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Janani Ravi

This course will teach you how decision-making in an enterprise setting can be grounded in data. Important data-driven decision-making frameworks will be introduced and case studies applying data-driven decision-making will be explored.

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This course will teach you how decision-making in an enterprise setting can be grounded in data. Important data-driven decision-making frameworks will be introduced and case studies applying data-driven decision-making will be explored.

Making an informed data-driven decision is important. In this course, Approaches to Data Enabled Decision Making, you’ll learn to structure decision-making in an enterprise setting to be grounded in data.

First, you will explore the different types of data-enabled decision-making such as data-inspired, data-informed, and data-driven decision making and understand the similarities and differences between these. You will also learn the basic steps involved in data-driven decision-making and how they can be applied in an organization.

Next, you will explore some common frameworks for data-enabled decision making such as the BADI framework, multiple-criteria decision making using goal programming, and the analytic hierarchy process. You will also learn how to relate to workflows in analytics, such as CRISP-DM, and the build-test-deploy lifecycle of an ML model. You will also study Porter’s five forces framework to analyze competitive forces in any industry.

Finally, you will explore real-world organizational case studies that use data to structure both tactical and strategic decisions. Case studies will cover the hospitality industry, a financial management firm, and a wedding and wine event management company.

When you’re finished with this course, you’ll have the skills and knowledge of data-driven decision-making needed to effectively structure and drive decision-making in your organization.

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What's inside

Syllabus

Course Overview
Introducing Data-driven Decision Making
Exploring Decision Frameworks
Applying Data-driven Decision Making
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches data-enabled decision-making frameworks and their applications, which is standard in enterprise settings
Examines common data-driven decision-making frameworks and their applications, which are widely used in industry
Develops skills and knowledge in data-driven decision-making, which are core skills for enterprise-level professionals
Provides case studies from various industries, which showcases real-world applications of data-driven decision-making
Introduces different types of data-enabled decision-making, their similarities, and differences, which provides a comprehensive understanding of the subject

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Approaches to Data Enabled Decision Making with these activities:
Review Data Science for Business
Reviewing this book will help you build a solid foundation in data science concepts and techniques and prepare you for the more advanced topics covered in the course.
Show steps
  • Read the book's introduction and first three chapters.
  • Summarize the key concepts and ideas in each chapter.
  • Identify the different types of data that businesses collect.
  • Describe the different ways that data can be used to make better decisions.
Review Statistics and Probability Concepts
Refreshing your knowledge of statistics and probability will help you better understand the concepts and techniques used in data-driven decision making.
Browse courses on Statistics
Show steps
  • Review your notes from a previous statistics and probability course.
  • Complete practice problems in a statistics and probability textbook.
  • Take a statistics and probability refresher course online.
Data-Driven Decision Making Online Course
Taking this online course will help you gain a foundational understanding of data-driven decision making and its applications in business.
Show steps
  • Enroll in the online course.
  • Complete the course's modules and assignments.
  • Participate in the course's discussion forums.
Five other activities
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Show all eight activities
Volunteer at a Data-Driven Organization
Volunteering at a data-driven organization will allow you to gain practical experience in using data to make better decisions.
Show steps
  • Find a data-driven organization that is looking for volunteers.
  • Apply to volunteer.
  • Complete the volunteer training program.
  • Work on data-driven projects at the organization.
Data Analysis Exercises
Completing these exercises will help you develop your data analysis skills and learn how to apply data-driven insights to business problems.
Browse courses on Data Analysis
Show steps
  • Use a data visualization tool to create a chart or graph that represents a dataset.
  • Use a statistical software package to perform a regression analysis.
  • Write a report that summarizes your findings from a data analysis project.
Data-Driven Decision Making Discussion Group
Joining a discussion group will allow you to share your ideas and experiences with other students and learn from their perspectives.
Show steps
  • Find a discussion group that meets regularly.
  • Attend the group's meetings and participate in the discussions.
  • Share your own insights and experiences with the group.
Data-Driven Decision Making Workshop
Attending this workshop will provide you with an opportunity to learn from experts in the field of data-driven decision making.
Show steps
  • Find a data-driven decision making workshop that is relevant to your interests.
  • Register for the workshop.
  • Attend the workshop and participate in the activities.
Data-Driven Decision Making Case Study
Completing this case study will help you apply the principles of data-driven decision making to a real-world business problem.
Show steps
  • Identify a business problem that can be solved using data.
  • Collect data that is relevant to the business problem.
  • Analyze the data to identify insights that can be used to make better decisions.
  • Write a report that summarizes your findings and recommendations.

Career center

Learners who complete Approaches to Data Enabled Decision Making will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist is responsible for developing and implementing data-driven solutions to business problems. This course can help you become a Data Scientist by teaching you the basics of data-driven decision-making and how to use data to make informed decisions. You will also learn about different data science techniques and how to use them to solve business problems.
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course can help you become a Data Analyst by teaching you the basics of data-driven decision-making and how to use data to make informed decisions. You will also learn about different data analysis techniques and how to use them to solve business problems.
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying areas for improvement. This course can help you become a Business Analyst by teaching you the basics of data-driven decision-making and how to use data to make informed decisions. You will also learn about different business analysis techniques and how to use them to solve business problems.
Management Consultant
A Management Consultant is responsible for helping organizations improve their performance. This course can help you become a Management Consultant by teaching you the basics of data-driven decision-making and how to use data to make informed decisions. You will also learn about different management consulting techniques and how to use them to solve business problems.
Product Manager
A Product Manager is responsible for developing and managing products. This course can help you become a Product Manager by teaching you the basics of data-driven decision-making and how to use data to make informed decisions. You will also learn about different product management techniques and how to use them to develop successful products.
Marketing Manager
A Marketing Manager is responsible for developing and implementing marketing campaigns. This course can help you become a Marketing Manager by teaching you the basics of data-driven decision-making and how to use data to make informed decisions. You will also learn about different marketing techniques and how to use them to reach your target audience.
Sales Manager
A Sales Manager is responsible for developing and implementing sales strategies. This course can help you become a Sales Manager by teaching you the basics of data-driven decision-making and how to use data to make informed decisions. You will also learn about different sales techniques and how to use them to close deals.
Operations Manager
An Operations Manager is responsible for overseeing the day-to-day operations of a business. This course can help you become an Operations Manager by teaching you the basics of data-driven decision-making and how to use data to make informed decisions. You will also learn about different operations management techniques and how to use them to improve efficiency and productivity.
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making investment recommendations. This course can help you become a Financial Analyst by teaching you the basics of data-driven decision-making and how to use data to make informed decisions. You will also learn about different financial analysis techniques and how to use them to evaluate investments.
Risk Analyst
A Risk Analyst is responsible for identifying and assessing risks to a business. This course can help you become a Risk Analyst by teaching you the basics of data-driven decision-making and how to use data to make informed decisions. You will also learn about different risk analysis techniques and how to use them to mitigate risks.
Data Engineer
A Data Engineer is responsible for designing and building data pipelines. This course may be useful for you if you are interested in becoming a Data Engineer.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course may be useful for you if you are interested in becoming a Database Administrator.
Software Engineer
A Software Engineer is responsible for developing and maintaining software applications. This course may be useful for you if you are interested in becoming a Software Engineer.
Web Developer
A Web Developer is responsible for designing and developing websites. This course may be useful for you if you are interested in becoming a Web Developer.
IT Manager
An IT Manager is responsible for overseeing the IT operations of a business. This course may be useful for you if you are interested in becoming an IT Manager.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Approaches to Data Enabled Decision Making.
Examines the role of analytics in competitive advantage. It provides a framework for using analytics to improve decision-making and performance.
Provides a clear and concise introduction to data analytics. It covers the basics of data collection, analysis, and visualization. It valuable resource for anyone who wants to learn more about data analytics.
Provides a practical guide to using data to improve HR decision-making. It covers a wide range of topics, including talent acquisition, performance management, and employee engagement.
Provides a practical guide to using big data and analytics to improve business decision-making. It covers a wide range of topics, including data collection, analysis, and visualization.
Provides a clear and concise introduction to data analytics. It covers the basics of data collection, analysis, and visualization. It valuable resource for anyone who wants to learn more about data analytics.
Provides a practical guide to data-driven decision making for executives. It covers a variety of topics, including data collection, data analysis, and decision-making models.

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