CONTINUING EDUCATION FOR TAX & FINANCIAL PROFESSIONALS

Delivering Business Analytics

Icon_Self-Study
Self-Study
Icon_Level
Basic
Credits
CPE Credits
13 Credits: Business Management & Organization

Course Description

This groundbreaking resource provides comprehensive coverage across all aspects of business analytics, presenting proven management guidelines to drive sustainable differentiation. Through a rich set of case studies, this course reviews solutions to over twenty common problems including managing analytics assets and information, leveraging technology, nurturing skills, and defining processes.

This course also outlines the Data Scientist’s Code, fifteen principles that, when followed, ensure constant movement towards effective practice. Practical advice is offered for addressing various analytics issues, the advantages and disadvantages of each issue’s solution, and how these solutions can optimally create organizational value.

Learning Objectives

Upon successful completion of this course, participants will be able to:

Chapter 1

  • Recognize how business analytics differs from pure analytics or advanced analytics.

Chapter 2

  • Specify the structural and economic reasons behind business analytics that lead to competitive differentiation.

Chapter 3

  • Identify techniques to keep your organization focused on creating value.

Chapter 4

  • Recognize techniques that help your organization drive productivity, manage risk, and promote competitive differentiation.

Chapter 5

  • Identify methods that help drive maximum value from your information assets and improve your odds of success.

Chapter 6

  • Recognize techniques that drive better operational outcomes.

Chapter 7

  • Recognize methods that manage transparency and standardization.

Chapter 8

  • Identify strategies to select the most appropriate tools for the job at hand.

Chapter 9

  • Identify methods for successful asset management.

Chapter 10

  • Recognize how to implement a plan to help your team manage data.

Chapter 11

  • Specify techniques to operationalize insight.

Course Specifics

Course ID
6161221
Revision Date
January 12, 2018
Advanced Preparation

None

Compliance information

NASBA Provider Number: 103220

Course Instructor

Evan Stubbs Headshot
Evan Stubbs

Evan Stubbs lives in Sydney, Australia, one of the few places in the world where a 30-hour flight itinerary fails to raise even a single eyebrow. His childhood was mainly spent (often unsuccessfully) avoiding brain-controlling parasites, civil war, and biblical floods. He now spends most of his spare time filling in bandicoot holes in his backyard, avoiding murderous redback spiders, writing, and otherwise keeping life (somewhat less) interesting. He’s also the chief analytics officer for SAS Australia/New Zealand and sits on the board of the Institute of Analytics Professionals of Australia. Evan is a prolific speaker and evangelist for the …

Evan Stubbs Read More »

Delivering Business Analytics

Expert Instructors
Format
CPE CREDITS
13 Credits: Business Management & Organization

$351.00$391.00

Clear
Icon_Self-Study
Self-Study
Icon_Level
Basic
Credits
CPE Credits
13 Credits: Business Management & Organization

Course Description

This groundbreaking resource provides comprehensive coverage across all aspects of business analytics, presenting proven management guidelines to drive sustainable differentiation. Through a rich set of case studies, this course reviews solutions to over twenty common problems including managing analytics assets and information, leveraging technology, nurturing skills, and defining processes.

This course also outlines the Data Scientist’s Code, fifteen principles that, when followed, ensure constant movement towards effective practice. Practical advice is offered for addressing various analytics issues, the advantages and disadvantages of each issue’s solution, and how these solutions can optimally create organizational value.

Learning Objectives

Upon successful completion of this course, participants will be able to:

Chapter 1

  • Recognize how business analytics differs from pure analytics or advanced analytics.

Chapter 2

  • Specify the structural and economic reasons behind business analytics that lead to competitive differentiation.

Chapter 3

  • Identify techniques to keep your organization focused on creating value.

Chapter 4

  • Recognize techniques that help your organization drive productivity, manage risk, and promote competitive differentiation.

Chapter 5

  • Identify methods that help drive maximum value from your information assets and improve your odds of success.

Chapter 6

  • Recognize techniques that drive better operational outcomes.

Chapter 7

  • Recognize methods that manage transparency and standardization.

Chapter 8

  • Identify strategies to select the most appropriate tools for the job at hand.

Chapter 9

  • Identify methods for successful asset management.

Chapter 10

  • Recognize how to implement a plan to help your team manage data.

Chapter 11

  • Specify techniques to operationalize insight.

Course Specifics

Course ID
6161221
Revision Date
January 12, 2018
Advanced Preparation

None

Compliance information

NASBA Provider Number: 103220

Course Instructor

Evan Stubbs Headshot
Evan Stubbs

Evan Stubbs lives in Sydney, Australia, one of the few places in the world where a 30-hour flight itinerary fails to raise even a single eyebrow. His childhood was mainly spent (often unsuccessfully) avoiding brain-controlling parasites, civil war, and biblical floods. He now spends most of his spare time filling in bandicoot holes in his backyard, avoiding murderous redback spiders, writing, and otherwise keeping life (somewhat less) interesting. He’s also the chief analytics officer for SAS Australia/New Zealand and sits on the board of the Institute of Analytics Professionals of Australia. Evan is a prolific speaker and evangelist for the …

Evan Stubbs Read More »

Delivering Business Analytics

Expert Instructors
Format
CPE CREDITS
13 Credits: Business Management & Organization

$351.00$391.00

Clear