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Description
SAP Analytics Cloud: Predictive AnalyticsToday'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
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
| EAN: | 9781493224784 |
| Farbverschnitt: | Generell werden die Bücher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen. |
| Erscheinungsjahr: | 06.08.2024 |
| Titel der Reihe: | SAP Press Englisch## |
| Autoren: | Chabert, Antoine & Serre, David |
| Seitenzahl/Blattzahl: | 315 |
| Themenüberschrift: | COMPUTERS / General |
| Keyword: | SAP Analytics Cloud (SAC); classification model; predictive analytics; regression model; time series model |
| Fachschema: | EDV / Theorie / Allgemeines~Informatik~Internet~Surfen (Internet) |
| Fachkategorie: | Informatik~Computernetzwerke und maschinelle Kommunikation |
| Länge: | 262 mm |
| Breite: | 187 mm |
| Höhe: | 22 mm |
| Gewicht: | 752 gr |
| Produktform: | Gebunden |
| Genre: | Importe |
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