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

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Tulevat päivämäärät


Jan 20 - Jan 22, 2021
09:00 - 17:00 (CEST)
online

Apr 13 - Apr 15, 2021
09:00 - 17:00 (CEST)
online

Jul 28 - Jul 30, 2021
09:00 - 17:00 (CEST)
online

Oct 20 - Oct 22, 2021
09:00 - 17:00 (CEST)
online

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

    Course Details

    Yleiskatsaus

    Effective implementation of a Business Intelligence (BI) programme results in better business decisions and increased success in achieving goals. In this BI training course, 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.

    Tavoitteet

    • 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

    Sisältö

    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 fora 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 BI process into daily management activities
    • Making predictive analytics work for your bottom line