Designing Data Models and Transforming Data in SAC (SACM21) - Batch 1

USD 30.00 USD 22.50

25% Discount

The first class is FREE upon registration.

Bimbadhar Biswal

Course Language: EN (English)

This course includes:

7h 0m live online session

Certificate of completion

Level:
Beginner
teaching method:
Live Online Classes
Practice System needed:
  • SAP Analytics Cloud Platform
Target Audience:
  • Anybody interested in learning SAC
  • Anybody interested in getting certified in SAC
  • Industry / Business Analyst Consultant
  • Data Scientist
  • Financial Planners
Course objective:
  • Explore the Data Modeling concepts in SAC
Video Recording Available:
  •  No

Description :

The complete SAC learning path and certification consists of the following modules:

1. SAP Analytics Cloud Foundation (SACE11)

2. Design Data Models and Transform Data in SAC (SACM21)

3. Designing Stories in SAC (SACS21)

4. Leveraging SAC Functionality for Enterprise Planning (SACP21)

5. Administration and Data Connectivity (SACA21)

6. Advanced Story Design (SACS31)

7. SAC Planning with SAP BW (SACP32)

8. SAC Planning in S/4HANA system (SACP31)

9. Designing Extended Planning Stories in SAC (SACP33)

10. Augmented Analytics (SACR21)

11. Create R Visualizations (SACR31)

 

This is the 2nd module in the complete SAP Analytics Cloud (SAC) learning path.

The complete SAC learning path will walk you through all the concepts of SAC, prepare you for SAC certifications, and prepare you for SAC (reporting & planning) related assignments.

 

This learning journey is an interactive deep dive into SAP Analytics Cloud data modeling, designed to help you build knowledge and skills.

John Doe

Bimbadhar Biswal

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Germany

FMVA, FP&A, Professional Scrum Master, Project Manager / SAP Solution Architect with 15+ years of experience in managing and delivering projects using various EPM (Enterprise Performance Management) tools like Business Planning and Consolidation (BPC), SAP Analytics Cloud (SAC), Business Intelligence (BI), Integrated Planning (IP), and Business Planning and Simulation (BPS).

Have delivered 20+ corporate trainings on various SAP technologies.

 

  • Diligent Project Manager offering a proven record of success, with overall experience of 13+ years, leading all phases of complex and diverse technology projects; led team of 10-50 members; and IT and business finance experience as a Professional Scrum Master, a Certified FMVA from CFI and a Certified FP&A from CFI.
  • Business strategist: plan and manage multimillion-dollar projects aligning business goals with technology solutions to drive process improvements, competitive advantage, and bottom-line gains.
  • Proficient at engaging at CxO levels to define the overall performance management strategy and framework leading to the more detailed planning and reporting processes in line with the organizations long term vision & objectives, with experience in handling pre-sales initiatives, requirements gathering and project scoping activities, business blueprinting and realization activities with hands-on configuration skills.
  • Strong leadership, inter-personal, planning and execution skills, with the ability to quickly understand and grasp the different process across various industries, and possess great skills in working as a team and an excellent team player.
  • Excellent communicator: leverage technical, business, and financial acumen to communicate effectively with client executives and their respective teams.
  • Expert in agile and waterfall project management methodologies. Known for ability to produce high-quality deliverables that meet or exceed timeline and budgetary targets.
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Course Content : Expand all sections

  • 7 lectures
  • 7h 0m total length

This is an introduction session to the entire course.

After completing this unit, you will be able to:

Describe the foundational concepts of data modeling

Identify the different model structures

Describe the model types and data sources

Explain the types of datasets and the difference between datasets and models

Create a dataset

After completing this unit, you will be able to:

Explain private and public dimensions and the difference between dimensions and measures

Explain account, organization, generic, data and version data types

Explain the unique properties for dimension types

Explain the prerequisites required for creating hierarchies

Create a dimension and hierarchy

Import and wrangle data in a dimension

After completing this unit, you will be able to:

Create an import model

Explain data transformation functions in an import model

Import data into a model

Schedule data import

Explain calculations created for import models

After completing this unit, you will be able to:

Create calculated measures in a model

Configure and translate currencies

Explain the prerequisites required for creating hierarchies

Build custom time hierarchies

After completing this unit, you will be able to:

Create live models

Configure data for a geo map

Apply data access control