language : en
Publisher:
Release Date : 2014

Predictive Analysis With Sap written by John MacGregor (Product manager) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.




First Steps In Sap Predictive Analytics


First Steps In Sap Predictive Analytics
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Author : Anurag Barua
language : de
Publisher: Espresso Tutorials GmbH
Release Date : 2019-02-18

First Steps In Sap Predictive Analytics written by Anurag Barua and has been published by Espresso Tutorials GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-18 with categories.


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



Practical Guide To Sap Hana And Big Data Analytics


Practical Guide To Sap Hana And Big Data Analytics
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Author : Dominique Alfermann
language : de
Publisher: Espresso Tutorials GmbH
Release Date : 2018-12-20

Practical Guide To Sap Hana And Big Data Analytics written by Dominique Alfermann and has been published by Espresso Tutorials GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-20 with Computers categories.


In this book written for SAP BI, big data, and IT architects, the authors expertly provide clear recommendations for building modern analytics architectures running on SAP HANA technologies. Explore integration with big data frameworks and predictive analytics components. Obtain the tools you need to assess possible architecture scenarios and get guidelines for choosing the best option for your organization. Know your options for on-premise, in the cloud, and hybrid solutions. Readers will be guided through SAP BW/4HANA and SAP HANA native data warehouse scenarios, as well as field-tested integration options with big data platforms. Explore migration options and architecture best practices. Consider organizational and procedural changes resulting from the move to a new, up-to-date analytics architecture that supports your data-driven or data-informed organization. By using practical examples, tips, and screenshots, this book explores: - SAP HANA and SAP BW/4HANA architecture concepts - Predictive Analytics and Big Data component integration - Recommendations for a sustainable, future-proof analytics solutions - Organizational impact and change management



Practical Data Science With Sap


Practical Data Science With Sap
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Author : Greg Foss
language : en
Publisher: O'Reilly Media
Release Date : 2019-09-18

Practical Data Science With Sap written by Greg Foss and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-18 with Computers categories.


Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data. Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths. You'll explore: Examples of how data analysis can help you solve several SAP challenges Natural language processing for unlocking the secrets in text Data science techniques for data clustering and segmentation Methods for detecting anomalies in your SAP data Data visualization techniques for making your data come to life



Sap Data Intelligence


Sap Data Intelligence
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Author : Dharma Teja Atluri
language : en
Publisher: SAP PRESS
Release Date : 2021

Sap Data Intelligence written by Dharma Teja Atluri and has been published by SAP PRESS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Computers categories.


Manage your data landscape with SAP Data Intelligence! Begin by understanding its architecture and capabilities and then see how to set up and install SAP Data Intelligence with step-by-step instructions. Walk through SAP Data Intelligence applications and learn how to use them for data governance, orchestration, and machine learning. Integrate with ABAP-based systems, SAP Vora, SAP Analytics Cloud, and more. Manage, secure, and operate SAP Data Intelligence with this all-in-one guide!In this book, you'll learn about:a. Configuration Build your SAP Data Intelligence landscape! Use SAP Cloud Appliance Library for cloud deployment, including provisioning, sizing, and accessing the launchpad. Perform on-premise installations using tools like the maintenance planner. b. Capabilities Put the core capabilities of SAP Data Intelligence to work! Manage and govern your data with the metadata explorer, use the modeler application to create data processing pipelines, create apps with the Jupyter Notebook, and more. c. Integration and Administration Integrate, manage, and operate SAP Data Intelligence! Get step-by-step instructions for integration with SAP and non-SAP systems. Learn about key administration tasks and make sure your landscape is secure and running smoothly. Highlights include:1) Configuration and installation2) Data governance3) Data processing pipelines4) Docker images5) ML Scenario Manager6) Jupyter Notebook7) Python SDK8) Integration9) Administration10) Security11) Application lifecycle management12) Use cases