Data-Driven Decision Making and Innovation

Data-Driven Decision Making and Innovation, available at $54.99, has an average rating of 3.7, with 41 lectures, based on 63 reviews, and has 1006 subscribers.

You will learn about A deep understanding of the data-driven decision making process; so that you become the go-to subject matter expert in your organization How to develop a clear data-use vision and strategy; so that investments and activities lead to real business benefits Which human characteristics, mindsets and behaviors to practice to be more data-driven; so that you become a better 21st century leader or manager How to identify and correct weaknesses within your organisation's decision making process; to ensure efficiencies and effectiveness of all activities The key ingredients (beyond technology and skills) required to be data-driven; increased chances of investments leading to real organisational benefits This course is ideal for individuals who are Anyone who is interested in making better decisions using data or Anyone who works in data intensive industries such as manufacturing, finance, technology, sales, education, retail, etc. or Anyone who works within a technical field – but wants to graduate to a management or leadership role It is particularly useful for Anyone who is interested in making better decisions using data or Anyone who works in data intensive industries such as manufacturing, finance, technology, sales, education, retail, etc. or Anyone who works within a technical field – but wants to graduate to a management or leadership role.

Enroll now: Data-Driven Decision Making and Innovation

Summary

Title: Data-Driven Decision Making and Innovation

Price: $54.99

Average Rating: 3.7

Number of Lectures: 41

Number of Published Lectures: 41

Number of Curriculum Items: 41

Number of Published Curriculum Objects: 41

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

A deep understanding of the data-driven decision making process; so that you become the go-to subject matter expert in your organization
How to develop a clear data-use vision and strategy; so that investments and activities lead to real business benefits
Which human characteristics, mindsets and behaviors to practice to be more data-driven; so that you become a better 21st century leader or manager
How to identify and correct weaknesses within your organisation's decision making process; to ensure efficiencies and effectiveness of all activities
The key ingredients (beyond technology and skills) required to be data-driven; increased chances of investments leading to real organisational benefits

Who Should Attend

Anyone who is interested in making better decisions using data
Anyone who works in data intensive industries such as manufacturing, finance, technology, sales, education, retail, etc.
Anyone who works within a technical field – but wants to graduate to a management or leadership role

Target Audiences

Anyone who is interested in making better decisions using data
Anyone who works in data intensive industries such as manufacturing, finance, technology, sales, education, retail, etc.
Anyone who works within a technical field – but wants to graduate to a management or leadership role

Making strategic decisions, which is the act of allocating limited time and money towards specific objectives, is a fundamental component of business and personal management. Good decisions lead to success while poor decisions lead to loss or failure.

A data-driven organization is one that leverages information technology to collect, manage and transform data into relevant insights for strategic decision making. Research has shown that data-derived insights can reduce the time and the costs associated with an organization’s research and development process. In fact, research has shown that data itself can become or define a new product, and that data-driven firms innovate more frequently and more intensely than other firms.

The overall objective of this course is to make you a more effective 21st century decision maker. This will aid you in becoming a more effective leader or role model in your current organization, and potentially a more attractive candidate for future leadership roles.

The course aims to achieve this by equipping you with a deep insight and understanding of the following two themes:

1. How to effectively implement data-driven decision making within an organization

2. What mindsets and behaviors you need to develop or practice in order to become an effective data-driven leader

This course is not technical in nature at all. No background experience in data analysis or data technology is required. Exposure to business decision making, in any type or size of organization, is advantageous.

(All slides are provided in the first and last lecture of each chapter)

Course Curriculum

Chapter 1: Introductions

Lecture 1: Making Decisions in the 21st Century …is all about data

Lecture 2: The Truth About Data-Driven Decision Making …is that most people get it wrong

Lecture 3: The Secret to Being Data-Driven…is you

Lecture 4: What You Will Learn – Outline Of The Entire Course

Chapter 2: Chapter 1: Key Terms, Frameworks And The Data-Driven Decision Making Process

Lecture 1: Lecture 1: Introduction To The DIKW-D Model

Lecture 2: Lecture 1: The DIKW-D Model

Lecture 3: Lecture 1: Final Thoughts and Remarks

Lecture 4: Lecture 2: Introduction To Data-Use Maturity Frameworks

Lecture 5: Lecture 2: Data Use Maturity Frameworks

Lecture 6: Lecture 2: Final Thoughts and Remarks

Lecture 7: Lecture 3: Introduction To the Data-Driven Decision Making Process

Lecture 8: Lecture 3: The Data-Driven Decision Making Process

Lecture 9: Chapter 1: Final Thoughts And Remarks

Chapter 3: Preparing for Success: The Right Strategy, Technology and People

Lecture 1: Chapter 2 Introduction

Lecture 2: Lecture 4: Introduction – The Right Data-Use Strategy

Lecture 3: Lecture 4: Introduction To The Business Model Canvas

Lecture 4: Lecture 4: Using the Business Model Canvas To Create Focus

Lecture 5: Lecture 4: Concluding Remarks About The Business Model Canvas

Lecture 6: Lecture 4: Introduction To The 10 Types of Innovation

Lecture 7: Lecture 4: Using the Ten Types of Innovation Framework To Foster Creativity

Lecture 8: Lecture 4: Final Thoughts and Remarks

Lecture 9: Lecture 5: Introduction – The Right Technology

Lecture 10: Lecture 5: The Right Technology

Lecture 11: Lecture 6: Introduction – The Right People

Lecture 12: Lecture 6: The Right People (skills)

Lecture 13: Lecture 6: The Right People (structure)

Lecture 14: Chapter 2: Final Thoughts And Remarks

Chapter 4: Ensuring Success: The Mindsets and Behaviors of Data-Driven Leaders and Managers

Lecture 1: Chapter 3: Introduction

Lecture 2: Lecture 7: Data-Driven Mindset #1

Lecture 3: Lecture 7: Data-Driven Mindset #2

Lecture 4: Lecture 7: Data-Driven Mindset #3

Lecture 5: Lecture 7: Data-Driven Mindset #4

Lecture 6: Lecture 7: Data-Driven Mindset #5

Lecture 7: Lecture 7: Final Thoughts and Remarks

Lecture 8: Lecture 8: Data-Driven Behavior #1

Lecture 9: Lecture 8: Data-Driven Behavior #2

Lecture 10: Lecture 8: Data-Driven Behavior #3

Lecture 11: Lecture 8: Data-Driven Behavior #4

Lecture 12: Lecture 8: Data-Driven Behavior #5

Lecture 13: Lecture 9: Course Conclusion

Chapter 5: Links to articles and websites used

Lecture 1: Links

Instructors

Jef Jacobs
Economist, academic and strategist

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 14 votes
4 stars: 15 votes
5 stars: 31 votes

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