The course gives an overview of how business intelligence technologies can support decision making across any number of business sectors. These technologies have had a profound impact on corporate strategy, performance, and competitiveness and broadly encompass decision support systems, business intelligence systems, and visual analytics. Modules are organized around the business intelligence concepts, tools, and applications, and the use of data warehouse for business reporting and online analytical processing, for creating visualizations and dashboards, and for business performance management and descriptive analytics.

You Will Learn How To:

● Apply the BI Meta Model (BIMM) to turn desired outcomes into actions
● Choose between a strategic and a tactical application of BI
● Map operational data to a data warehouse
● Design a BI solution for a business problem

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