Practical SAP Data Intelligence Training by Proximsoft

Practical SAP Data Intelligence Training

Categories SAP

Immerse yourself in the realm of data expertise with Proximsoft’s SAP Data Intelligence course. Carefully crafted by industry experts, this program unveils the intricacies of SAP Data Intelligence, providing a comprehensive understanding of data governance, processing, modeling, and cutting-edge integration technologies. Tailored for individuals of all proficiency levels, the course seamlessly blends theoretical knowledge with hands-on exercises for a practical learning experience. Acquire proficiency in state-of-the-art data technologies, positioning yourself for success in the dynamic field of data management. Elevate your skills and stay at the forefront of the ever-evolving landscape of data intelligence.

Why Learn SAP Data Intelligence?

SAP Data Intelligence offers a unified platform for managing data across different sources and environments.
It facilitates the integration of structured and unstructured data from various sources, both on-premises and in the cloud.
The platform allows users to create and automate complex data workflows, ensuring efficient data pipelines.
Centralized metadata management and cataloging enhance data understanding and governance.
Supports robust data governance practices, aiding compliance with regulations and internal policies.
Integrates with machine learning and AI technologies for advanced analytics and predictive modeling.
Enables real-time data processing, empowering timely decision-making based on up-to-date information.
Provides seamless connectivity to both SAP and non-SAP systems for a holistic view of enterprise data.

Mode of Training	Online live Interactive sessions
Duration of the Training	6 weeks
Training duration per day	60 – 90 min session
Software Access	Software will be installed/server access will be provided, whichever is possible
Training Materials	Soft copy of the material will be provided during the training
Training fee	Depends on the Requirement
Resume Preparation	Yes, at the end of the course based on the JD
Interview Preparation	Yes, by sharing some FAQ’s
Mock calls	Yes, 2 Technical Mock calls
Internship Project	Yes
Certification	Yes, at the end of the training
JOB Assistance	Yes
JOB Support	Yes


Weekdays	6AM -2 PM EST & 6-11:30 PM EST (student can pick any 1 hr)
Weekends	8 AM – 12 PM EST (student can pick any 2 hrs)

Course Content

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.

FAQ'S

SAP Data Intelligence expertise opens doors to high-demand roles in intelligent data management, enhancing career prospects across industries.

Yes, the course equips you with skills to implement machine learning for real-time analytics, providing a practical edge in data-driven decision-making.

While beneficial, the course caters to learners with varying levels of experience, ensuring accessibility for all.

Through a carefully crafted blend of theoretical concepts and hands-on exercises, the course ensures a holistic learning experience with practical application.