Module 1: Introduction to SAP Data Intelligence
- Overview of SAP Data Intelligence
- Key features and benefits
- Architecture and components
- Integration with other SAP solutions
Module 2: Data Ingestion
- Overview of data ingestion
- Configuration and deployment of data pipelines
- Use of adapters to connect to different data sources
- Real-time data ingestion using Apache Kafka
- Understanding the other data sources
- Connecting to data sources
- Data ingestion techniques
- Configuring data pipelines
Module 3: Data Processing
- Overview of data processing
- Data transformations using the Graphical Pipeline Editor
- Use of Python and R scripts for data processing
- Batch and real-time data processing
- Data preparation and transformation
- Understanding the different data formats
- Transforming data using SQL
- Configuring data quality checks
Module 4: Data Modeling
- Overview of data modeling
- Machine learning algorithms for data modeling
- Creating and deploying machine learning models
- Predictive analytics using SAP HANA
- machine learning algorithms
- Creating machine learning models
- Model training and evaluation
- Advanced modeling techniques
Module 5: Data Governance
- Overview of data governance
- Creating and managing data catalogs
- Data quality management
- Data security and compliance
- Data cataloging and metadata management
- Governing data access and security
- Data lineage and tracking
Module 6: Automation and Orchestration
- Creating workflows
- Scheduling and monitoring workflows
- Automating data processes
Module 7: Advanced Analytics
- Predictive modeling techniques
- Data visualization techniques
- Analyzing streaming data
- Using SAP Data Intelligence for real-time analytics
Module 8: Integration with Other SAP Solutions
- Integration with SAP HANA
- Integration with SAP Analytics Cloud
- Integration with SAP Business Warehouse
- Integration with SAP HANA
- Integration with SAP Analytics Cloud
- Integration with SAP Business Warehouse
Module 9: Hands-On Exercises
- Practical exercises to apply concepts learned in the course
- Configuration and deployment of data pipelines
- Use of machine learning algorithms for data modeling
- Data visualization using SAP Analytics Cloud
- Interaction with other professionals in the course
- Access to the dedicated instructor for guidance and support
- Resources for further learning and support
Module 10: SAP Concur Travel
- Logging into Concur Travel & Expense
- Exploring the My Concur Homepage
- Updating Your Travel Profile
- Changing a Trip (After Purchase)
- Working with Travel Templates
- Sharing a Trip Reservation
- Using Locate and Alert
- Cloning a Travel Reservation
- Concur Open Booking
- Creating a Travel Reservation
Module 11: SAP Concur Concur Mobile App
- Introduction of Concur mobile app
- How to install the App for iPhone and Android phones.
- Creating the mobile pin via concur web version
- Booking Flights, hotels, and cars from Concur mobile app.
- Reviewing travel itineraries
- Attaching Receipt via mobile App
- Resolving the exception, adding attendees
- Working with E-receipt and Receipt store
- Concur mobile app settings
- Approve or reject expense report from People manager
- Adding Travel allowance and Private car mileage
- Creating expense report- Adding Cash transactions and credit card transactions
Module 12: Integrations
- Understanding SAP Concur integrations with other systems
- Setting up and configuring integrations
- Managing data exchange between SAP Concur and other systems
Module 13: Troubleshooting and support
- Understanding common issues and errors in SAP Concur
- Troubleshooting and resolving issues
- Contacting support and accessing help resources.