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Certified Business Intelligence Professional 

  • Offered byVSkills

Certified Business Intelligence Professional
 at 
VSkills 
Overview

Technological advancements can now give businesses ways to analyze data that they could never do before

Duration

12 hours

Total fee

3,499

Mode of learning

Online

Credential

Certificate

Certified Business Intelligence Professional
 at 
VSkills 
Highlights

  • Earn a certificate of completion from Vskills
  • Get Lifelong e-learning access
Details Icon

Certified Business Intelligence Professional
 at 
VSkills 
Course details

Who should do this course?
  • Job seekers looking to find employment in MIS or analytics department of various companies, students generally wanting to improve their skill set and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification.
More about this course
  • Vskills Business Intelligence certification tests the candidates on various areas in business intelligence which includes knowledge of planning, designing, implementing and maintaining the organization’s data warehouse, data mining, data analytics and data intelligence for better decision making
  • This certification will teach you the basics of business intelligence, it's application & usefulness to businesses
  • You will gain the skills to improve performance using data, statistical & quantitative analysis & predictive modeling to make important decisions
  • With such advances, organisations can make decisions more effectively about pricing, marketing, products and more than they have ever been able to in the past

Certified Business Intelligence Professional
 at 
VSkills 
Curriculum

Introduction

Evolution

Need and benefits

Technical terms

Integration

BI life cycle and management systems functions

ERP and BI

SCM and BI

E-commerce and BI

Data Management

Data Management

Reporting and Querying

BI and MDM

Knowledge Management

OLAP (Online analytical processing)

Evolution, Features and functions

Multidimensional analysis

Data drill-in and drill-up

OLAP Models (ROLAP and MOLAP) and applications

Dashboards

EIS

KPI

BI Dashboard

Data Warehousing

Dimensional modeling and metadata

ETL

Data Analytics

Concepts and terminologies

Techniques used (neural network, statistics, fuzzy logic, genetic algorithms

Value Proposition

Business intelligence economics

Cost Matrix, SLA and ROI

Risk Mitigation

Requirement Assessment

Business problem assessment

Focusing pertinent information

Desired outcome specification

Design

Data and architecture design

Hardware and Software Selection

Generate data warehouse matrix

Dimensional modeling and ETL

Implementation

Physical Design

Physical Storage (SAN, RAID, etc.)

Indexing (B-Tree, Clustered, etc.)

Data partitioning and clustering for performance

Analytics criteria selection

OLAP tools and data slicing or dicing

Post-Implementation

Security Policy, user privileges and security tools

Backup and Recovery

Monitoring and managing data growth

Performance Measurement

Observing dashboards

Assessing KPI and scorecard

Advanced BI

Future Trends

Case Studies

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Certified Business Intelligence Professional
 at 
VSkills 

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