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Introduction to Business Data Analytics

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In today’s fast-paced business environment, technology has enabled dramatic business transformations and even the emergence of new industries. Behind most of these transformations lies data. Business data analytics is a skillset in which specific competencies and practices are exercised to gather, analyze and make evidence-based recommendations gleaned from data.

In this introductory course, participants will learn the basic competencies of business data analytics as defined by the International Institute of Business Analytics (IIBA®). It will prepare participants to start their career journey into this emerging area of skills. After this course, participants with related work experience may want to consider writing the Certification in Business Data Analytics (CBDA) exam.

LEARNING OBJECTIVES

At the end of this workshop, participants will be able to:

  • Describe the role of the business data analyst
  • Identify how data can be used to answer questions or and/or solve problems
  • Develop a data sourcing strategy for a specific business problem
  • Use basic data analysis techniques to gain new insights or confirm hypotheses
  • Develop evidence-based recommendations for presentation back to stakeholders
     

WHO SHOULD ATTEND

This course is appropriate for data project sponsors, business analysts, consultants, or project managers.

PREREQUISITE

There is no prerequisite for this course.

MATERIALS

Participants in this course will receive a course workbook with copies of all presentation materials, case studies and handouts. In addition, they will receive an electronic copy (PDF or ePUB) of the Guide to Business Data Analytics published by the IIBA.

WHAT WILL YOU LEARN

Introduction

  • What is business data analytics
  • Organizational vs. Practitioner Views


Identifying Research Questions

  • Framing the business situation
  • Planning an analytics approach


Sourcing Data

  • Identifying data sources
  • Determining when and how to obtain data
  • Performing data setup and preparation


Analyzing Data

Interpreting and Reporting Results

Using Results to Influence Business Decision Making

Guiding Company-Level Strategy for Business Analytics

  • Recommended Actions
  • Master Data Management (MDM)
  • Curating Data
  • Managing Metadata


Wrap Up

upcoming sessions

Dec. 10, 2024 - Dec. 12, 2024
Instructor: TBD

Event starts in: 7 days


Register Here
Jun. 03, 2025 - Jun. 05, 2025
Instructor: TBD

Event starts in: 182 days


Register Here
Dec. 10, 2025 - Dec. 12, 2025
Instructor: TBD

Event starts in: 372 days


Register Here

PMI PDUs

PMI Talent TriangleThe following table provides the breakdown of the professional development units (PDUs) for this course aligned with the PMI Talent TriangleTM.

  WoW PS BA
PMP 1.0 0 9.5
PgMP 1.0 0 9.5
PfMP 0 0 9.5
PMI-ACP 0 0 9.5
PMI-SP 1.0 0 9.5
PMI-RMP 0 0 9.5
PMI-PBA 1.0 0 9.5

The three columns in the above table are Ways of Working, Power Skills & Business Acumen.

Other Credits

Other professional (re)certification credits are available, including:

  • Certified Business Analyst Professionals (CBAPs) earn 10.5 CDUs (Category 2B)
  • Certified Software Quality Engineers (CSQEs) earn 1.5 RUs
  • CIPS Information Systems Professionals (ISPs) earn 10.5 Learning Credits
  • CIPS Information Technology Certified Professional (ITCPs) earn 10.5 Learning Credits