SAP Analytics Cloud & Datasphere Training in Bangalore

INTRODUCTION TO SAP ANALYTICS CLOUD: Overview of SAP Analytics Cloud (SAC), Features and capabilities, Role of SAC in business intelligence, Cloud-based analytics, Business Intelligence (BI), Planning and Predictive Analytics.

SAP SAC ARCHITECTURE & NAVIGATION: SAP Analytics Cloud architecture, Tenant overview, User interface navigation, Home screen, Main Menu, Toolbar, Stories, Models, Digital Boardroom, Collaboration and Content Management.

CONNECTIONS & DATA SOURCES: Overview of SAP and non-SAP data sources, Live Data Connections, Import Data Connections, SAP HANA connectivity, SAP S/4HANA integration, Excel and CSV data uploads, Database connections and Cloud data sources.

USER & SECURITY MANAGEMENT: User creation, Team management, Roles and permissions, Data access control, Model security, Folder permissions, Content sharing and SAC administration fundamentals.

Data Modeling & Preparation Fundamentals

DATA MODELING FUNDAMENTALS: Introduction to SAP SAC Models, Model creation, Dimensions, Measures, Attributes, Hierarchies, Version Management, Public Dimensions and Private Dimensions.

DATA ACQUISITION & PREPARATION: Data Import, Data Wrangling, Data Cleaning, Data Transformation, Data Mapping, Data Validation, Handling Missing Values, Duplicate Records and Data Quality Management.

DIMENSIONS & MEASURES: Account Dimensions, Organization Dimensions, Time Dimensions, Generic Dimensions, Currency Dimensions, Units of Measurement, Calculated Measures, Restricted Measures and Aggregation Methods.

ADVANCED DATA MODELING: Analytic Models, Planning Models, Fact Tables, Dimension Tables, Data Relationships, Hierarchies, Linked Dimensions, Model Validation and Data Optimization.

DATA CONNECTIVITY & INTEGRATION: Live Connections, Import Connections, Data Refresh, Scheduled Data Acquisition, Connection Management, Data Synchronization and Integration with SAP Datasphere.

STORY DEVELOPMENT FUNDAMENTALS: Introduction to Stories, Story Creation, Canvas Pages, Responsive Pages, Grid Pages, Story Design, Page Layouts, Widgets and Story Navigation.

DATA VISUALIZATION: Charts, Bar Charts, Line Charts, Pie Charts, Tables, Geo Maps, Heat Maps, Scatter Plots, Treemaps, Waterfall Charts and Data Visualization Techniques.

FILTERS & INTERACTIVE DASHBOARDS: Story Filters, Page Filters, Input Controls, Cascading Filters, Linked Analysis, Drill-Down, Drill-Up, Sorting, Ranking and Interactive Dashboard Development.

CALCULATIONS & ANALYTICS: Calculated Measures, Restricted Measures, Running Totals, Aggregations, Percentage Calculations, Variance Analysis, Time-Based Calculations and Custom Formulas.

ADVANCED STORY FEATURES: Bookmarks, Comments, Hyperlinks, Custom Widgets, Styling, Conditional Formatting, Data Exploration, Story Sharing and Dashboard Publishing.

INTRODUCTION TO SAP DATASPHERE: Overview of SAP Datasphere, Evolution from SAP Data Warehouse Cloud, Features and Capabilities, Business Data Fabric Concept, Enterprise Data Management and Cloud Data Warehousing.

SAP DATASPHERE ARCHITECTURE: SAP Datasphere Architecture, Spaces, Space Management, Tenant Administration, User Roles, Permissions, Resource Allocation and Data Governance.

DATA CONNECTIONS: SAP S/4HANA Connectivity, SAP HANA Cloud, SAP BW, SAP Business Suite, Cloud Applications, Third-Party Databases, Remote Tables and Replication Flows.

SPACE MANAGEMENT: Space Creation, Space Configuration, Storage Management, Data Access Controls, Space-to-Space Sharing, User Assignment and Resource Monitoring.

DATA INTEGRATION FUNDAMENTALS: Data Integration Techniques, Data Acquisition, Data Replication, Remote Tables, Replication Flows, Transformation Flows, Data Federation and Data Synchronization.

DATA BUILDER: Introduction to Data Builder, Table Creation, Views, SQL Views, Graphical Views, Entity Relationships, Data Flows, Data Transformations and Data Modeling Techniques.

BUSINESS BUILDER: Business Entities, Fact Models, Dimension Models, Analytical Models, Business Semantics, Measures, Attributes, Hierarchies and Business Layer Modeling.

SQL & ADVANCED MODELING: SQL Fundamentals, SQL Queries, Joins, Unions, Aggregations, Calculated Columns, Stored Procedures and SQL-Based Data Transformations.

DATA GOVERNANCE & SECURITY: Data Access Controls, Data Privacy, Row-Level Security, Object Permissions, Data Lineage, Metadata Management and Data Governance Practices.

Understand how SAP Analytics Cloud integrates with SAP Datasphere to support end-to-end enterprise analytics, business reporting and data-driven decision-making.

• SAC-DATASPHERE CONNECTIVITY: Establishing Connections, Live Data Access, Analytical Model Connectivity, Data Source Configuration and Integration Architecture.
• ANALYTICAL MODEL INTEGRATION: Connecting Analytical Models, Dimensions, Measures, Hierarchies, Semantic Modeling and Data Consumption in SAP SAC.
• LIVE DATA ANALYTICS: Real-Time Data Access, Live Connections, Data Exploration, Interactive Dashboards, Reporting and Analytical Queries.
• DATA MODEL INTEGRATION: Data Preparation in Datasphere, Business Layer Modeling, Analytical Model Creation and Data Consumption in SAC Stories.
• ENTERPRISE ANALYTICS: End-to-End Data Integration, Business Reporting, Data Visualization, Performance Monitoring and Enterprise Decision Support.

PLANNING FUNDAMENTALS: Introduction to SAP SAC Planning, Planning Models, Public and Private Versions, Budgeting, Forecasting, Financial Planning and Business Planning Processes.

DATA ENTRY & PLANNING OPERATIONS: Data Entry, Data Actions, Multi Actions, Copy Operations, Allocation Processes, Version Management, Planning Sequences and Data Locking.

FINANCIAL PLANNING: Financial Statements, Revenue Planning, Expense Planning, Cost Center Planning, Profit and Loss Planning, Budgeting and Financial Forecasting.

PREDICTIVE ANALYTICS: Predictive Scenarios, Time Series Forecasting, Smart Predict, Classification, Regression, Predictive Models and Forecast Analysis.

ADVANCED PLANNING FEATURES: Value Driver Trees, Calendar Management, Data Actions, Planning Workflows, Collaborative Planning, Variance Analysis and Scenario Planning.

DATASPHERE ADMINISTRATION: Tenant Administration, Space Configuration, User Management, Role Assignment, Permissions, Resource Monitoring and System Administration.

DATA MIGRATION & MANAGEMENT: Data Loading, Data Replication, Remote Table Management, Replication Flows, Data Validation, Data Transformation and Data Migration Error Handling.

PERFORMANCE OPTIMIZATION: Query Performance, SQL Optimization, Data Model Optimization, Resource Utilization, Data Replication Monitoring and Analytical Model Performance.

TROUBLESHOOTING & SUPPORT: Connection Errors, Data Loading Issues, Replication Failures, SQL Errors, Permission Issues, Data Inconsistencies and Model Validation Errors.

MONITORING & GOVERNANCE: Data Lineage, Dependency Analysis, Monitoring Views, Task Logs, Data Quality Monitoring, Audit Management and Data Governance.