SAP Analytics Cloud: Predictive Analytics by Antoine Chabert Hardcover Book

Description: SAP Analytics Cloud by Antoine Chabert, David Serre Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Todays organizations must be prepared for tomorrows events. Forecast future behavior in SAP Analytics Cloud with this comprehensive guide to predictive analytics! Automate your models and dive into the data science with this all-in-one guide! Publisher Description Todays organizations must be prepared for tomorrows 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, youll 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 ApplyMaster 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 DemonstrationsSee 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 scenarios2) Predictive forecasts3) Data modeling4) Planning5) Time series model6) Classification model7) Regression model8) Multi-actions9) Data science10) Stories and dashboards Author Biography 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 masters 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 masters 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. Details ISBN 1493224786 ISBN-13 9781493224784 Title SAP Analytics Cloud Author Antoine Chabert, David Serre Format Hardcover Year 2024 Pages 315 Publisher SAP Press GE_Item_ID:159922629; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-11-29T07:02:08.000Z

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