SAP Analytics Cloud: Predictive Analytics | Agenda Bookshop Skip to content
Online orders placed from 19/12 onward will not arrive in time for Christmas.
Online orders placed from 19/12 onward will not arrive in time for Christmas.
A01=Antoine Chabert
A01=David Serre
Age Group_Uncategorized
Age Group_Uncategorized
Author_Antoine Chabert
Author_David Serre
automatic-update
Category1=Non-Fiction
Category=UFLS
Category=UNC
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€100 and above
PS=Active
softlaunch

SAP Analytics Cloud: Predictive Analytics

English

By (author): Antoine Chabert David Serre

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 See more
Current price €105.44
Original price €110.99
Save 5%
A01=Antoine ChabertA01=David SerreAge Group_UncategorizedAuthor_Antoine ChabertAuthor_David Serreautomatic-updateCategory1=Non-FictionCategory=UFLSCategory=UNCCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€100 and abovePS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 272g
  • Dimensions: 152 x 229mm
  • Publication Date: 31 May 2024
  • Publisher: SAP Press
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781493224784

About Antoine ChabertDavid Serre

Antoine Chabert is a product manager for SAP Analytics Cloud. He joined SAP more than 16 years ago and developed his expertise in SAP Analytics products including SAP BusinessObjects SAP Lumira SAP Predictive Analytics and SAP Analytics Cloud in various functional roles. He helps SAP Analytics Cloud customers get the most out of the product and he works with SAP Engineering to create exciting innovations connecting predictive analytics business intelligence and planning. Antoine holds a master's degree in computer science engineering. Outside of the office he loves reading playing badminton and spending time with his family. David Serre is the product owner of the smart predict capability in SAP Analytics Cloud. He works closely with the product management team to convert customer needs into the features delivered in smart predict. David holds a master's degree in computer science and data exploration. In 2007 he started working as a software developer and later became a product owner for KXEN an editor of predictive solutions. David joined SAP in 2014 and has worked as product owner for predictive analytics and smart predict since then.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept