From Grassroots Insights to Extraordinary Transformations: Driving Organizational Change through Engineering Data from Pluralsight

Fundamentally altering how an organization runs its technology function is a multi-year journey—and measuring its success can be tricky. The Engineering Transformation organization at Manulife/John Hancock has been involved with that transformation from the beginning and been instrumental in driving some of the changes and evolving how to effectively measure and influence it. Join them for an interactive session to discover and discuss their methodologies to build a sustainable, enduring method to help teams shift to new technologies, embrace change, and ultimately enhance the developer experience—and how you can apply them in your own organization.

What's inside

Syllabus

From grassroots insights to extraordinary transformations: Driving organizational change through engineering data

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covering the journey of the Engineering Transformation organization at Manulife/John Hancock, this course analyzes their methodologies for measuring and influencing technology function transformations, providing practical insights

Suitable for professionals involved in driving organizational change through technology transformations, including technology leaders, engineering managers, and transformation consultants

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 From Grassroots Insights to Extraordinary Transformations: Driving Organizational Change through Engineering Data with these activities:

Organize and review notes

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Review and summarize the notes and materials from the course to prepare for future lessons and review the scope of the course.

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Collect notes and materials from all sources (e.g., lectures, readings, discussions).
Review and summarize the materials, identifying key concepts, definitions, and examples.
Create an organized system (e.g., digital folders, physical notebooks) for storing and retrieving the materials.

Practice data analysis techniques

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Work on exercises and problems to reinforce understanding of data analysis concepts and techniques covered in the course.

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Identify practice problems or exercises (e.g., textbook problems, online resources, practice tests).
Work through the problems step-by-step, applying the concepts and techniques learned in the course.
Review the solutions and identify areas for improvement.

Explore case studies of successful engineering transformations

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Examine real-world examples of successful engineering transformations to gain insights into best practices and challenges.

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Identify case studies (e.g., articles, videos, presentations).
Analyze the case studies, paying attention to the context, strategies, and outcomes.
Summarize the key takeaways and lessons learned.

Two other activities

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Develop a data visualization dashboard

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Create a data visualization dashboard to demonstrate understanding of data analysis and visualization techniques.

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Identify a dataset and define the key metrics to be visualized.
Choose appropriate visualization techniques to represent the data.
Design and develop the dashboard using a visualization tool (e.g., Tableau, Power BI).

Attend meetups or conferences related to engineering transformation

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Meet with other professionals in the field to exchange ideas, learn about new trends, and expand your professional network.

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Research and identify relevant meetups or conferences.
Register and attend the event.
Engage with speakers, attendees, and exhibitors.

Career center

Learners who complete From Grassroots Insights to Extraordinary Transformations: Driving Organizational Change through Engineering Data will develop knowledge and skills that may be useful to these careers:

Artificial Intelligence Engineer

Artificial Intelligence Engineers design, develop, and maintain artificial intelligence systems. Many such Engineers work in the technology sector. Taking this course will help you to develop a strong foundation in the principles of artificial intelligence. This knowledge may be especially valuable to you if you are an Artificial Intelligence Engineer who works on projects related to machine learning, computer vision, or natural language processing.

See salaries and explore the career path for Artificial Intelligence Engineer

Technical Writer

Technical Writers create documentation for a wide range of technical products and services. Many such Writers work in the software industry. Taking this course will help you to develop a deep understanding of software engineering processes and methodologies. This understanding will make you a more effective communicator of technical information to both non-technical and technical audiences.

See salaries and explore the career path for Technical Writer

Machine Learning Engineer

Machine Learning Engineers design, develop, and maintain machine learning models. Many Machine Learning Engineers work in the technology sector. Taking this course can help you develop a better understanding of the challenges and opportunities associated with using machine learning to solve real-world problems. You will also learn how to gather and analyze data, which is essential for building and deploying machine learning models.

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Project Manager

Project Managers plan, execute, and close projects. Many Project Managers work in the technology sector. Taking this course will introduce you to the fundamentals of project management as it relates to software engineering. You will learn how to plan, track, and manage software engineering projects, which is an essential skill for Project Managers.

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Data Scientist

Data Scientists apply scientific methods to solve complex data-related problems. Many Data Scientists work in tandem with teams of software engineers and programmers to build and analyze software systems. Taking this course will help you gain valuable insights into the process of analyzing, evaluating, and deploying new technologies within an organization. You will develop a more nuanced understanding of how organizational structure and culture influence the process of organizational change.

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Product Manager

Product Managers are responsible for managing the development and launch of new products. Many Product Managers work in the technology sector. Taking this course may help you to develop a better understanding of the process of bringing a new technology product to market. You will also learn how to gather and analyze customer feedback, which is an essential skill for Product Managers.

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Business Analyst

Business Analysts collaborate with business leaders, stakeholders, and technology professionals to understand and analyze business problems. They provide recommendations and drive solutions that align with business objectives. As a Business Analyst, you may find that the principles you learn in this course will help you to evaluate, analyze, and influence organizational change. The course can also help you to develop skills in gathering and interpreting data, two important responsibilities of Business Analysts.

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Software Engineer

Software Engineers design, develop, and maintain software systems. Many such Engineers work in the field of data engineering. Taking this course will help you develop valuable new skills for your work as a Data Engineer. You will learn how to collaborate with other engineers and stakeholders to make data-driven decisions. You will also be able to analyze and interpret data to identify opportunities for improvement.

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Consultant

Consultants provide expert advice to businesses on a variety of topics. Many Consultants work in the technology sector, advising businesses on how to best use technology to meet their business objectives. Taking this course may help you to develop a more nuanced understanding of the challenges and opportunities associated with the adoption of new technologies by organizations. This understanding may be useful to you as you advise your clients on technology issues.

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Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure. Many Data Engineers work with software engineers. Taking this course will help you develop valuable new skills for your work as a Data Engineer. You will learn how to collaborate with other engineers and stakeholders to make data-driven decisions. You will also be able to analyze and interpret data to identify opportunities for improvement.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical modeling to analyze financial data for investment purposes. Taking this course may enhance your ability to analyze financial engineering and other complex software systems. As a Quantitative Analyst, you will also learn how to use data and analysis to guide successful decision-making.

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Data Analyst

Data Analysts help to transform large amounts of raw data into useful information that business leaders can use to make better decisions. Many Data Analysts also work with programming and software engineering teams to understand and address team needs. As a Data Analyst, this course can help you to develop a better understanding of how to use data to evaluate, measure, and optimize software engineering processes.

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Software Development Manager

A Software Development Manager oversees the technical aspects of software development and delivery. Many such managers are responsible for building and maintaining teams of software developers. Taking this course can help you understand how to measure, manage, and influence the development process. This understanding may be useful to you in optimizing the work of your team.

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Engineering Manager

Engineering managers are similar to software development managers, in that they manage teams and oversee certain technical projects or tasks. However, the scope of an Engineering Manager's work can include electrical, mechanical, and other engineering disciplines, in addition to software engineering. As an Engineering Manager, the principles and practices that you learn in this course can help you analyze, measure, and improve your team's development processes.

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Financial Analyst

Financial Analysts use financial data to make buy, sell, and hold recommendations regarding financial products. Completing his course will also help you to develop valuable skills in gathering, analyzing, and interpreting financial data. You will also learn the fundamentals of how technology and software may be integrated into financial and investment analysis. This course may be particularly useful to you if you are interested in working for a financial institution.

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