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Data Management Concepts

Master the key concepts of data management, from life cycle stages to security and governance.

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2 Hours12 Videos37 Exercises

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Course Description

Discover Data Management Fundamentals

Explore the fundamental concepts of data management in this essential non-technical course designed for data enthusiasts and leaders alike. You will delve into the data life cycle, understand its stages from creation to archiving, and grasp the principles underpinning successful data management.

Pillars of Effective Data Management

Explore the pillars of data management, including governance, architecture, quality management, metadata, and security, providing a comprehensive framework for robust data management. Evaluate your organization's data management maturity, identify areas for improvement, and develop a roadmap for advancement. Navigate the ethical considerations surrounding data management, including privacy, consent, and accountability.

Preparing for the Future of Data Management

As you gain insights into the ever-evolving landscape of data management, prepare for the future by understanding emerging trends driven by technologies like data mesh architecture and cloud-based data management. Equip yourself with the skills to make informed decisions, ensure regulatory compliance, and thrive in today's data-driven business environment. The future looks promising for those ready to harness the power of effective data management.
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In the following Tracks

Data Governance Fundamentals

Go To Track
  1. 1

    Demystifying data management

    Free

    Embark on an introductory journey into data management in this chapter. Uncover the benefits it offers, examine the stages of the data life cycle, and conclude by understanding the key principles that enable effective data management.

    Play Chapter Now
    Data management benefits and significance
    50 xp
    Data management across professions
    50 xp
    Why data management?
    100 xp
    Understanding the journey of information
    50 xp
    Data lifecycle shuffle
    100 xp
    Spotting truths in the data journey
    100 xp
    Principles of effective data management
    50 xp
    Guiding data success
    50 xp
    Organize the secrets of data success
    100 xp
    Nairobi Ventures needs help!
    100 xp
  2. 2

    Pillars of data management

    Delve into the pillars of data management in this chapter, where exploration of reliability, safety, governance, and intelligence unfolds. Uncover the complexities of building a robust data foundation and navigate the dynamic phases of data management through Peter Aiken's DMBoK Pyramid, acknowledging the adaptability essential for organizational distinctiveness.

    Play Chapter Now
    Enhancing data reliability
    50 xp
    How well can you categorize data?
    100 xp
    Empowering genomic researchers
    50 xp
    Protecting, guiding, and harnessing data wisdom
    50 xp
    Data management pillars
    100 xp
    Sorting fact from fiction
    50 xp
    The foundational pillars
    50 xp
    Swahili Organics needs your help!
    50 xp
    Sequencing data pillars
    100 xp
    Aiken pyramid
    50 xp
    Understanding the initiatives of phase 1
    50 xp
    Mastering Aiken pyramid phases
    100 xp
    A roadmap to success
    100 xp
  3. 3

    Data management within organizations

    As your data management journey nears its end, you'll be armed with practical blueprints to assess your data's maturity, build trust through transparent accountability, and uphold ethical practices. With these tools, you'll unlock your data's full potential, crafting future-proof strategies that propel your organization to new heights.

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    Data management maturity assessments
    50 xp
    What is your objective?
    50 xp
    Mapping approaches to maturity assessments
    100 xp
    Data management operating models
    50 xp
    Sequencing data management operating models
    100 xp
    Is that true about hybrid models?
    50 xp
    Ethical data handling
    50 xp
    Navigating consent in the social media age
    50 xp
    Assessing ethical data handling practices
    100 xp
    The future of data management
    50 xp
    Cloudy with a chance of data transformation
    50 xp
    Challenging the data mesh
    100 xp
    Model matching madness
    100 xp
    Recap
    50 xp
For Business

GroupTraining 2 or more people?

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In the following Tracks

Data Governance Fundamentals

Go To Track

Collaborators

Collaborator's avatar
Jordan Beecher
Collaborator's avatar
Joe Franklin
Sharon Omwega HeadshotSharon Omwega

Data Scientist at the Central Bank of Kenya

Sharon Omwega is an experienced data scientist who leverages advanced analytics, and crafts data-driven solutions that optimize product development, streamline operations, and yield measurable ROI. Sharon’s expertise extends to data governance and data management, ensuring the integrity and accountability of information assets. Employing a collaborative approach, Sharon champions analytics-backed decision-making across all organizational levels to drive informed and strategic outcomes.
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