SAP Analytics Cloud

Predictive Analytics

Antoine Chabert, David Serre

$195.95 $176.07

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

SAP Press
24 April 2024

SAP (Systems, applications & products in databases); Data capture & analysis

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

By: Antoine Chabert, David Serre
Imprint: SAP Press
Country of Publication: United States
Dimensions: Height: 229mm, Width: 152mm,
ISBN: 9781493224784
ISBN 10: 1493224786
Pages: 275
Publication Date: 24 April 2024
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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.