Business Intelligence

Overview

Business Intelligence (BI) refers to technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. The purpose of business intelligence is to support better business decision-making. This course provides an overview of the technology of BI and the application of BI to an organization’s strategies and goals

Business Intelligence Course Modules

  • 1.1 Overview of Business Intelligence
  • 1.2 Meaning, Definition, and Importance
  • 1.3 Challenge of Decision Making
  • 1.4 Business Intelligence Value Proposition
  • 1.5 Combination of Business and Technology
  • 2.1 Data Warehousing
  • 2.2 Data Marts and Analytical Data
  • 2.3 Organization of the Data Warehouse
  • 2.4 Enterprise Resource Planning
  • 2.5 Distributing the Enterprise
  • 2.6 First ERP, then Business Intelligence
  • 2.7 Customer Relationship Management
  • 2.8 CRM, ERP, and Business Intelligence
  • 2.9 Customer Decisions
  • 2.10 Business Intelligence and Financial Information
  • 3.1 Enterprise and Departmental Business Intelligence
  • 3.2 Strategic and Tactical Business Intelligence
  • 3.3 Power and Usability in Business Intelligence
  • 3.4 Finding the Right Spot on the Continuum
  • 3.5 Business Intelligence: Art or Science?
  • 4.1 Context Analysis
  • 4.2 Business Performance Management
  • 4.3 Business Process Discovery
  • 4.4 Information System
  • 4.5 Organizational Intelligence
  • 4.6 Data Visualization
  • 4.7 Data Profiling
  • 4.8 Data Cleansing
  • 4.9 Process Mining
  • 4.10 Competitive Intelligence
  • 5.1 Querying and Reporting
  • 5.2 Reporting and Querying Toolkits
  • 5.3 Basic Approaches
  • 5.4 Building Ad-Hoc Queries
  • 5.5 Building On-Demand Self-Service Reports
  • 5.6 Enhancing and Modifying
  • 5.7 Data Access
  • 5.8 Pull-Oriented Data Access
  • 5.9 Push-Oriented Data Access
  • 5.10 Dashboards
  • 5.11 EIS Is the Engine
  • 5.12 Metric System and KPIs
  • 5.13 Business Intelligence Dashboards
  • 6.1 Overview of OLAP
  • 6.2 OLAP and OLTP
  • 6.3 Operational Data Stores
  • 6.4 Variations in Data and Approach
  • 6.5 OLAP Applications and Functionality
  • 6.6 OLAP Architecture
  • 6.7 Data Mining
  • 7.1 Operational Intelligence
  • 7.2 Business Activity Monitoring
  • 7.3 Complex Event Processing
  • 7.4 Business Process Management
  • 7.5 Metadata Analysis
  • 7.6 Root Cause Analysis

Capstone Project: Business Intelligence

The Business Intelligence Capstone Project allows you to apply what you have learned about how to formulate data-driven decisions to a real business challenge faced by global technology companies like Yahoo, Google, and Facebook. At the end of this Capstone, you'll be able to ask the right questions of the data, and know-how to use data effectively to address business challenges of your own. The Business Intelligence capstone project provides the chance for you to devise a plan of action for optimizing data itself to provide key insights and analysis, and to describe the interaction between key financial and non-financial indicators. Once you complete your analysis, you'll be better prepared to make better data-driven business decisions of your own.

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Program Details

By the end of this course, students will:

  • Understand the core concepts and importance of business intelligence
  • Inculcate knowledge about the business intelligence value proposition
  • Able to gather, organize, analyze and visualize data
  • Discover how to find trends, market conditions, and research competitor positioning
  • Create powerful professional visualizations using tools and technology
  • Extract data from a database writing your queries
  • Gain in-depth knowledge and expertise in data warehousing
  • Know the difference between enterprise and departmental business intelligence
  • Understand the importance of business intelligence user interfaces
  • Inculcate comprehensive knowledge and understanding of operational intelligence and various tech-components
  • Gain clarity on the spectrum of business intelligence

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