SAP Data Intelligence Course – The only Analytics Course you need

⏰24 hours | ▶️ 24 Videos | 📣 49 Participants | 🔥11 Reviews

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Course Description

Taking this course can give you a complete introduction to SAP Data Intelligence. You will acquire knowledge regarding the capabilities and architecture of the platform, investigate its powerful features and user interface, and study essential ideas and terminology.

You will also develop an understanding of how to efficiently employ predictive analytics and obtain insights into the data preparation, analysis, and visualisation processes.

You will also acquire the skills necessary to develop apps for advanced analytics and become proficient in deploying these applications in production.

SAP Data Intelligence is an all-encompassing and integrated platform that assists businesses in recognising, managing, and capitalising on the value of their data. It combines streaming and batch data processing with predictive and prescriptive analytics capabilities. Its robust capabilities span machine learning, streaming analytics, natural language processing, and advanced analytics.

You will also develop an understanding of how to efficiently employ predictive analytics and obtain insights into the data preparation, analysis, and visualisation processes. You will also acquire the skills necessary to develop apps for advanced analytics and become proficient in deploying these applications in production.

By the time you have completed the training, you will be able to design applications and systems that maximise the value of the data held by your organisation, facilitate improved decision-making, and achieve strategic business objectives.

This online training gives students an in-depth and all-encompassing introduction to the SAP Data Intelligence platform and its features. This course will instruct you on how to utilise the platform to handle streaming and non-streaming (batch) data, analyse complicated data from many sources, incorporate machine learning algorithms into analytics pipelines, and visualise the outcomes of your work.

Students will comprehend the fundamentals of data engineering, analytics, machine learning, and artificial intelligence (AI) in this course. As a result, they will be able to make better business decisions and gain a more complete understanding of the organization.

The first part of the training consists of an introduction to the various components of the platform, as well as a discussion of the data integration and storage options provided by the platform.

You will learn to recognise data sources, link them to the forum, ingest the data, clean it, and prepare it for analysis. Additionally, this will offer a quick introduction to data purification, data scraping, and data transformation.

Natural language processing, machine learning, and artificial intelligence (AI) are all covered in the following section. Participants will understand supervised and unsupervised machine-learning techniques for pattern identification, grouping, and classification goals.

They will also learn how to implement AI models on SAP Data Intelligence and extract relevant insights from text using the NLP examples supplied by the platform.

In the final step of this course, you will become familiar with the SAP Data Intelligence platform to develop complex analytics pipelines for streaming and non-streaming (batch) data. In addition, you will learn about the presentation of results utilising data visualisation technologies such as SAP.

Upon completion of the training, you will have the knowledge and skills necessary to confidently construct data pipelines that are intelligent, automated, and efficient, utilising the SAP Data Intelligence platform.

Features

✅Lifetime access	✅Lifetime video access
✅Real-time case studies	✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1. Overview of SAP Data Intelligence

SAP Data Intelligence Overview
Important aspects and advantages
components and architecture
Adaptation to other SAP products

2. Data Ingestion

Introduction to data ingestion
setting up and deploying data pipelines
connecting to several data sources via adapters
Apache Kafka real-time data ingestion
Recognizing more data sources
linking with data sources
Ingestion methods for data
setting up data pipelines.

3. Data Processing

Information processing overview
utilising the Graphical Pipeline Editor to transform data
Making use of R and Python scripts to process data
recognising the various data formats
SQL transformation of data
setting up data quality controls

4. Data Modeling

Introduction to data modelling
Algorithms for machine learning in data modelling
design and implementation of machine learning models
Using machine learning algorithms from SAP HANA for predictive analytics
making models for machine learning
model education and assessment
modern modelling methods.

5. Data Governance

Information about data governance
making and controlling data catalogues
Data quality control
Data protection and adherence
administration of metadata and data cataloguing
regulating data security and access
tracking and data attribution

6. Automation and Orchestration

Establishing workflows
Workflow scheduling and monitoring
Streamlining data operations

7. Advanced Analytics

Methods of predictive modeling
using data visualisation methods
analysis of live data
Analyzing data in real-time with SAP Data Intelligence.

8. Integrating SAP Solutions with Other Systems

SAP HANA adaptation
SAP Analytics Cloud with SAP Business Warehouse integration.

9. Hands-On Exercises

Exercises that put concepts gained in the course into practice
setting up and deploying data pipelines
Data modelling using machine learning techniques
Utilizing SAP Analytics Cloud to visualise data
Interactions between the course’s professionals
access to the committed teacher for advice and assistance
Resources for additional education and assistance.

10. SAP Concur Travel

Opening a Concur Travel & Expense account
Looking around the My Concur Homepage
A Current Travel Profile
Changes to a Purchased Trip
Employing Travel Templates
Sharing a Reservation for a Trip
Locate and Alert usage
Cloning a Travel Booking
Concur Open Reservation
Making a Reservation for a Trip.

11. SAP Concur Mobile App

The launch of the Concur mobile app
how to get the app onto an Android or iPhone.
Using the final online version to create the mobile pin
Flight, hotel, and automobile reservations with the Concur mobile app.
examining travel schedules
Receipt Attachment via Mobile App
fixing the issue, adding participants
Working with the Concur mobile app settings for E-receipts and Receipt stores
Accept or reject the people manager’s spending report.
Including travel expenses and personal vehicle miles
Consolidating cash and credit card purchases into an expense report

12. Integrations

Recognizing how other systems integrate with SAP Concur
Configuring and setting up integrations
overseeing the transfer of data between SAP Concur and other platforms

13. Troubleshooting and support

Recognizing typical problems and faults with SAP Concur
Identifying and resolving problems
contacting support and using available assistance.

FAQ’s

❓What is the best way to learn SAP data intelligence?

✅ It would be best to become acquainted with the architecture, fundamental features, and development possibilities of SAP Data Intelligence before you begin learning it.

❓What do you mean by SAP Data Intelligence?

✅The complete data-driven application platform SAP Data Intelligence enables the intelligent enterprise. Businesses can use it to quickly study data, deliver data-driven decisions, and provide insights.

❓How effective is SAP Data Intelligence?

✅ Yes, SAP Data Intelligence is a highly effective and well-liked platform for data intelligence. This method gathers, processes, analyses, and governs data from many sources and technologies.

❓Is SAP data intelligence an ETL Tool?

✅SAP Data Intelligence is not an ETL (Extract, Transform, and Load) tool. It is a cloud-based data intelligence platform that aids enterprises in deriving insights from their data.

❓What functions is SAP Data Intelligence able to offer?

✅ It helps enterprises simplify data and make better decisions with many capabilities. It handles complicated event processing and real-time data intake.

❓Which type of security does SAP Data Intelligence employ?

✅SAP Data Intelligence uses role-based authentication, multitenancy, isolation, and encryption. Advanced analytics optimisation and data masking avoid data leaks and protect privacy.

❓Is learning SAP data intelligence accessible?

✅ Yes, SAP Data Intelligence can be learned relatively quickly. The platform offers powerful out-of-the-box functionality and comprehensible graphical user interfaces.

❓What function does SAP data intelligence provide?

✅The platform gives customers access to open-source libraries and AI components, allows them to quickly design and deploy AI-driven apps, and integrates data from throughout the company.