COURSE OVERVIEW
SAP0005 : SAP Data & Analytics
OVERVIEW
| COURSE TITLE | : | SAP0005 : SAP Data & Analytics |
| COURSE DATE | : | Jul 19 - Jul 23 2026 |
| DURATION | : | 5 Days |
| INSTRUCTOR | : | Mr. George Kordosis |
| VENUE | : | Al Khobar, KSA |
| COURSE FEE | : | $ 5500 |
| Register For Course Outline | ||
Course Description
This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops.
This course is designed to provide participants with a detailed and up-to-date overview of SAP Data and Analytics. It covers the SAP analytics strategy, evolution from traditional BI to intelligent analytics and the role of analytics in digital transformation; the SAP data and analytics architecture, SAP HANA as an analytics platform and data modeling concepts in SAP; the data extraction and replication methods, real-time versus batch data processing, data transformation principles and data quality considerations; and the SAP analytics tools, SAP BW/4HANA fundamentals and data acquisition in SAP.
Further, the course will also discuss the data modeling objects, data transformation and flow; the data governance, quality, authorizations and security; the SAC architecture and components, connectivity options, analytics, planning and predictive features; the integration with SAP HANA and BW; the data modeling in SAP analytics cloud, story design and visualization and analytical applications; and the embedded and operational analytics, collaboration and distribution, predictive analytics concepts and predictive analytics in SAP.
During this interactive course, participants will learn the planning and what-if analysis, advanced calculations and formulas and integration with AI and machine learning; the data volume management, query and model optimization, best practices for scalable analytics and monitoring analytics performance; the analytics strategy and roadmap, enterprise reporting standards and data governance and compliance; and the driving analytics adoption, training and enablement strategies, self-service analytics governance and measuring user engagement.
link to course overview PDF
This course is designed to provide participants with a detailed and up-to-date overview of SAP Data and Analytics. It covers the SAP analytics strategy, evolution from traditional BI to intelligent analytics and the role of analytics in digital transformation; the SAP data and analytics architecture, SAP HANA as an analytics platform and data modeling concepts in SAP; the data extraction and replication methods, real-time versus batch data processing, data transformation principles and data quality considerations; and the SAP analytics tools, SAP BW/4HANA fundamentals and data acquisition in SAP.
Further, the course will also discuss the data modeling objects, data transformation and flow; the data governance, quality, authorizations and security; the SAC architecture and components, connectivity options, analytics, planning and predictive features; the integration with SAP HANA and BW; the data modeling in SAP analytics cloud, story design and visualization and analytical applications; and the embedded and operational analytics, collaboration and distribution, predictive analytics concepts and predictive analytics in SAP.
During this interactive course, participants will learn the planning and what-if analysis, advanced calculations and formulas and integration with AI and machine learning; the data volume management, query and model optimization, best practices for scalable analytics and monitoring analytics performance; the analytics strategy and roadmap, enterprise reporting standards and data governance and compliance; and the driving analytics adoption, training and enablement strategies, self-service analytics governance and measuring user engagement.
TRAINING METHODOLOGY
This interactive training course includes the following training methodologies:
LecturesPractical Workshops & Work Presentations
Hands-on Practical Exercises & Case Studies
Simulators (Hardware & Software) & Videos
In an unlikely event, the course instructor may modify the above training methodology for technical reasons.
VIRTUAL TRAINING (IF APPLICABLE)
If this course is delivered online as a Virtual Training, the following limitations will be applicable:
| Certificates | : | Only soft copy certificates will be issued |
| Training Materials | : | Only soft copy materials will be issued |
| Training Methodology | : | 80% theory, 20% practical |
| Training Program | : | 4 hours per day, from 09:30 to 13:30 |
OTHER SCHEDULED DATES
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