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Sap Analytics Cloud Predictive Analytics Chabert Antoineserre

  • SKU: BELL-58040608
Sap Analytics Cloud Predictive Analytics Chabert Antoineserre
$ 31.00 $ 45.00 (-31%)

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Sap Analytics Cloud Predictive Analytics Chabert Antoineserre instant download after payment.

Publisher: Rheinwerk Publishing Inc./SAP Press
File Extension: EPUB
File size: 8.17 MB
Author: Chabert, Antoine;Serre, David;
Language: English
Year: 2024

Product desciption

Sap Analytics Cloud Predictive Analytics Chabert Antoineserre by Chabert, Antoine;serre, David; instant download after payment.

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

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