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Professional Diploma in Business Intelligence

NICF - Diploma In IT Services (Database Management) Data Science

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Course Outcome

Be an SAP BI Consultant
Design, Configure and Implement Business Intelligence functionality for an enterprise
Training

Get Trained

Implement and Administer SAP Net weaver Business Warehousing System, extract data from SAP source systems, manage delta data, create Simple Queries in BEx Query Designer and create Web Applications for SAP BW using Web Application designer to become a BI Consultant.

Training

Get Experiential

With the guidance of Industry Experts, learners gain the hands-on skills in data modelling and transformation, creating queries & reports as per the business requirements in a simulated environment, as a part of the module project and capstone project.

Training

Get Hired

After successfully completing the course, learners can be expected to take up entry level SAP BW consultant jobs. 

Training

Get Certified

Upon successful course completion, the learner will be eligible to appear for SAP Certified Application Associate - Business Intelligence with SAP BW 7.3 9. In addition, a learner will also receive the following:

  • 11 NICF Statements of Attainment (SOA)  
  • NICF Diploma in IT Services (Database Management)

How You Learn

How You Learn?

Learning & Course Duration
When you enrol, you will commit to the following learning hours.

Learning Duration (GLH*) - 264.5 Hours

On Campus Hours
156.5 Hours
Off Campus Hours
108 Hours

Course Duration with Study Options

Full Time

3 Months

5 hrs a day (5 days/week) 

Part Time 

9 Months 

3 hrs a day (3 days/week) 

*Guided Learning Hours

Course Structure

Course Structure

NICF - Diploma In IT Services (Database Management)

This course provides the learner with knowledge, hands-on skills and development experience in SAP BW.

 

Learners will be able to analyze the functional specifications prepared by the SAP functional consultants and Extract and Modelling using BW.

 

Learners will acquire hands-on experience in Extraction tools (ETL), Modelling, Multidimensional design, Query designing, Web Application designing, Analysis, and Integrated Planning.

 

Learners will also apply the business intelligence concepts into different industrial applications such as Finance company, healthcare industry, telecommunication industry and service industry

 

The learner can use SAP Learning Hub & Lithan LMS for e-learning and SAP server Access for performing simulated Lab Exercises, Module Projects.

 

This course consists of following modules:

  • Introduction to Business Intelligence
  • Business Intelligence Applications
  • Data Modelling & Transformation
  • Strategic Usage of Business Intelligence
  • Business Intelligence Queries & Reports
  • Capstone Project – Business Intelligence 

Course Modules :

Outline Outline Schedule Schedule

IBI - NICF - Introduction to Business Intelligence

Outline
Schedule
Module Name

NICF - Introduction to Business Intelligence

Session Outline Activities

Session 1: Orientation & Lecture - Live (3 hrs)

The student has to attend a Live Orientation Session conducted at LA campus or go through a recording of the Orientation Session.

After the Orientation, the Lecturer will introduce the module by conducting the lectures on

  • IU 1: Introduction to SAP business warehouse
  • IU 2: Introduction to SAP S4 / HANA

Session 2: Lecture – Live (3 hrs)

The lecturer will deliver lectures & demo in the class room related to the topics of corresponding IUs:

  • IU 3: Introduction to New user experience
  • IU 4: Introduction to SAP Hana

Before session: The Student will engage in e-learning to LEARN IU1 - IU4 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 3: Lab Exercises – On Campus (3 hrs)

The Student will PERFORM activities related to  IU1, IU2, IU3 & IU4 in Server Lab environment 

Session 4: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU 5: S/4 Hana Applications
  • IU 6: Adoption of New SAP activate best practices

Before session: The Student will engage in e-learning to LEARN IU5 & IU6 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 5: Lab Exercises – On Campus (3 hrs)

The student will perform activities related to IU 5 & IU 6 in server lab environment

Session 6: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs: 

IU 7:  Intro to Embedded Analytics

IU 8: Intro to Data warehouse 

Before session: The Student will engage in e-learning to LEARN IU7 & IU8 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 7: Lab Exercises - On Campus (3 hrs)

The Student will PERFORM activities related to  IU 7 & IU 8 in Server Lab environment 

Session 8: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU 9: SAP ERP Business process Basics and navigation
  • IU 10:  SAP Business objects business Intelligence platform

Before session: The Student will engage in e-learning to LEARN IU9 & IU10 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 9: Lab Exercises - On Campus (3 hrs)

The Student will PERFORM activities related to  IU 9 & IU 10 in Server Lab environment 

Session 10: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU 11: SAP Integrated planning
  • IU 12: Intro to SAP BW powered by SAP HANA

Before session: The Student will engage in e-learning to LEARN IU11 & IU12 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 11: Lab Exercises - On Campus (3 hrs)

The Student will PERFORM activities realted to IU11 & IU12 in Server Lab environment 

Session 12: Tutoring - Live (3 hrs)

  • Student should present the project up to Milestone 1 and seek tutor’s feedback.
  • Student can seek support & guidance for the milestone 2  of the project
  • Tutor will provide necessary feedback & guidance

Before session:

  • Student will be given a project brief  which comprises few task in server environment
  • Student should complete the task up to the milestone 1 (Off campus – 3 hrs)
  • Student can seek online support if needed

Session 13: Project Implementation – Off campus (3 hrs)

Module Project – Implementation -2

  • Student should complete the task up to the milestone 2
  • Student can seek online support if needed

Session 14: Summative Assessment (4 hrs)

Students will attempt a Theory Test (1 hr) & Practical Test (2 hrs, 45 mins)

During session: Assessor will asses the student through oral questions (15 mins) and provide review and feedback

Module Name

NICF - Introduction to Business Intelligence

Competency Unit

IT-DM-401S-1 (IBI) : Build a database

By end of this module, the learner should be able to gain the following knowledge:

  • Introduction to SAP Business Warehouse systems 
  • Components of SAP BW Data Warehousing Workbench
  • Knowledge of S4/Hana
  • Introduction to SAP BOBI (SAP Business Objects Business Intelligence)
  • Intro to SAP BW powered by SAP HANA

By end of this module, the learner should be able to perform the following activities:

  • Define the outline of Business intelligence Star Schema
  • Define the adoption of new SAP best practices
  • Navigate in SAP Launch pad
  • Navigate in SAP ABAP Planning Modeller

BIA - NICF - Business Intelligence Applications

Outline
Schedule
Module Name

NICF - Business Intelligence Applications

Session Outline Activities

Session 1: Orientation & Lecture - Live (3 hrs)

The student has to attend a Live Orientation Session conducted at LA campus or go through a recording of the Orientation Session.

After the Orientation, the Lecturer will introduce the module by conducting the lectures on:

  • IU1: BI Application – Finance - Data mining, Evolution, Components of Data Mining Analysis
  • IU2: BI Application – Finance - Forecasting Applications, Case Study Discussions

Session 2: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU3: BI Application - Finance, Sales Marketing, Sales Forecasting, Web Analysis
  • IU4: BI Application – Healthcare Needs for BI, Challenges & Barriers, Benefits 

Before session: The Student will engage in e-learning to LEARN IU1 - IU4 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 3: Lab Exercises - On Campus (3 hrs)

The Student will PERFORM activities related to  IU1, IU2, IU3 & IU4 in Server Lab environment 

Session 4: Lecture (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs: 

  • IU 5: BI Application – Services, Needs for BI Retail, Key Measures for Retail
  • IU 6: BI Application – Services Barriers and Adoption, IT systems in Retail

Before session: The Student will engage in e-learning to LEARN IU5 & IU6 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 5: Lab Exercises - On Campus (3 hrs)

The Student will PERFORM activities related to  IU 5 & IU 6 in Server Lab environment 

Session 6: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU7: BI Application – Telecom Overview, CRM, Value chain, Forecasting Roadmap
  • IU8: BI Application – Telecom, Telecom Finance and Asset Management, Human Resource Analysis, Major Tools

Before session: The Student will engage in e-learning to LEARN IU7 & IU8 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 7: Lab Exercises - On Campus (3 hrs)

The Student will PERFORM activities related to IU 7 & IU 8 in Server Lab environment 

Session 8: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU 9: BI Best Practices, Blue Printing, Gap & Conflict Analysis
  • IU 10: BI Best Practices - Ranking Opportunities, Data Specific Considerations

Before session: The Student will engage in e-learning to LEARN IU9 & IU10 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 9: Lab Exercises - On Campus (3 hrs)

The Student will PERFORM activities related to IU 9 & IU 10  in Server Lab environment 

Session 10: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU 11: Case study Presentation 
  • IU 12: Case study Presentation 

Before session: The Student will engage in e-learning to LEARN IU11 & IU12 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 11: Lab Exercises - On Campus (3 hrs)

The Student will PERFORM activities related to IU 11 & IU 12 in Server Lab environment 

Session 12: Tutoring - Live (3 hrs)

  • Student should present the project up to Milestone 1 and seek tutor’s feedback.
  • Student can seek support & guidance for the milestone 2  of the project
  • Tutor will provide necessary feedback & guidance

Before session:

  • Student will be given a project brief  which comprises few task in server environment
  • Student should complete the task up to the milestone 1 (Off campus – 3 hrs)
  • Student can seek online support if needed

Session 13: Project Implementation – Off campus (3 hrs)

Module Project – Implementation -2

  • Student should complete the task up to the milestone 2
  • Student can seek online support if needed

Session 14: Summative Assessment (4 hrs)

Students will attempt a Theory Test (1 hr) & Practical Test (2 hrs, 45 mins)

During session: Assessor will asses the student through oral questions (15 mins) and provide review and feedback

Module Name

NICF - Business Intelligence Applications

Competency Unit

IT-DM-402S-1 (BIA) : Identify physical database requirements

IT-AS-401S-1 (BIA) : Analyse and Troubleshoot application problem (3 Credit Values)

IT-AS-402S-1 BIA : Generate and review application support report

By end of this module, the learner should be able to gain the following knowledge:

  • Components of Data Mining solutions
  • Concepts of text mining, data mining
  • Data mining Emerging trends
  • Needs for BI in health care industries
  • Key measures for BI  retail
  • BI application for Telecomm industry

By end of this module, the learner should be able to perform the following activities:

  • Forecast the BI application in finance industries
  • Draw a BI architecture for Health care, Finance industries
  • Prepare a BI blue print for Telecomm industries
  • Perform Gap & Conflict Analysis for Service Industries
  • Discuss the BI  best practices for Retail industry
  • Prepare BI reports
  • List the BI value chain for telecomm industry

 

DMT - NICF - Data Modelling & Transformation

Outline
Schedule
Module Name

NICF - Data Modelling & Transformation

Session Outline Activities

Session 1: Orientation & Lecture - Live (3 hrs)

The student has to attend a Live Orientation Session conducted at LA campus or go through a recording of the Orientation Session.

After the Orientation, the Lecturer will introduce the module by conducting the lectures on:

  • IU1: Introduction to SAP Data Warehousing
  • IU2: Introduction to Enterprise Data Warehouse (EDW) Architecture

Session 2: Lecture – Live (3 hrs)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs :

  • IU3: Master Data Modelling in SAP BW
  • IU4: Loading of Master Data  Attributes/Texts  from SAP Data Sources 

Before session: The Student will engage in e-learning to LEARN IU1 - IU4 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 3: Lab Exercises – On Campus (3 hrs)

 The Student will PERFORM activities realted to IU1 – IU4  in Server Lab environment 

Session 4: Lecture – Live (3 hrs)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs :

  • IU5: Loading of Transaction  Data from SAP Data Sources
  • IU6: Modeling of DSO and Modeling RDA(Real Time Data Acquisition)

Before session: The Student will engage in e-learning to LEARN IU5 & IU6 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 5: Lab Exercises – On Campus (3 hrs)

The Student will PERFORM activities realted to IU5 &  IU6  in Server Lab environment 

Session 6: Lecture – Live (3 hrs)

 The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU7: Intro to Multi-Dimensional Modeling Star Schema
  • IU8: Advanced Multi-Dimensional Modeling Star Schema

Before session: The Student will engage in e-learning to LEARN IU7 & IU8 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 7: Lab Exercises - On Campus (3 hrs)

 The Student will PERFORM activities realted to IU7 & IU8 in Server Lab environment 

Session 8: Lecture – Live (3 hrs)

 The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs :

  • IU9: Enhanced Info Provider Modeling using Multi providers and Info sets
  • IU10: Enhanced Info Provider Modeling  using SPO and Hybrid Providers

Before session: The Student will engage in e-learning to LEARN IU9 & IU10 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 9: Lab Exercises - On Campus (3 hrs)

 The Student will PERFORM activities realted to IU9 & IU10 in Server Lab environment 

Session 10: Lecture – Live (3 hrs)

 The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs :

  • IU11: Loading of Master Data Attributes/Texts  for Flat File Source System
  • IU12: Re-modelling and BW Administration 

Before session: The Student will engage in e-learning to LEARN IU11 & IU12 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 11: Lab Exercises - On Campus (3 hrs)

 The Student will PERFORM activities realted to IU11 & IU12 in Server Lab environment 

Session 12: Tutoring - Live (3 hrs)

  • Student should present the project up to Milestone 1 and seek tutor’s feedback.
  • Student can seek support & guidance for the milestone 2  of the project
  • Tutor will provide necessary feedback & guidance

Before session:

  • Student will be given a project brief  which comprises few task in server environment
  • Student should complete the task up to the milestone 1 (Off campus – 3 hrs)
  • Student can seek online support if needed

Session 13: Project Implementation – Off campus (3 hrs)

Module Project – Implementation -2

  • Student should complete the task up to the milestone 2
  • Student can seek online support if needed

Session 14: Summative Assessment (4 hrs)

Students will attempt a Theory Test (1 hr) & Practical Test (2 hrs, 45 mins)

During session: Assessor will asses the student through oral questions (15 mins) and provide review and feedback

Module Name

NICF - Data Modelling & Transformation

Competency Unit

IT-DE-502S-1 : Design extract, transform and load (ETL) process (3 Credit Values)

IT-DM-406S-1 : Determine that database functionality and scalability suit business requirements (2 Credit Values)

By end of this module, the learner should be able to gain the following knowledge:

  • Introduction to Data Warehouse systems and its LSA (Layered Scalable Architecture)
  • Components of SAP BW Data Warehousing Workbench
  • Overview of Multi Dimensional Modelling and Extended Star Schema in SAP BW 
  • Master Data Modelling in SAP BW
  • Loading of Master Data and Transaction Data from SAP Data sources
  • Loading data  from Flat file Data sources
  • Overview of Info Providers in SAP BW

By end of this module, the learner should be able to perform the following activities:

  • Define the outline of Business intelligence Star Schema
  • Define the Graphical Data Flow and Model the ETL (Extraction, Transformation and Loading)
  • Extract Master Data and Transaction Data from SAP Data Sources
  • Extract data from Flat file Source System
  • Create Infoobjects in SAP BW using Data Warehousing Workbench
  • Create Infoproviders such as DSO, Infocubes
  • Modelling on Multiproviders, Infosets, Virtual Providers 

SBI - NICF - Strategic Use of Business Intelligence

Outline
Schedule
Module Name

NICF - Strategic Use of Business Intelligence

Session Outline Activities

Session 1: Orientation & Lecture - Live (3 hrs)

The student has to attend a Live Orientation Session conducted at LA campus or go through a recording of the Orientation Session.

After the Orientation, the Lecturer will introduce the module by conducting the lectures on:

  • IU1: SAP BW Data Acquisition Process Overview  
  • IU2: Data Acquisition Process using RDA and Direct Access

Session 2: Lecture – Live (3 hrs)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs :

  • IU3: Data Acquisition using SAP Service API  using BI content and Generic Data sources
  • IU4: Intro to Logistics Data Extraction 

Before session: The Student will engage in e-learning to LEARN IU1 - IU4 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 3: Lab Exercises – On Campus (3 hrs)

 The Student will PERFORM activities realted to IU1 – IU4  in Server Lab environment 

Session 4: Lecture – Live (3 hrs)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs :

  • IU5: Configuring Logistics Data Extraction
  • IU6: Delta Data Flow Management

Before session: The Student will engage in e-learning to LEARN IU5 & IU6 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 5: Lab Exercises – On Campus (3 hrs)

 The Student will PERFORM activities realted to IU5 &  IU6  in Server Lab environment 

Session 6: Lecture – Live (3 hrs)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU7: Data Acquisition using File , DB connect and UD Connect
  • IU8: Data Mart Interface and OpenHub

Before session: The Student will engage in e-learning to LEARN IU7 & IU8 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 7: Lab Exercises - On Campus (3 hrs)

 The Student will PERFORM activities realted to IU7 & IU8 in Server Lab environment 

Session 8: Lecture – Live (3 hrs)

 The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs :

  • IU9: Data Acquisition using Data Services
  • IU10: Data Acquisition with ODP and SLT

Before session: The Student will engage in e-learning to LEARN IU9 & IU10 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 9: Lab Exercises - On Campus (3 hrs)

 The Student will PERFORM activities realted to IU9 & IU10 in Server Lab environment 

Session 10: Lecture – Live (3 hrs)

 The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs :

  • IU11: XML - Based Data Acquisition using Daemon and DSO
  • IU12: XML - Based Data Acquisition  using  Hybrid Provider

Before session: The Student will engage in e-learning to LEARN IU11 & IU12 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 11: Lab Exercises - On Campus (3 hrs)

 The Student will PERFORM activities realted to IU11 & IU12 in Server Lab environment 

Session 12: Tutoring - Live (3 hrs)

  • Student should present the project up to Milestone 1 and seek tutor’s feedback.
  • Student can seek support & guidance for the milestone 2  of the project
  • Tutor will provide necessary feedback & guidance

Before session:

  • Student will be given a project brief  which comprises few task in server environment
  • Student should complete the task up to the milestone 1 (Off campus – 3 hrs)
  • Student can seek online support if needed

Session 13: Project Implementation – Off campus (3 hrs)

Module Project – Implementation -2

  • Student should complete the task up to the milestone 2
  • Student can seek online support if needed

Session 14: Summative Assessment (4 hrs)

Students will attempt a Theory Test (1 hr) & Practical Test (2 hrs, 45 mins)

During session: Assessor will asses the student through oral questions (15 mins) and provide review and feedback

Module Name

NICF - Strategic Use of Business Intelligence

Competency Unit

IT-RG-401S-1 (SUBI) : Determine business expectations and needs

By end of this module, the learner should be able to gain the following knowledge:

  • Introduction to Data Extraction using Delta management
  • Different types of Source systems
  • Overview of Delta extraction using many source system
  • Defining and configuring Logistics Extraction
  • Concepts of Data Extraction using SLT (System Landscape Transformation)
  • Concepts of UD (Universal Data Connect) and DB connect
  • Concepts of Web services

By end of this module, the learner should be able to perform the following activities:

  • Extraction of Data using Delta management techniques
  • Configure Logistics Extraction with Delta Mode
  • Load Data directly without PSA (Persistent Staging Area)
  • Replicate data from SAP Source systems
  • Creating delta enables File data sources
  • Design XML based extraction using WEB SERVICES

BIQ - NICF - Business Intelligence Queries & Reports

Outline
Schedule
Module Name

NICF - Business Intelligence Queries & Reports

Session Outline Activities

Session 1: Orientation & Lecture - Live (3 hrs)

The student has to attend a Live Orientation Session conducted at LA campus or go through a recording of the Orientation Session.

After the Orientation, the Lecturer will introduce the module by conducting the lectures on:

  • IU1: SAP BEx Query Designer
  • IU2: SAP BEx Analyzer 

Session 2: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU3: SAP Business Objects Business Intelligence Platform
  • IU4: SAP Business Objects Web Intelligence

Before session: The Student will engage in e-learning to LEARN IU 1- IU 4  (3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 3: Lab exercises Off campus (3 Hours)

The Student will PERFORM activities related to  IU 1 - IU 4 in Server Lab environment 

Session 4: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU5: SAP Crystal Reports
  • IU6: SAP Business Objects Analysis

Before session: The Student will engage in e-learning to LEARN IU 5 & IU 6  (3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 5: Lab exercises Off campus (3 Hours)

The Student will PERFORM activities related to IU 5 & IU 6 in Server Lab environment 

Session 6: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU7: SAP Business Objects Dashboards
  • IU8: SAP Business Objects Explorer

Before session: The Student will engage in e-learning to LEARN IU7 & IU8 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 7: Lab exercises On campus (3 Hours)

The Student will PERFORM activities related to  IU 7 & IU 8 in Server Lab environment 

Session 8: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo  in the class room related to the topics of corresponding IUs:

  • IU 9: Introduction to the Information Design Tool 
  • IU 10: Creating the Data Foundation  

Before session: The Student will engage in e-learning to LEARN IU9 & IU10 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 9: Lab exercises On Campus (3 Hours)

The Student will PERFORM activities related to  IU 9 & IU 10 in Server Lab environment 

Session 10: Lecture - Live (3 Hours)

The lecturer will deliver lectures & demo in the class room related to the topics of corresponding IUs:

  • IU 11: Creating a Business Layer and resolve loops in Universe
  • IU 12: Apply restrictions and Using List of Values and Parameters

Before session: The Student will engage in e-learning to LEARN IU11 & IU12 (off campus - 3 hrs)

The Student should complete self-assessments

Student can approach Online Support for any queries or guidance

Session 11: Lab exercises (3 Hours)

The Student will PERFORM activities related to IU 11 & IU 12 in Server Lab environment 

Session 12: Tutoring - Live (3 hrs)

  • Student should present the project up to Milestone 1 and seek tutor’s feedback.
  • Student can seek support & guidance for the milestone 2  of the project
  • Tutor will provide necessary feedback & guidance

Before session:

  • Student will be given a project brief  which comprises few task in server environment
  • Student should complete the task up to the milestone 1 (Off campus – 3 hrs)
  • Student can seek online support if needed

Session 13: Project Implementation – Off campus (3 hrs)

Module Project – Implementation2

  • Student should complete the task up to the milestone 2
  • Student can seek online support if needed

Session 14: Summative Assessment (4 hrs)

Students will attempt a Theory Test (1 hr) & Practical Test (2 hrs, 45 mins)

During session: Assessor will asses the student through oral questions (15 mins) and provide review and feedback

Module Name

NICF - Business Intelligence Queries & Reports

Competency Unit

IT-RG-402S-1 (BI) : Gather data to identify business requirements (2 Credit Values)

IT-IM-302S-1 : Analyse data and generate reports (2 Credit Values)

By end of this module, the learner should be able to gain the following knowledge:

  • Introduction to SAP Business Objects Business Intelligence Platform
  • Concepts of BEx Queries and Analysis tools such as BEx(Business Explorer) Query designer, Analyzer
  • Concepts of Variables , Exceptions, Conditions in Queries 
  • Concepts of Web Intelligence, Crystal Reports 
  • Overview of Business Objects Analysis , BO Explorer
  • Introduction to Information Design tool , Data foundation and Business Layer

By end of this module, the learner should be able to perform the following activities:

  • Execute Query using Bex Query Designer
  • Create Simple Queries and configure Query properties
  • Create a Web Intelligence document with advanced functions on an universe
  • Create a new report in SAP Crystal Reports for Enterprise on an universe
  • Create a workspace with Analysis, OLAP edition on a SAP BEx query
  • Create a dashboard model with a Microsoft Excel data source using basic Dashboards functions
  • Create a connection to the database and Create joins in the Data Foundation
  • Create a Business Layer 

BI -SG - NICF - Capstone Project - Business Intelligence

Outline
Schedule
Module Name

NICF - Capstone Project - Business Intelligence

Session Outline Activities

Session 1: Orientation & Lecture - Live (3 hrs)

The student has to attend a Live Orientation Session conducted at LA campus

The Tutor will explain the project brief,  guidelines and expectations.

Session 2: Tutoring - Live (3 hrs)

The Student will present the project what they have completed until Milestone 1 to the tutor  and seek feedback & support 

Before session:The student will IMPLEMENT tasks related to milestone 1 of the project (off campus - 3 hrs)

Session 3: Tutoring - Live (3 hrs)

The Student will present the project what they have completed until Milestone 2 to the tutor  and seek feedback & support 

Before session:The student will IMPLEMENT tasks related to milestone 2 of the project (off campus - 3 hrs)

Session 4: Tutoring - Live (3 hrs)

The Student will present the project what they have completed until Milestone 3 to the tutor  and seek feedback & support 

Before session:The student will IMPLEMENT tasks related to milestone 3 of the project (off campus - 3 hrs)

Session 5: Tutoring - Live (3 hrs)

The Student will present the project what they have completed until Milestone 4 to the tutor  and seek feedback & support 

Before session:The student will IMPLEMENT tasks related to milestone 4 of the project (3 hrs)

Session 6: Tutoring - Live (3 hrs)

The Student will present the project what they have completed until Milestone 5 to the tutor  and seek feedback & support 

Before session:The student will IMPLEMENT tasks related to milestone 5 of the project (off campus - 3 hrs)

Session 7: Tutoring - Live (3 hrs)

The Student will present the project what they have completed until Milestone 6 to the tutor  and seek feedback & support 

Before session:The student will IMPLEMENT tasks related to milestone 6 of the project (off campus - 3 hrs)

Session 8: Tutoring - Live (3 hrs)

The Student will present the project what they have completed until Milestone 7 to the tutor  and seek feedback & support 

Before session:The student will IMPLEMENT tasks related to milestone 7 of the project (off campus - 3 hrs)

Session 9: Tutoring - Live (3 hrs)

The Student will present the project what they have completed until Milestone 8 to the tutor  and seek feedback & support 

Before session:The student will IMPLEMENT tasks related to milestone 8 of the project (off campus - 3 hrs)

Session 10: Tutoring - Live (3 hrs)

The Student will present the project what they have completed until Milestone 9 to the tutor  and seek feedback & support 

Before session:The student will IMPLEMENT tasks related to milestone 9 of the project (off campus - 3 hrs)

Session 12: Summative Assessment (30 mins)

Assessor will review and provide feedback (15 minutes)

During session:The Student will make the final presentation (15 minutes)

Module Name

NICF - Capstone Project - Business Intelligence

Competency Unit

IT-DM-407S-1 (IBI) : Design a data warehouse

By end of this module, the learner should be able to gain the following knowledge:

  • Introduction to SAP Business Warehouse systems 
  • Components of SAP BW Data Warehousing Workbench
  • Knowledge of S4/Hana
  • Introduction to SAP BOBI (SAP Business Objects Business Intelligence)
  • Intro to SAP BW powered by SAP HANA
  • Introduction to SAP Business Warehouse systems 
  • Components of SAP BW Data Warehousing Workbench
  • Knowledge of S4/Hana
  • Introduction to SAP BOBI (SAP Business Objects Business Intelligence)
  • Intro to SAP BW powered by SAP HANA

By end of this module, the learner should be able to perform the following activities:

  • Define the outline of Business intelligence Star Schema
  • Define the adoption of new SAP best practices
  • Navigate in SAP Launch pad
  • Navigate in SAP ABAP Planning Modeler

Who Should Attend

Ideal Candidates

Entry requirements

Minimum Age: 21 Years

 

Academic Level: "A" level with 2 years of working experience in the relevant fields

 

Language proficiency: IELTS 6.5 or its equivalent

Who Should Attend

  • Persona

    IT or Non-IT Professionals who want to pursue a career in Designing, Configuring and Implementing Business Intelligence functionality

  • Persona

    IT or Non-IT Professionals who want to pursue a career in Designing, Configuring and Implementing Business Intelligence functionality

Advance Your Career

Advance Your Career

SSG Funding Programme Options

Career

SSG Professional Conversion Programme (Place & Train) (CAT A Funding)

Based on a pre-course assessment, you will get an opportunity to attend interviews with prospective employers. If you are selected by an employer who can avail the course fee grant from SSG, you can join the employer as a SAP BI Consultant during the course

Career

Train & Place Programme with CAT A funding

After qualifying through a pre-course assessment, you can join the course, with a course free grant from SSG. After completing the course, you will get opportunities to attend interviews with prospective employers for SAP BI Consultant job role

Grad Requirements

Graduation Requirements

To graduate from this course, the learner should meet the following criteria:

  • Minimum attendance of 75% for all Sessions in each of the modules of the qualification
  • Should be assessed Competent (C) in each of the modules of the qualification

Certificates

Certificates

Following certifications will be awarded to the participant upon meeting the graduation requirements:

  1. Statement of Attainment by SSG, Singapore: IT-DM-401S-1 Build a database
  2. Statement of Attainment by SSG, Singapore: IT-AS-401S-1 Analyse and Troubleshoot application problem
  3. Statement of Attainment by SSG, Singapore: IT-DM-402S-1 Identify physical database requirements
  4. Statement of Attainment by SSG, Singapore: IT-AS-402S-1 Generate and review application support report
  5. Statement of Attainment by SSG, Singapore: IT-DE-502S-1 Design extract, transform and load (ETL)
  6. Statement of Attainment by SSG, Singapore: IT-DM-406S-1 Determine that database functionality and scalability suit business requirements
  7. Statement of Attainment by SSG, Singapore: IT-RG-401S-1 Determine business expectations and needs
  8. Statement of Attainment by SSG, Singapore: IT-IM-303S-1 Implement data management process
  9. Statement of Attainment by SSG, Singapore: IT-RG-402S-1 Gather data to identify business requirements
  10. Statement of Attainment by SSG, Singapore: IT-IM-302S-1 Analyse data and generate reports
  11. Statement of Attainment by SSG, Singapore: IT-DM-407S-1 Design a data warehouse
  12. NICF - Diploma in IT Services (Database Management)

Course Fees & Funding

Course Fees & Funding
(All fees stated below, are in SGD)

For Self-sponsored Individuals

Category of Individuals
Type Singapore PR & Singapore Citizen Age >= 21 Singapore Citizen Age >= 40 Singapore Citizen Age >= 35 & earning <= 2000.00/month
Course Fee 18000.0 18000.0 18000.0
Less: SkillsFuture Funding 12600.0 12600.0 12600.0
Course Fee after SkillsFuture Funding 5400.0 5400.0 5400.0
Add: GST (7%) 378.00000000000006 378.00000000000006 378.00000000000006
Course Fee after GST 5778.0 5778.0 5778.0
Add: Fee Protection Scheme (inclusive of GST) 0.0 0.0 0.0
Less: Workfare Training Scheme (WTS) 0.0 0.0 4500.0
Less: SkillsFuture Mid-Career Enhanced Subsidy (SFMCES) 0.0 3600.0 0.0
Total Fee Payable to Lithan 5778.0 2178.0 1278.0

For Company sponsored

Type of Companies
Type Non-SME & Singapore PR & Singapore Citizen Age >= 21 SME & Singapore PR & Singapore Citizen Age >= 21 SME & Singapore Citizen Age >= 35 & earning <= 2000.00/month
Course Fee 18000.0 18000.0 18000.0
Less: SkillsFuture Funding 12600.0 12600.0 12600.0
Course Fee after SkillsFuture Funding 5400.0 5400.0 5400.0
Add: GST (7%) 378.00000000000006 378.00000000000006 378.00000000000006
Course Fee after GST 5778.0 5778.0 5778.0
Add: Fee Protection Scheme (inclusive of GST) 0.0 0.0 0.0
Less: Workfare Training Scheme (WTS) 0.0 0.0 0.0
Less: SkillsFuture Mid-Career Enhanced Subsidy (SFMCES) 0.0 0.0 4500.0
Total Fee Payable to Lithan 5778.0 5778.0 1278.0
Note : SME can claim additional 20% of full gross fee under Enhanced Training Support Subsidy (ETSS) where applicable.
Fee Description

Miscellaneous Fees

Miscellaneous Fee (applicable to all individuals)
Medical Insurance (option)* 96.00 - Payable upon approval of request
Deferment Admin Fee* 160.50 - Payable upon approval of request
Re-module Fee* 0.00 - Refer to Modular course fee which is available on Lithan’s website
Re-sit Exam Fee* 107.00 - Payable upon approval of request
Change of Assessment Date Fee* 64.20 - Payable upon approval of request

For Self-sponsored Individuals

Category of Individuals
Singapore Citizen Age >= 35 & earning <= 2000.00/month
Course Fee 18000.0
Less: SkillsFuture Funding 12600.0
Course Fee after SkillsFuture Funding 5400.0
Add: GST (7%) 378.00000000000006
Course Fee after GST 5778.0
Add: Fee Protection Scheme (inclusive of GST) 0.0
Less: Workfare Training Scheme (WTS) 4500.0
Less: SkillsFuture Mid-Career Enhanced Subsidy (SFMCES) 0.0
Total Fee Payable to Lithan 1278.0
Singapore Citizen Age >= 40
Course Fee 18000.0
Less: SkillsFuture Funding 12600.0
Course Fee after SkillsFuture Funding 5400.0
Add: GST (7%) 378.00000000000006
Course Fee after GST 5778.0
Add: Fee Protection Scheme (inclusive of GST) 0.0
Less: Workfare Training Scheme (WTS) 0.0
Less: SkillsFuture Mid-Career Enhanced Subsidy (SFMCES) 3600.0
Total Fee Payable to Lithan 2178.0
Singapore PR & Singapore Citizen Age >= 21
Course Fee 18000.0
Less: SkillsFuture Funding 12600.0
Course Fee after SkillsFuture Funding 5400.0
Add: GST (7%) 378.00000000000006
Course Fee after GST 5778.0
Add: Fee Protection Scheme (inclusive of GST) 0.0
Less: Workfare Training Scheme (WTS) 0.0
Less: SkillsFuture Mid-Career Enhanced Subsidy (SFMCES) 0.0
Total Fee Payable to Lithan 5778.0

For Company sponsored

Type of Companies
SME & Singapore Citizen Age >= 35 & earning <= 2000.00/month
Course Fee 18000.0
Less: SkillsFuture Funding 12600.0
Course Fee after SkillsFuture Funding 5400.0
Add: GST (7%) 378.00000000000006
Course Fee after GST 5778.0
Add: Fee Protection Scheme (inclusive of GST) 0.0
Less: Workfare Training Scheme (WTS) 0.0
Less: SkillsFuture Mid-Career Enhanced Subsidy (SFMCES) 4500.0
Total Fee Payable to Lithan 1278.0
SME & Singapore PR & Singapore Citizen Age >= 21
Course Fee 18000.0
Less: SkillsFuture Funding 12600.0
Course Fee after SkillsFuture Funding 5400.0
Add: GST (7%) 378.00000000000006
Course Fee after GST 5778.0
Add: Fee Protection Scheme (inclusive of GST) 0.0
Less: Workfare Training Scheme (WTS) 0.0
Less: SkillsFuture Mid-Career Enhanced Subsidy (SFMCES) 0.0
Total Fee Payable to Lithan 5778.0
Note : SME can claim additional 20% of full gross fee under Enhanced Training Support Subsidy (ETSS) where applicable.
Non-SME & Singapore PR & Singapore Citizen Age >= 21
Course Fee 18000.0
Less: SkillsFuture Funding 12600.0
Course Fee after SkillsFuture Funding 5400.0
Add: GST (7%) 378.00000000000006
Course Fee after GST 5778.0
Add: Fee Protection Scheme (inclusive of GST) 0.0
Less: Workfare Training Scheme (WTS) 0.0
Less: SkillsFuture Mid-Career Enhanced Subsidy (SFMCES) 0.0
Total Fee Payable to Lithan 5778.0

Miscellaneous Fees

Miscellaneous Fee (applicable to all individuals)
Medical Insurance (option)* 96.00 - Payable upon approval of request
Deferment Admin Fee* 160.50 - Payable upon approval of request
Re-module Fee* 0.00 - Refer to Modular course fee which is available on Lithan’s website
Re-sit Exam Fee* 107.00 - Payable upon approval of request
Change of Assessment Date Fee* 64.20 - Payable upon approval of request

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