Course Description

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 program 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 maximize your organization’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.

What you will learn

  • 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 Prioritization

    • 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: Optimized

    Driving the BI Initiative Forward

    • 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 Standardized 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

    • Denormalization
    • OLTP vs. OLAP
    • OLAP Terminology
    • Value of OLAP
  • Organizing a Business Intelligence Competency Center

    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 Organization
    • 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
    • Organizing the BICC
  • Solving Business Problems With BI

    Overview of BI Tools

    • Organizational Issues
    • Reporting on BI Data

    KPIs and BI Tools

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

    Capstone Activity: Using BI to Solve Problems

Course: Implementing a Business Intelligence Solution

$1,950.00
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Upcoming Dates

  • Location: ON, Ottawa

  • Date & Time: May 28, 2024 09:00 AM EDT

$1,950.00

Course Dates

Location Date & Time Duration Course Type
  • CL Classroom Live - Traditional live classroom with in-person instructor.
  • CV Classroom Virtual - Attend this live instructor-led event remotely from the indicated tech facility.
  • VL Virtual Live - Attend this live instructor-led event remotely from anywhere.
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Cancelation Policy

If you cannot attend an event, you may send someone else in your place. If that isn’t an option for you, cancellations received up to five working days before the event are refundable, minus a registration service charge ($10 for one-day events; $25 for multiple-day events). After that, cancellations are subject to the entire seminar fee, which you may apply toward a future seminar. Please note that if you don’t cancel and don’t attend, you are still responsible for payment.

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