This 5-week study plan is designed for the SAP C_SAC_2402 certification exam, using Pomodoro Technique for focus and Spaced Repetition for memory reinforcement. Each week focuses on one main knowledge area and includes specific goals, tasks, and reviews.

Plan Overview

• Duration: 5 Weeks (4 Weeks of Core Study, 1 Week of Review & Practice Exams)
• Daily Structure: Four 25-minute study sessions (Pomodoro), with 5-minute breaks between each; a longer break after all sessions. Spaced reviews on Day 7 of each week.
• Primary Topics:
  1. Story Design
  2. Data Modeling, Analysis, and Integration
  3. Planning
  4. Connections and Data Preparation
  5. Performance, Troubleshooting, and Security Management

Weekly Breakdown

Week 1: Story Design

Objective: Master SAP Analytics Cloud story design principles, focusing on layout, visualization, and interactivity.

Daily Tasks

1. Day 1-2:

   • Session 1: Introduction to Story Elements
     • Study interface and story elements (charts, text, images, filters).
     • Take notes on each element’s purpose.
   • Session 2: Chart Types
     • Learn when to use bar, line, pie, and scatter charts.
     • Practice choosing the best chart type for different datasets.
   • Session 3: Basic Layout Practice
     • Use sample data to create a layout with charts and text.
   • Session 4: Add and Position Interactive Elements
     • Add a filter or linked analysis to the story.

2. Day 3-4:

   • Session 1: Interactive Features Deep Dive
     • Learn about filters, linked analysis, input controls. Document best practices.
   • Session 2: Applying Interactivity
     • Practice using interactive features like filters and linked analysis.
   • Session 3: Adjusting for Clarity
     • Test and modify elements for intuitive layout and readability.
   • Session 4: Real-World Scenario Story
     • Create a story for a sales region analysis with interactivity for region selection.

3. Day 5:

   • Session 1: Visual Optimization
     • Learn best practices for color, font, and layout.
   • Session 2: Export and Sharing Options
     • Study how to export and share stories, focusing on secure access.
   • Session 3: Final Review
     • Test yourself with flashcards on chart types and interactivity.
   • Session 4: Practice Task
     • Build a final story using optimized visuals and interactivity.

Spaced Repetition Review: Day 7 (30 minutes) reviewing chart types, interactivity, and visual optimization.

Week 2: Data Modeling, Analysis, and Integration

Objective: Build data models, establish connections, and prepare data for analysis.

Daily Tasks

1. Day 1-2:

   • Session 1: Data Modeling Basics
     • Learn about dimensions, measures, and hierarchies.
   • Session 2: Relationships and Hierarchies
     • Practice creating relationships and hierarchies within datasets.
   • Session 3: Model Creation
     • Build a data model using sample data with added dimensions and measures.
   • Session 4: Hierarchy Application
     • Add hierarchies (e.g., Country > Region > City) for drill-down.

2. Day 3-4:

   • Session 1: Data Connection Options
     • Study live connections vs. data import and when to use each.
   • Session 2: Import and Live Connections
     • Practice setting up both connection types using sample datasets.
   • Session 3: Comparing Connections
     • Test performance differences between live and import connections.
   • Session 4: Connection Optimization
     • Adjust connection refresh rates and sync intervals for best performance.

3. Day 5:

   • Session 1: Data Cleaning
     • Learn about removing duplicates, standardizing formats, and handling missing values.
   • Session 2: Data Transformation and Calculated Fields
     • Create calculated fields (e.g., revenue = price * quantity).
   • Session 3: Quiz on Data Modeling
     • Test knowledge on connections, data modeling, and cleaning.
   • Session 4: Final Model Review
     • Build a new data model from scratch.

Spaced Repetition Review: Day 7 (30 minutes) focusing on relationships, hierarchies, and connections.

Week 3: Planning

Objective: Gain expertise in budgeting, forecasting, and scenario planning.

Daily Tasks

1. Day 1-2:

   • Session 1: Budgeting Basics
     • Study budget creation, focusing on planning tables and control.
   • Session 2: Budget Data Validation
     • Practice setting up validation checks within a budget.
   • Session 3: Departmental Budget Consolidation
     • Consolidate budgets across departments for organization-wide views.
   • Session 4: Cross-Department Practice
     • Merge department budgets and verify control settings.

2. Day 3-4:

   • Session 1: Forecasting Techniques
     • Study predictive models: linear regression and time-series.
   • Session 2: Scenario Forecasting
     • Create forecast scenarios (e.g., optimistic vs. pessimistic projections).
   • Session 3: Forecast Setup
     • Use historical data to build forecast models.
   • Session 4: Comparing Forecasts
     • Adjust and compare forecasts based on new data.

3. Day 5:

   • Session 1: Version Management
     • Learn to create multiple budget and forecast versions.
   • Session 2: Scenario Planning
     • Set up scenarios like best-case and worst-case forecasts.
   • Session 3: Quiz on Planning
     • Take flashcards on budget, forecast, and scenario techniques.
   • Session 4: Final Recap
     • Test your understanding of planning techniques.

Spaced Repetition Review: Day 7 (30 minutes) focusing on forecasting and scenario planning.

Week 4: Connections, Data Preparation, and Performance & Security Management

Objective: Establish data connections, perform cleaning, optimize performance, and manage security.

Daily Tasks

1. Day 1-2 (Connections & Data Preparation):

   • Session 1-2: Data Connections
     • Study various connection methods and best practices.
   • Session 3: Data Preparation
     • Practice data cleaning techniques, like handling missing values and duplicates.
   • Session 4: Transformation Testing
     • Practice data transformations for calculated fields.

2. Day 3-4 (Performance & Security):

   • Session 1-2: Performance Optimization
     • Study caching, indexing, and data compression.
   • Session 3: User Roles & Permissions
     • Practice setting up permissions for different user roles.
   • Session 4: Security Management
     • Review data encryption, masking, and audit log setup.

3. Day 5:

   • Final Review and Quiz
     • Test your knowledge on security and performance through practical tasks.

Spaced Repetition Review: Day 7 (30 minutes) for security and troubleshooting.

Week 5: Comprehensive Review and Practice Exams

1. Day 1-2: Full-length practice exam.

   • Review weak areas based on results.

2. Day 3-4: Targeted review of challenging concepts.

   • Focus on hands-on practice for identified weak areas.

3. Day 5-6: Second full practice exam and review.

   • Focus on timing and accuracy.

4. Day 7: Final review of all topics.

   • Use flashcards and summaries for final reinforcement.

Study Tips

• Pomodoro Technique: Use four 25-minute focused sessions daily with 5-minute breaks.
• Spaced Repetition: Weekly reviews to retain key concepts.
• Hands-On Practice: Complete practical tasks in SAP Analytics Cloud for every topic.

By following this structured plan, you’ll cover all critical content areas and reinforce key concepts, setting yourself up for success on the C_SAC_2402 certification exam.