Training Business Intelligence and Decision Making

Training Business Intelligence and Decision Making

INTRODUCTION

Business Intelligence (BI) enables an organization to take all its capabilities, convert them to knowledge, and get the right information to the right people, at the right time via the right channel. This produces large amounts of information that, when harnessed, can develop new opportunities for a company. Business Intelligence uses technologies, processes and applications to analyze internal, structured data and business processes while competitive intelligence gathers, analyzes, and disseminates information. Business Intelligence supports better decision making and can be called a decision support system (DSS).

PROGRAMME OBJECTIVES

• Understanding the importance of data mining and its application in business
• Exploring data mining methods and techniques for classification, segmentation, association, prediction, forecasting, and sequencing
• Building, running, and validating data mining tools and interpreting the results
• Investigaing the tools and processes for conducting text analytics
• Learning how web content, structure, and logs can be mined for extracting useful information
• Designing, implementing, manipulating, and managing databases 

WHO SHOULD ATTEND?

• Executives
• Managers
• Supervisors
• Anyone who is or will be responsible for Business Intelligence and Decision Making

PROGRAM OUTLINE

• Defining Business Intelligence (BI)
  • Mapping the business intelligence process
  • Making the business case for BI
  • Identifying the barriers to BI implementation
  • New BI terminology
  • Six challenges of BI
  
  

• Building a BI Road Map
  • Evaluating business readiness for BI
  • Assessing BI maturity levels
  • Business analysis and the BI road map
  • Stating desired outcome for a given situation
  • Overcoming common BI challenges

• Reviewing the Technical Infrastructure
  • Enabling and facilitating technologies for BI
  • Structured vs. unstructured data
  • Identifying critical and variable attributes

• Establishing a Data Governance Framework
  • Aligning with management standards and strategy
  • Protecting your data
  • Measuring data quality
  • Integrating enterprise architecture and BI

• Designing and Planning BI Processes
• Building your BI strategy
• Investigating the business advantages of strategic vs. tactical organisational situation
• Starting BI with outcome-driven processes
• Articulating well-formed outcomes