Business Intelligence Training Course

The focus of business intelligence is the transformation of data into value-added information: where to source it, how to integrate it, and how to enhance and deliver it as analytic insight to support business decision making.

In this hands-on Business Intelligence Implementation course you will learn to implement a BI programme that results in better business decisions and increased success in achieving goals. You will learn how to identify the maturity level of your BI solution, and articulate critical elements of your solution to maximise your organisation’s business opportunities. The facilitator will work with you through a case study in this hands-on training and you will be able to re-apply the template as soon as you’re back at work.

• This course has been targeted to the Business Analysis community. BI Administrators, Developers, Analysts, Scientists, and End Users can find additional BI training opportunities here .

• Learning Tree offers training more focused training on those topics here .

• This course has been designed to focus on Preparing a Business Intelligence Initiative, and assumes the audience has come to the training with solid Business Analysis experience. The training will not address fundamental business analysis best practises. If you would like to gain that knowledge first, please consider a foundational course here .

• You will be asked to spend a few minutes reviewing the case study before the first day of class.

Implementing a Business Intelligence Solution Delivery Methods

• After-course instructor coaching benefit
• Learning Tree end-of-course exam included

Implementing a Business Intelligence Solution Course Benefits

• 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

Business Intelligence Implementation Course Outline

Business Intelligence Basics

What Is Business Intelligence?

• What Business Value Does BI Deliver?
• BI Problems: Then and Now
• Components of a BI Solution

BI Terminology

• BI Terminology: OLTP and OLAP
• BI Terminology: Dashboards and Scorecards
• BI Terminology: Extract, Transform, Load and Reporting Tools

Business Intelligence Initiative Roadmap

• The BA Process in Business Intelligence Initiatives
• How the Business Analyst Delivers Business Value

Building Your BI Strategy

Business Intelligence Meta Model (BIMM)

• Why a Business Intelligence Meta Model?
• The BIMM as a Brainstorming Tool
• Other Brainstorming Tools

Elements of the Business Intelligence Meta Model

• Outcomes and Insights
• Knowledge Acquisition
• Information and Structure
• Data

Strategic and Tactical Prioritisation

• Timeboxing
• MoSCoW Analysis
• 2 x 2 Matrix

Characteristics of Well-Formed Outcomes: SAVED

• Example: A Poorly Formed Outcome
• IIBA Requirement Definitions
• Business Requirements
• Example: Business Requirement

Evaluating Readiness for Business Intelligence

Assessing Project Feasibility

• Strategy Analysis
• Introducing Your Planning Spreadsheet
• Every Business Has a BI System or Solution
• Three Skill Sets Needed For Business Intelligence

Business Intelligence Maturity Levels

• Level 1: Informal
• Level 2: Defined
• Level 3: Managed
• Level 4: Controlled
• Level 5: Optimised

Driving the BI Initiative Forwards

• What Are Business Drivers?
• Evaluating Your Maturity Level

Business Intelligence Technologies

• Example: Enabling Technologies for BI
• Identifying Enterprise Systems and Data
• How Is Enterprise Data Stored?
• Understanding Your Data

Data Governance

• Unstructured Data
• Technical Infrastructure
• Structured and Unstructured Data
• Other Definitions of Data Governance

Data Governance Framework

• Areas of Focus
• Who Manages Data Governance?

Dealing With Data

Top-Down Data Analysis

• Enterprise Information Architecture
• Designing Standardised Business Metadata

Bottom-Up Source Data Analysis

• Source Data Selection
• Data Selection Issues

Data Cleansing

• Extract, Transform, and Load (ETL)
• Specifying ETL Rules
• Moving Data to a Data Warehouse

Developing the Data Warehouse

• Denormalisation
• OLTP vs. OLAP
• OLAP Terminology
• Value of OLAP

Organising a Business Intelligence Competency Centre

Defining Competence

• Six Challenges of Business Intelligence
• The Value of the BICC

How the BICC Addresses the Six Challenges of BI

• Supporting Stakeholders
• Supporting Business Strategy
• Sharing Knowledge Throughout the Organisation
• Benefits and Disadvantages of the BICC

What Is the BICC?

• Why Is a BICC Important?
• The Goal of a BICC: Information Democracy
• How Is a BICC Established?

Change Management and Transition Requirements

• Functional Areas in the BICC
• Job Roles in the BICC
• BICC Scalability
• Organising the BICC

Solving Business Problems With BI

Overview of BI Tools

• Organisational Issues
• Reporting on BI Data

KPIs and BI Tools

• KPI Elements
• KPI Indicators
• Digital Dashboards
• Balanced Scorecards

Capstone Activity: Using BI to Solve Problems