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31 - DAB- Data Analytics & Business Intelligience
DAB 410 - Business Intelligence and Decision Making
| Code | Start Date | Duration | Venue | |
|---|---|---|---|---|
| DAB 410 | 28 October 2024 | 5 Days | Istanbul | Registration Form Link |
| DAB 410 | 02 December 2024 | 5 Days | Istanbul | Registration Form Link |
Course Description
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).
Course 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
Course Details/Schedule
Day 1
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
Day 2
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
Day 3
Reviewing the Technical Infrastructure
- Enabling and facilitating technologies for BI
- Structured vs. unstructured data
- Identifying critical and variable attributes
Day 4
Establishing a Data Governance Framework
- Aligning with management standards and strategy
- Protecting your data
- Measuring data quality
- Integrating enterprise architecture and BI
Day 5
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
