Introduction to Business Intelligence:

Defining Business Intelligence (BI)

Evaluating business readiness for 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

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

Establishing a data governance framework

Enabling and facilitating technologies for BI

Structured vs. unstructured data

Identifying critical and variable attributes

Aligning with management standards and strategy

Protecting your data

Measuring data quality

Integrating enterprise architecture and BI

Building your BI strategy

Iterating the BI metamodel

Investigating the business advantages of strategic vs. tactical organisational situation

Starting BI with outcome-driven processes

Articulating well-formed outcomes

Realising the desired outcome from a specific organisational situation

Targeting the process to achieve the desired outcome

Deriving actions and decisions from the desired outcome

Dealing with data

Developing the data warehouse

Top-down vs. Bottom-up data analysis

Establishing a measure of data quality

Designing standardised business metadata

Selecting source data

OLAP vs. OLTP

Extracting data from multiple sources

Loading data into a data warehouse

Modelling the dimensional business process

Meeting the six challenges of BI with the BICC

Browsing your data and creating the appropriate schema

Navigating facts and dimensions

Selecting dimensions and traversing hierarchies

Supporting stakeholders

Sustaining business strategy

Sharing knowledge throughout the organisation

Building the BICC

Evaluating BI tools

Promoting expertise within your organisation

Producing a BICC functional checklist

Clarifying the roles of the BICC

Organising the BICC

Selecting criteria for BI tools

Slicing and dicing your data using multidimensional cubes

Examining the characteristics of a data mine

Reviewing data-mining tools

Surveying BI vendors

Leveraging performance measurement tools

Ability to deliver

Product completeness

Displaying information using digital dashboards

Defining effective key performance indicators (KPIs)

Communicating to stakeholders through scorecards