BIDSP – Introduction to Business Intelligence: Designing a Successful BI Programme


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Upcoming Dates

Oct 17 - Oct 19, 2022
09:00 - 17:00

Nov 14 - Nov 16, 2022
09:00 - 17:00

Dec 12 - Dec 14, 2022
09:00 - 17:00

Jan 9 - Jan 11, 2023
09:00 - 17:00

Feb 6 - Feb 8, 2023
09:00 - 17:00

Mar 6 - Mar 8, 2023
09:00 - 17:00

BIDSP – Introduction to Business Intelligence: Designing a Successful BI Programme
3 days  (Instructor Led Online)  |  Business Analytics

Course Details

In this BI training course, BIDSP – Introduction to Business Intelligence: Designing a Successful BI Programme, you will learn how to effectively implement a Business Intelligence (BI) programme. In this course, you will also learn how to analyse BI results for better business decisions and increased success in achieving goals.

This BI training programme will teach you how to identify the maturity level of your BI solution, and articulate critical elements of your solution to maximise your organisation’s business opportunities.


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  • 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 the 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

Iterating the BI metamodel

  • 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

  • Top-down vs. Bottom-up data analysis
  • Establishing a measure of data quality
  • Designing standardised business metadata

Developing the data warehouse

  • Selecting source data
  • OLAP vs. OLTP
  • Extracting data from multiple sources
  • Loading data into a data warehouse

Modelling the dimensional business process

  • Browsing your data and creating the appropriate schema
  • Navigating facts and dimensions
  • Selecting dimensions and traversing hierarchies

Organising a Business Intelligence Competency Centre (BICC)

  • Meeting the six challenges of BI with the BICC
  • Supporting stakeholders
  • Sustaining business strategy
  • Sharing knowledge throughout the organisation

Building the BICC

  • Promoting expertise within your organisation
  • Producing a BICC functional checklist
  • Clarifying the roles of the BICC
  • Organising the BICC

Implementing and Fine-Tuning the BI Solution

  • Evaluating BI tools
  • 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

  • Ability to deliver
  • Product completeness

Leveraging performance measurement tools

  • Displaying information using digital dashboards
  • Defining effective key performance indicators (KPIs)
  • Communicating to stakeholders through scorecards

Putting BI to Work for You

  • Applying the BI process across the organisation
  • Blending the BI process into daily management activities
  • Making predictive analytics work for your bottom line