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Strategic Data Governance: Frameworks, Standards, and Best Practices

Ensuring Compliance and Efficiency with Strategic Data Governance

  • Schedule

    25 – 26 November 2024
    09.00 – 16.00 WIB

  • Habitare

    Jl. H. R. Rasuna Said No.Kav.20, Karet Kuningan, Kecamatan Setiabudi, Jakarta Selatan 12940

  • Investment

    Rp. 5.550.000

12

Hours Course

WORKSHOP STARTS IN

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Overview

This course provides a comprehensive understanding of data governance, integrating globally recognized frameworks such as DAMA and DMBOK with practical guidance on compliance, data lifecycle management, and technology integration. The training focuses on strategic and operational aspects of data governance, ensuring participants can design and implement effective data governance frameworks aligned with both global standards and local regulations, including Indonesia’s Personal Data Protection (PDP) regulation.

Course Syllabus

  • Understand the definition and importance of data governance.
  • Learn the key principles and objectives behind implementing data governance.
  • Explore the historical context and global standards in data governance.
  • Discover the components of the DAMA Wheel and how they interconnect.
  • Gain insights into the DMBOK framework for comprehensive data management.
  • Learn how DAMA and DMBOK frameworks work together in practice.
  • Apply these frameworks across industries for practical data governance solutions.
  • Identify the key roles in data governance, including data owners, stewards, custodians, and users.
  • Understand the responsibilities and interactions between these roles.
  • Explore strategies for effectively managing data governance roles within your organization.
  • Learn the importance of data quality in decision-making processes.
  • Discover techniques to maintain and improve data quality.
  • Understand key concepts in data security and how to implement protective measures.
  • Explore major global data protection regulations.
  • Understand the requirements of Indonesia’s Personal Data Protection (PDP) regulation.
  • Learn strategies for ensuring compliance with PDP and other key regulations.
  • Learn best practices for governing data across its lifecycle, from creation to destruction.
  • Ensure compliance and data security at every stage of the data lifecycle.
  • Discover how technology can support and enhance data governance efforts.
  • Explore tools and platforms for automating and cataloging data governance activities.
  • Learn about emerging trends and future technologies in data governance.
  • Analyze case studies of successful DAMA and DMBOK implementations.
  • Learn how to align data governance practices with DAMA and DMBOK to ensure data quality and security.
  • Practice applying both frameworks to create a comprehensive data governance strategy.
  • Learn risk management strategies focused on data privacy and regulatory compliance.
  • Discover methods to continuously improve data governance using DAMA and DMBOK principles.
  • Integrate risk management into your overall governance strategy.
  • Conduct a current state analysis of your organization’s data governance practices.
  • Perform a SWOT analysis to identify strengths, weaknesses, opportunities, and threats in data governance.
  • Engage in collaborative discussions to address challenges and find solutions for improving data governance practices.

Course Receivables

  • Lecturer’s Notes

    Including Course Books (PDF), HTML files, course transcripts (if any).

  • Highly-accelerated Learning

    Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout each course.

  • Certification of Completion

    Show current employer hat you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, and small group size.

  • Refreshments & Coffee Break

    In our commitment to delivering a premium experience, we collaborate with leading catering services in Jakarta. Our aim is to ensure that all participants are served delectable lunches and revitalizing coffee breaks.

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ABOUT THIS SERIES

Courses in this series cater to a diverse audience: from casual learners and working professionals to those venturing into data science and machine learning without a programming background.

We recognize that many students may not have prior expertise in statistics, mathematics, or algebra. Therefore, our courses are designed with a gentle learning curve, placing a strong emphasis on hands-on experience and individualized instruction. Our dedicated team of instructors and teaching assistants ensure personalized guidance every step of the way.

Teaching Methodology

Students work through tons of real-life examples using sample datasets donated by our mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

YOUR INSTRUCTOR

Handoyo Sjarif
Head of Business Intelligence at Algoritma Data Science School

As a Head of Business Intelligence and also a Senior Data Science Instructor at Algoritma Data Science School, Handoyo is deeply committed to making data science accessible, advocating for its capacity to enhance productivity and societal improvement. He integrates his proficiency in both Python and R programming languages into his instruction, enriching his teachings with a dual language perspective.

With an impressive repertoire of over 800 hours of teaching experience, Handoyo has been instrumental in providing consultative data science training to a range of prestigious clients, including PT Sigma Metrasys Solution, PT. Indosat Ooredoo, and Bank Central Asia. His involvement in significant initiatives, such as the Auto Insurance Fraud Analysis for Jasa Raharja, further underscores his hands-on expertise.

REGISTRATION CLOSED

Get In Touch

PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
Office: 0816-692-471
Email: community@algorit.ma

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